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Trueanomalyinc
Actively Hiring38 open positions matching criteria
Engineering Manager, Propulsion Development and Test
Propulsion Engineering
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground. OUR VALUES Be the offset. We create asymmetric advantages with creativity and ingenuity. What would it take? We challenge assumptions to deliver ambitious results. It’s the people. Our team is our competitive advantage and we are better together. BENEFITS & PERKS * Best-in-class healthcare: 100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options Generous time off: Flexible Time Off (FTO) for exempt employees, accrued PTO of up to 25 days for non-exempt employees, plus 12 paid holidays; Parental Leave; Sick Leave Fuel for your day: Daily catered lunch and unlimited snacks for in-office employees And more: 401(k) retirement plan, fitness reimbursement, and Dog Fridays Equity participation: Equity is included as part of our total compensation package, giving you an opportunity to share in the company’s success. *Do not apply to fixed term and temporary roles YOUR MISSION As Propulsion Development and Test Manager at True Anomaly, you will own the strategy, execution, and lead the people behind our propulsion development program. You will have the opportunity to build from the ground up. You will directly lead a team of propulsion development engineers responsible for defining our development requirements and completing trades on design options, maturing our propulsion capabilities and executing propulsion development test campaigns across our True Anomaly’s propulsion portfolio. This is a hands-on leadership role for someone who is equally comfortable jumping in and analyzing and driving technical decisions as they are developing and managing the people doing that work. RESPONSIBILITIES Team Leadership & People Management Directly supervise, including hiring and developing a team of propulsion development engineers, capable of writing requirements, designing, analyzing, testing and delivering prototype hardware on aggressive schedules. Align an influx of propulsion development demand with the capabilities, resources and schedules of your team. Collaborate on strategy, schedule commitments and roadmaps to develop propulsion capabilities and deliver product. Set clear expectations, provide regular feedback, conduct performance reviews, and create development plans that grow each team member's technical skills and career. Foster a team culture grounded in technical rigor, safety, accountability, and ownership. Address and resolve technical blockers, resource conflicts, and cross-functional issues affecting your team. Propulsion development products Build and execute a roadmap to evaluate our propulsion systems at component and system level. Spearhead plans to test early and often, buy down risk with smaller tests. Establish system level tests starting with commercial off the shelf GSE hardware, then swap parts out for more representative flight hardware, increasing fidelity over time. Integrate that propulsion test planning with a facility and GSE capability plan. What test capabilities are needed when? What practical limitations of test capability constrain the testing roadmaps. Provide technical oversight and approval authority for infrastructure trade studies; ensure trade study conclusions are well-supported and aligned with program needs and budget. Review and approve P&IDs, fabrication drawings, material selections, and vendor proposals for test stand hardware. Champion safety. Ensure hazard analyses, propellant handling procedures, and regulatory coordination activities are properly resourced and executed. Drive resolution of facility design and construction issues, interfacing with civil, mechanical, electrical, and safety teams as needed. Serve as a management-level champion for safety in all aspects of design and operations. Ensure compliance with environmental regulations and permitting. Ensure hypergolic system designs comply with applicable OSHA, EPA, NFPA, and DoD standards. Oversee hardware procurement, fabrication oversight, installation, and commissioning activities; resolve nonconformances and design anomalies that require management or cross-functional engagement. QUALIFICATIONS Bachelor's degree in Aerospace, Mechanical, or Chemical Engineering. 10+ years of professional experience in propulsion and fluid systems engineering for aerospace, launch vehicle, or defense applications, with at least 3 years in a direct people management or influential leadership role. Demonstrated experience leading a team through the development and execution of propulsion test campaigns, including hot-fire, cold-flow, and pressure testing. Hands-on background in propulsion or fluid system design, analysis, or test. Experience with hypergolic propellant systems, hazardous fluid operations, or high-pressure propulsion ground systems, including familiarity with applicable safety standards and regulatory requirements. Demonstrated ability to manage multiple concurrent workstreams, track schedule and budget performance, and surface risks proactively. Proven track record of building cohesive technical teams and developing individual contributors. Excellent written and verbal communication skills, including the ability to present technical status and recommendations clearly to senior leadership and external stakeholders. U.S. Citizenship required due to government contracts. PREFERRED SKILLS AND EXPERIENCE Direct experience standing up or significantly expanding a propulsion test facility, including infrastructure planning, safety program development, and regulatory coordination. Familiarity with hypergolic propellant handling requirements for NTO, MMH, UDMH, or similar propellants, including material compatibility, PPE, and secondary containment. Familiarity with relevant standards: MIL-STD, AIAA propulsion test standards, NASA-STD-5012, ASME B31.3, NFPA 55, or equivalent. Experience scaling a propulsion team during a high-growth or startup phase. Master's degree in Aerospace, Mechanical, or Chemical Engineering. Active DoD security clearance (Secret or above), or ability to obtain one. COMPENSATION Base Salary: $140,000 to $250,000 Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. ADDITIONAL REQUIREMENTS Work Location —Primarily onsite at our GravityWorks factory in Centennial, CO, with regular travel (up to 20%) to our Long Beach, CA factory and vendor/test sites. Work environment —the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job. Physical demands —the physical demands of the job, including bending, sitting, lifting and driving. This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
View more...Engineering Manager, Autonomy
Autonomy Engineering
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground. OUR VALUES Be the offset. We create asymmetric advantages with creativity and ingenuity. What would it take? We challenge assumptions to deliver ambitious results. It’s the people. Our team is our competitive advantage and we are better together. BENEFITS & PERKS * Best-in-class healthcare: 100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options Generous time off: Flexible Time Off (FTO) for exempt employees, accrued PTO of up to 25 days for non-exempt employees, plus 12 paid holidays; Parental Leave; Sick Leave Fuel for your day: Daily catered lunch and unlimited snacks for in-office employees And more: 401(k) retirement plan, fitness reimbursement, and Dog Fridays Equity participation: Equity is included as part of our total compensation package, giving you an opportunity to share in the company’s success. *Do not apply to fixed term and temporary roles YOUR MISSION As Engineering Manager, Autonomy, you will build and lead a team of autonomy engineers who develop multi-agent resource allocation systems and edge-deployed physical AI capabilities for spacecraft operations. You will be responsible for team growth, performance, and delivery while ensuring alignment with the broader autonomy roadmap spanning constellation scheduling, onboard replanning, and distributed coordination. You will translate technical vision into execution, develop talent, and create the processes and culture that enable your team to deliver validated, rugged autonomy systems that operate under compute and latency constraints and evolve through continuous learning. Your primary focus is people leadership, with technical contributions focused on strategic direction, architecture reviews, and maintaining credibility with your team. RESPONSIBILITIES Technical Oversight & Strategic Contributions Provide technical direction on multi-agent coordination architectures, edge deployment strategies, and validation approaches for constrained optimization problems in spacecraft operations Review and approve technical designs for combinatorial optimization algorithms, stochastic planning systems, and distributed coordination protocols Participate in all aspects of a project's development lifecycle, including design, implementation, and verification. Lead the team by example, setting the standard for technical work (approximately 35% of time) Define autonomy standards, explainability requirements, and validation approaches that enable deployment in high-stakes environments Drive technical decisions on compute allocation, edge optimization strategies, and real-time performance trade-offs Maintain technical credibility in operations research, reinforcement learning, and edge AI deployment Strategic Planning & Execution Define and own the team roadmap in collaboration with autonomy leadership, balancing near-term delivery (flight demonstrations, customer test campaigns) with long-term capability development (continuous learning, end-to-end neural planning) Translate organizational strategy and technical vision into actionable team objectives aligned to customer missions Prioritize work across competing demands: scheduling system maturation, edge autonomy for proximity operations, multi-spacecraft coordination, anomaly detection agents Manage dependencies and coordinate with hardware, trajectory planning, and flight software teams to ensure successful cross-functional delivery Track and communicate team progress, risks, and blockers to leadership and stakeholders with focus on demonstration readiness and customer deliverables Drive continuous improvement in team processes, tools, and workflows to increase velocity from prototype to production-ready systems Work with technical program managers to scope projects, estimate timelines, and commit to deliverables Team Leadership & People Management Build, grow, and lead a team of autonomy engineers through recruiting, hiring, onboarding, and retention Provide direct people management including 1-on-1s, performance reviews, goal setting, and career development Foster a culture of technical excellence, rigorous evaluation, and rapid iteration from concept to flight Develop individual contributors into technical leaders through mentorship, coaching, and growth opportunities Manage team dynamics, resolve conflicts, and ensure healthy team communication and collaboration Facilitate knowledge sharing, cross-training, and documentation practices to build team resilience and institutional knowledge Bridge air domain autonomy expertise with space domain constraints (orbital mechanics, communication latency, compute/power budgets) QUALIFICATIONS Education: Master's degree in computer science, aerospace engineering, robotics, applied mathematics, operations research, or related technical field; Ph.D. or Bachelor's degree with equivalent professional experience also accepted Experience: 8+ years of experience in autonomous systems, robotics, AI/ML, or aerospace engineering with at least 4 years in people management, leading teams of 4+ engineers People Management: Demonstrated track record of building, growing, and developing high-performing engineering teams including hiring, performance management, and career development Leadership: Proven ability to lead through influence, manage stakeholder expectations, drive execution in ambiguous environments, and deliver results through others Technical Foundation: Strong foundation in autonomous systems with depth in areas such as multi-agent coordination, combinatorial optimization, reinforcement learning, or constrained planning (sufficient to provide technical oversight and credibility) Domain Knowledge: Experience with real-time planning systems, resource-constrained deployment, or aerospace applications where autonomy operates under strict compute, latency, and power constraints Communication: Exceptional written and verbal communication skills with ability to influence senior leadership, translate between technical and non-technical audiences, and represent the team effectively Strategic Thinking: Ability to translate organizational objectives into team strategy, prioritize competing demands, and make trade-offs that balance technical excellence with delivery Process & Execution: Track record of defining processes, establishing team norms, and driving execution excellence in fast-paced environments Collaboration: Strong cross-functional collaboration skills with ability to build relationships, resolve conflicts, and drive consensus across hardware, software, and trajectory planning teams Clearance: U.S. Citizen and eligible for government security clearance PREFERRED SKILLS AND EXPERIENCE Experience managing geographically distributed or hybrid teams Experience managing teams through full product development lifecycles from early prototypes through operational deployment Track record delivering complex, multi-quarter initiatives requiring coordination across multiple teams and hardware/software integration Experience with agile methodologies, sprint planning, and iterative delivery in engineering environments Background in autonomous aerospace systems: UAVs, spacecraft autonomy, robotic systems, or similar applications Deep experience with operations research: mixed-integer programming, constraint satisfaction, graph optimization, auction algorithms, or task allocation Background in multi-agent reinforcement learning: MARL, policy learning, reward shaping, credit assignment, or cooperative game theory Experience with edge AI deployment: model compression, quantization, inference optimization, embedded ML systems, or real-time neural network execution Background in stochastic optimization, robust planning under uncertainty, or Monte Carlo methods for decision-making Experience with trajectory optimization, motion planning, or sequential decision-making in constrained environments Prior work with hierarchical planning systems, temporal reasoning, or hybrid discrete-continuous optimization Background partnering with product management to define requirements and prioritize features based on technical leverage Experience with resource planning, capacity modeling, and headcount justification Prior work bridging research prototypes (ICAPS/NeurIPS-quality) to production systems with emphasis on scalability and reliability COMPENSATION Base Salary: $205,000 to $315,000 Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. ADDITIONAL REQUIREMENTS Work Location —Successful candidates will be located near Denver, CO or Long Beach, CA. Work environment —the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job. Physical demands —the physical demands of the job, including bending, sitting, lifting and driving. This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
View more...Engineering Manager, Autonomy
Autonomy Engineering
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground. OUR VALUES Be the offset. We create asymmetric advantages with creativity and ingenuity. What would it take? We challenge assumptions to deliver ambitious results. It’s the people. Our team is our competitive advantage and we are better together. BENEFITS & PERKS * Best-in-class healthcare: 100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options Generous time off: Flexible Time Off (FTO) for exempt employees, accrued PTO of up to 25 days for non-exempt employees, plus 12 paid holidays; Parental Leave; Sick Leave Fuel for your day: Daily catered lunch and unlimited snacks for in-office employees And more: 401(k) retirement plan, fitness reimbursement, and Dog Fridays Equity participation: Equity is included as part of our total compensation package, giving you an opportunity to share in the company’s success. *Do not apply to fixed term and temporary roles YOUR MISSION As Engineering Manager, Autonomy, you will build and lead a team of autonomy engineers who develop multi-agent resource allocation systems and edge-deployed physical AI capabilities for spacecraft operations. You will be responsible for team growth, performance, and delivery while ensuring alignment with the broader autonomy roadmap spanning constellation scheduling, onboard replanning, and distributed coordination. You will translate technical vision into execution, develop talent, and create the processes and culture that enable your team to deliver validated, rugged autonomy systems that operate under compute and latency constraints and evolve through continuous learning. Your primary focus is people leadership, with technical contributions focused on strategic direction, architecture reviews, and maintaining credibility with your team. RESPONSIBILITIES Technical Oversight & Strategic Contributions Provide technical direction on multi-agent coordination architectures, edge deployment strategies, and validation approaches for constrained optimization problems in spacecraft operations Review and approve technical designs for combinatorial optimization algorithms, stochastic planning systems, and distributed coordination protocols Participate in all aspects of a project's development lifecycle, including design, implementation, and verification. Lead the team by example, setting the standard for technical work (approximately 35% of time) Define autonomy standards, explainability requirements, and validation approaches that enable deployment in high-stakes environments Drive technical decisions on compute allocation, edge optimization strategies, and real-time performance trade-offs Maintain technical credibility in operations research, reinforcement learning, and edge AI deployment Strategic Planning & Execution Define and own the team roadmap in collaboration with autonomy leadership, balancing near-term delivery (flight demonstrations, customer test campaigns) with long-term capability development (continuous learning, end-to-end neural planning) Translate organizational strategy and technical vision into actionable team objectives aligned to customer missions Prioritize work across competing demands: scheduling system maturation, edge autonomy for proximity operations, multi-spacecraft coordination, anomaly detection agents Manage dependencies and coordinate with hardware, trajectory planning, and flight software teams to ensure successful cross-functional delivery Track and communicate team progress, risks, and blockers to leadership and stakeholders with focus on demonstration readiness and customer deliverables Drive continuous improvement in team processes, tools, and workflows to increase velocity from prototype to production-ready systems Work with technical program managers to scope projects, estimate timelines, and commit to deliverables Team Leadership & People Management Build, grow, and lead a team of autonomy engineers through recruiting, hiring, onboarding, and retention Provide direct people management including 1-on-1s, performance reviews, goal setting, and career development Foster a culture of technical excellence, rigorous evaluation, and rapid iteration from concept to flight Develop individual contributors into technical leaders through mentorship, coaching, and growth opportunities Manage team dynamics, resolve conflicts, and ensure healthy team communication and collaboration Facilitate knowledge sharing, cross-training, and documentation practices to build team resilience and institutional knowledge Bridge air domain autonomy expertise with space domain constraints (orbital mechanics, communication latency, compute/power budgets) QUALIFICATIONS Education: Master's degree in computer science, aerospace engineering, robotics, applied mathematics, operations research, or related technical field; Ph.D. or Bachelor's degree with equivalent professional experience also accepted Experience: 8+ years of experience in autonomous systems, robotics, AI/ML, or aerospace engineering with at least 4 years in people management, leading teams of 4+ engineers People Management: Demonstrated track record of building, growing, and developing high-performing engineering teams including hiring, performance management, and career development Leadership: Proven ability to lead through influence, manage stakeholder expectations, drive execution in ambiguous environments, and deliver results through others Technical Foundation: Strong foundation in autonomous systems with depth in areas such as multi-agent coordination, combinatorial optimization, reinforcement learning, or constrained planning (sufficient to provide technical oversight and credibility) Domain Knowledge: Experience with real-time planning systems, resource-constrained deployment, or aerospace applications where autonomy operates under strict compute, latency, and power constraints Communication: Exceptional written and verbal communication skills with ability to influence senior leadership, translate between technical and non-technical audiences, and represent the team effectively Strategic Thinking: Ability to translate organizational objectives into team strategy, prioritize competing demands, and make trade-offs that balance technical excellence with delivery Process & Execution: Track record of defining processes, establishing team norms, and driving execution excellence in fast-paced environments Collaboration: Strong cross-functional collaboration skills with ability to build relationships, resolve conflicts, and drive consensus across hardware, software, and trajectory planning teams Clearance: U.S. Citizen and eligible for government security clearance PREFERRED SKILLS AND EXPERIENCE Experience managing geographically distributed or hybrid teams Experience managing teams through full product development lifecycles from early prototypes through operational deployment Track record delivering complex, multi-quarter initiatives requiring coordination across multiple teams and hardware/software integration Experience with agile methodologies, sprint planning, and iterative delivery in engineering environments Background in autonomous aerospace systems: UAVs, spacecraft autonomy, robotic systems, or similar applications Deep experience with operations research: mixed-integer programming, constraint satisfaction, graph optimization, auction algorithms, or task allocation Background in multi-agent reinforcement learning: MARL, policy learning, reward shaping, credit assignment, or cooperative game theory Experience with edge AI deployment: model compression, quantization, inference optimization, embedded ML systems, or real-time neural network execution Background in stochastic optimization, robust planning under uncertainty, or Monte Carlo methods for decision-making Experience with trajectory optimization, motion planning, or sequential decision-making in constrained environments Prior work with hierarchical planning systems, temporal reasoning, or hybrid discrete-continuous optimization Background partnering with product management to define requirements and prioritize features based on technical leverage Experience with resource planning, capacity modeling, and headcount justification Prior work bridging research prototypes (ICAPS/NeurIPS-quality) to production systems with emphasis on scalability and reliability COMPENSATION Base Salary: $205,000 to $315,000 Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. ADDITIONAL REQUIREMENTS Work Location —Successful candidates will be located near Denver, CO or Long Beach, CA. Work environment —the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job. Physical demands —the physical demands of the job, including bending, sitting, lifting and driving. This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
View more...Software Engineer I, Elixir (New Grad)
Mosaic Software
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground. OUR VALUES Be the offset. We create asymmetric advantages with creativity and ingenuity. What would it take? We challenge assumptions to deliver ambitious results. It’s the people. Our team is our competitive advantage and we are better together. BENEFITS & PERKS * Best-in-class healthcare: 100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options Generous time off: Flexible Time Off (FTO) for exempt employees, accrued PTO of up to 25 days for non-exempt employees, plus 12 paid holidays; Parental Leave; Sick Leave Fuel for your day: Daily catered lunch and unlimited snacks for in-office employees And more: 401(k) retirement plan, fitness reimbursement, and Dog Fridays Equity participation: Equity is included as part of our total compensation package, giving you an opportunity to share in the company’s success. *Do not apply to fixed term and temporary roles YOUR MISSION Software is the central nervous system for True Anomaly’s engineering and product thesis. Software bridges the gap between military objectives, theoretical astrodynamics and the human and autonomous control of spacecraft and ground systems in time and space. True Anomaly is seeking an Elixir Software Engineer for development of our distributed spacecraft ground control system. You do not need to have experience building space ground systems or experience in aerospace. You’ll have ownership of challenging, greenfield problems and a chance to fundamentally impact the outcome of future conflict (and the future of the company), all while enjoying world-class benefits including platinum healthcare, flexible work hours/location, highly competitive compensation and a generous stock options package. This is a 3 month temporary employment engagement. There is potential to convert to regular employment based on performance and business need. RESPONSIBILITIES Design, develop, and sustain satellite command and control, mission planning, mission data processing and data analysis software systems using Elixir Bring your voice to the table in team collaborations on architecture, design, and code reviews Interact and collaborate with engineers from various disciplines to create emergent results QUALIFICATIONS 0 to 2 years of software development experience Bachelor’s degree in computer science or similar discipline or relevant experience Exposure to modern functional programming paradigms, esp. Elixir and/or Erlang Interest in developing resilient and fault-tolerant architectures Eagerness to develop leadership ability, exceptional written and oral communication skills, and aptitude for working across disciplines Enjoys debugging and problem solving live systems Familiarity with distributed systems, reasoning about concurrency U.S. Citizen and eligible for DoD Secret or TS/SCI clearance PREFERRED SKILLS AND EXPERIENCE Familiarity with Elixir and OTP including GenServer, Registry, Tasks, Phoenix.PubSub, and Broadway Relational database experience with PostgreSQL or similar Experience with monitoring and tracing in a distributed system Experience working with real-time applications COMPENSATION Base Salary: Denver: $75,000 Long Beach: $80,000 Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. ADDITIONAL REQUIREMENTS Work Location —Successful candidates will be located near Denver or Colorado Springs. While we observe a hybrid work environment, some work must be done on site. Work environment —the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job. Physical demands —the physical demands of the job, including bending, sitting, lifting and driving. This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
View more...Software Engineer I, Elixir (New Grad)
Mosaic Software
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground. OUR VALUES Be the offset. We create asymmetric advantages with creativity and ingenuity. What would it take? We challenge assumptions to deliver ambitious results. It’s the people. Our team is our competitive advantage and we are better together. BENEFITS & PERKS * Best-in-class healthcare: 100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options Generous time off: Flexible Time Off (FTO) for exempt employees, accrued PTO of up to 25 days for non-exempt employees, plus 12 paid holidays; Parental Leave; Sick Leave Fuel for your day: Daily catered lunch and unlimited snacks for in-office employees And more: 401(k) retirement plan, fitness reimbursement, and Dog Fridays Equity participation: Equity is included as part of our total compensation package, giving you an opportunity to share in the company’s success. *Do not apply to fixed term and temporary roles YOUR MISSION Software is the central nervous system for True Anomaly’s engineering and product thesis. Software bridges the gap between military objectives, theoretical astrodynamics and the human and autonomous control of spacecraft and ground systems in time and space. True Anomaly is seeking an Elixir Software Engineer for development of our distributed spacecraft ground control system. You do not need to have experience building space ground systems or experience in aerospace. You’ll have ownership of challenging, greenfield problems and a chance to fundamentally impact the outcome of future conflict (and the future of the company), all while enjoying world-class benefits including platinum healthcare, flexible work hours/location, highly competitive compensation and a generous stock options package. This is a 3 month temporary employment engagement. There is potential to convert to regular employment based on performance and business need. RESPONSIBILITIES Design, develop, and sustain satellite command and control, mission planning, mission data processing and data analysis software systems using Elixir Bring your voice to the table in team collaborations on architecture, design, and code reviews Interact and collaborate with engineers from various disciplines to create emergent results QUALIFICATIONS 0 to 2 years of software development experience Bachelor’s degree in computer science or similar discipline or relevant experience Exposure to modern functional programming paradigms, esp. Elixir and/or Erlang Interest in developing resilient and fault-tolerant architectures Eagerness to develop leadership ability, exceptional written and oral communication skills, and aptitude for working across disciplines Enjoys debugging and problem solving live systems Familiarity with distributed systems, reasoning about concurrency U.S. Citizen and eligible for DoD Secret or TS/SCI clearance PREFERRED SKILLS AND EXPERIENCE Familiarity with Elixir and OTP including GenServer, Registry, Tasks, Phoenix.PubSub, and Broadway Relational database experience with PostgreSQL or similar Experience with monitoring and tracing in a distributed system Experience working with real-time applications COMPENSATION Base Salary: Denver: $75,000 Long Beach: $80,000 Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. ADDITIONAL REQUIREMENTS Work Location —Successful candidates will be located near Denver or Colorado Springs. While we observe a hybrid work environment, some work must be done on site. Work environment —the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job. Physical demands —the physical demands of the job, including bending, sitting, lifting and driving. This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
View more...Machine Learning Engineer (II-III), Space Agentic AI
Autonomy Engineering
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground. OUR VALUES Be the offset. We create asymmetric advantages with creativity and ingenuity. What would it take? We challenge assumptions to deliver ambitious results. It’s the people. Our team is our competitive advantage and we are better together. BENEFITS & PERKS * Best-in-class healthcare: 100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options Generous time off: Flexible Time Off (FTO) for exempt employees, accrued PTO of up to 25 days for non-exempt employees, plus 12 paid holidays; Parental Leave; Sick Leave Fuel for your day: Daily catered lunch and unlimited snacks for in-office employees And more: 401(k) retirement plan, fitness reimbursement, and Dog Fridays Equity participation: Equity is included as part of our total compensation package, giving you an opportunity to share in the company’s success. *Do not apply to fixed term and temporary roles YOUR MISSION As a member of the Applied Algorithms and Autonomy team, you will contribute to the design and development of machine learning and AI capabilities for True Anomaly. Working alongside experienced engineers, you will support the development of models and pipelines that enable object classification, anomaly detection, and data-driven decision-making. You are curious, driven, and eager to grow — someone who takes ownership of their work and isn't afraid to tackle hard problems. RESPONSIBILITIES Assist in the development, training, and evaluation of ML models across a range of mission-relevant tasks Support data ingestion, preprocessing, and feature engineering pipelines Run experiments, track results, and contribute to model evaluation and iteration Write clean, documented, and testable Python code as part of a collaborative engineering team Learn and grow alongside senior engineers, contributing meaningfully from day one QUALIFICATIONS Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline, plus 2-4 years of experience; or a Master's degree in one of these fields with no experience required. Proficiency in Python Foundational understanding of machine learning concepts including supervised learning, unsupervised learning, and model evaluation Exposure to ML frameworks such as PyTorch, TensorFlow, or JAX through coursework, research, or personal projects Strong mathematical fundamentals in linear algebra, statistics, and probability Eagerness to learn, take feedback, and grow in a fast-paced, mission-driven environment Passion for spaceflight and advancing capabilities related to space domain awareness and space security PREFERRED SKILLS AND EXPERIENCE Internship, research, or project experience applying ML to real-world or research datasets Familiarity with classification, regression, clustering, or anomaly detection techniques Experience with version control (Git) and basic software engineering practices Exposure to MLOps concepts such as experiment tracking or model versioning Coursework or project work in deep learning, computer vision, or time-series analysis COMPENSATION Base Salary: $125,000 - $220,000 Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. ADDITIONAL REQUIREMENTS Work Location — this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily. Work environment —the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job. Physical demands —the physical demands of the job, including bending, sitting, lifting and driving. This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
View more...Machine Learning Engineer (II-III), Space Agentic AI
Autonomy Engineering
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground. OUR VALUES Be the offset. We create asymmetric advantages with creativity and ingenuity. What would it take? We challenge assumptions to deliver ambitious results. It’s the people. Our team is our competitive advantage and we are better together. BENEFITS & PERKS * Best-in-class healthcare: 100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options Generous time off: Flexible Time Off (FTO) for exempt employees, accrued PTO of up to 25 days for non-exempt employees, plus 12 paid holidays; Parental Leave; Sick Leave Fuel for your day: Daily catered lunch and unlimited snacks for in-office employees And more: 401(k) retirement plan, fitness reimbursement, and Dog Fridays Equity participation: Equity is included as part of our total compensation package, giving you an opportunity to share in the company’s success. *Do not apply to fixed term and temporary roles YOUR MISSION As a member of the Applied Algorithms and Autonomy team, you will contribute to the design and development of machine learning and AI capabilities for True Anomaly. Working alongside experienced engineers, you will support the development of models and pipelines that enable object classification, anomaly detection, and data-driven decision-making. You are curious, driven, and eager to grow — someone who takes ownership of their work and isn't afraid to tackle hard problems. RESPONSIBILITIES Assist in the development, training, and evaluation of ML models across a range of mission-relevant tasks Support data ingestion, preprocessing, and feature engineering pipelines Run experiments, track results, and contribute to model evaluation and iteration Write clean, documented, and testable Python code as part of a collaborative engineering team Learn and grow alongside senior engineers, contributing meaningfully from day one QUALIFICATIONS Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline, plus 2-4 years of experience; or a Master's degree in one of these fields with no experience required. Proficiency in Python Foundational understanding of machine learning concepts including supervised learning, unsupervised learning, and model evaluation Exposure to ML frameworks such as PyTorch, TensorFlow, or JAX through coursework, research, or personal projects Strong mathematical fundamentals in linear algebra, statistics, and probability Eagerness to learn, take feedback, and grow in a fast-paced, mission-driven environment Passion for spaceflight and advancing capabilities related to space domain awareness and space security PREFERRED SKILLS AND EXPERIENCE Internship, research, or project experience applying ML to real-world or research datasets Familiarity with classification, regression, clustering, or anomaly detection techniques Experience with version control (Git) and basic software engineering practices Exposure to MLOps concepts such as experiment tracking or model versioning Coursework or project work in deep learning, computer vision, or time-series analysis COMPENSATION Base Salary: $125,000 - $220,000 Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. ADDITIONAL REQUIREMENTS Work Location — this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily. Work environment —the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job. Physical demands —the physical demands of the job, including bending, sitting, lifting and driving. This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
View more...Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground. OUR VALUES Be the offset. We create asymmetric advantages with creativity and ingenuity. What would it take? We challenge assumptions to deliver ambitious results. It’s the people. Our team is our competitive advantage and we are better together. BENEFITS & PERKS * Best-in-class healthcare: 100% company-paid medical, dental, and vision coverage for you and your dependents, with HSA/HRA options Generous time off: Flexible Time Off (FTO) for exempt employees, accrued PTO of up to 25 days for non-exempt employees, plus 12 paid holidays; Parental Leave; Sick Leave Fuel for your day: Daily catered lunch and unlimited snacks for in-office employees And more: 401(k) retirement plan, fitness reimbursement, and Dog Fridays Equity participation: Equity is included as part of our total compensation package, giving you an opportunity to share in the company’s success. *Do not apply to fixed term and temporary roles YOUR MISSION Embedded systems security for space operations poses unique challenges: remote systems that must operate in adversarial RF environments, resource- constrained hardware, and trade-offs between security and performance in real-time systems. As our Principal Embedded Systems Security Engineer, you'll own the security of our spacecraft, radio systems, and hardware platforms. You'll build security platforms and foundational services that enable our hardware and software teams to develop secure embedded systems by default. This role demands deep security expertise and the rigor that comes from engineering systems that cannot fail. As part of the Platform Security team, you'll work hands-on across C++ flight software, embedded C firmware within microcontrollers and radiation-hardened SoCs, FPGA designs, and real-time operating systems. Your work will impact the spacecraft's critical subsystems, from flight computer through command and control, RF, and payload. If you've secured systems where failure means loss of life or national security impact, you'll understand the constraints and rigor required here. This is a hands-on technical leadership role combining deep hardware security expertise with strong software engineering skills. You will write production code and build the tooling, test frameworks, and security validation platforms that harden our embedded systems at scale. You'll tackle novel security challenges that don't have an established playbook as we aim to set the standard for space-based security. In our AI-native environment, you'll use AI to accelerate your work and help solve the hard problems of embedded systems security. This position requires the ability to obtain and maintain a security clearance. Responsibilities Own the security architecture, threat modeling, and defensive controls for our spacecraft platform. This spans the flight computer, subsystem firmware, FPGA gateware, cryptographic implementations, and secure boot. Architect and build the security platforms, tooling, and foundational services that make secure-by-default the standard across flight software, firmware, and hardware configuration. Design and implement PKI for resource-constrained spacecraft, covering device authentication, firmware signing and verification, secure boot, lifecycle management, and secure key storage. Architect cryptographic and security implementations to meet stringent government standards, including FIPS 140-3, CNSA 2.0, and CCSDS Space Data Link Security (SDLS), and drive the migration to post-quantum cryptography across the platform. Secure the flight software build and deployment pipeline by hardening the tooling itself and protecting the supply-chain integrity of build outputs, dependencies, and third-party components. Secure our test environments against supply-chain attacks while keeping them representative of the flight security posture, so we can exercise on the ground the controls used to protect the spacecraft in orbit. Lead security assessments and penetration testing against our spacecraft, RF systems, and test environments. Drive the adoption of secure design practices across the organization, partnering with flight software, hardware, and test engineering teams to embed security into the full development and validation lifecycle. Tackle novel security challenges in space-based systems where established solutions don't exist, and stay ahead of emerging embedded and RF threats to proactively harden our systems. Use AI to move faster — accelerating development, analyzing security data, and closing technical knowledge gaps. Required Qualifications Active security clearance, or the ability to obtain and maintain one. Deep, hands-on expertise in embedded, hardware, and firmware security — including hardware attack surfaces, side-channel and fault-injection attacks, firmware security, secure boot, and hardware security modules (HSMs). Strong software development skills in C and C++, plus solid engineering fundamentals (data structures, algorithms, API design, and debugging production systems) and comfort working across multiple languages and at low levels (assembly, firmware). Proven track record of building production security platforms, tooling, and foundational services used by hardware and embedded engineering teams. Deep, expert-level PKI knowledge with hands-on experience designing and operating PKI for embedded and resource-constrained systems —certificate-based device authentication, firmware signing certificate chains, secure boot PKI hierarchies, certificate provisioning and rotation for constrained devices (where rotation isn't trivial, e.g., spacecraft in orbit), secure key storage, and HSM integration. Expert-level applied cryptography: implementing and reasoning about cryptographic systems to stringent government standards (FIPS 140-3, and familiarity with CNSA 2.0 and CCSDS SDLS), and experience with the practical challenges of post-quantum cryptography migration. Strong familiarity with common NIST publications (e.g., the 800-series). Experience applying security testing methodologies for hardware and firmware, and building the tooling and frameworks to automate that testing at scale across engineering teams. Demonstrated principal-level impact: setting security strategy and technical direction across an organization, independently identifying and prioritizing the risks that matter most, driving hardening initiatives end to end, raising the security bar and mentoring other engineers, thriving on ambiguous and novel problems, and influencing and aligning teams without direct authority. Preferred Qualifications Hands-on experience taking cryptographic modules through formal FIPS validation (CMVP), beyond implementing to the standard. Experience with real-time or safety-critical embedded systems — timing constraints, deterministic execution, interrupt handling, and the security implications of hard real-time requirements. Background in a regulated or high-assurance domain: aerospace, defense, avionics, medical devices, or industrial control systems. Hardware reverse engineering, firmware analysis, and cryptographic implementation experience. FPGA/VHDL security and RF/radio security. HIL/SIL test infrastructure and embedded Linux environments. Supply-chain security experience and a track record of hardening build pipelines for embedded/firmware systems. Cross-domain thinking that connects hardware security requirements to cloud infrastructure, network security, and system architecture. Evidence of practical, hands-on impact — published CVEs, security research or publications, conference talks, open-source contributions, or relevant projects Base Salary: $225,000-$330,000 Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience. ADDITIONAL REQUIREMENTS Work Location —this role will be onsite at our Denver, CO or Long Beach, CA offices. The expectation is a minimum of 3 days per week in the office. Work environment —the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job. Physical demands —the physical demands of the job, including bending, sitting, lifting and driving. This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
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