Careers at Freeformfuturecorp

SOFTWARE ENGINEER Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits. As a Software Engineer at Freeform, you will play a key role in developing and deploying the software systems that power our autonomous metal 3D printing factories. You’ll work with a talented engineering team from some of the world’s most innovative companies across a range of projects including controls, high-speed data acquisition, high-performance computing (GPU’s and FPGA’s), and geometry processing pipelines that enable precise and fully automated manufacturing at scale. Your work will directly impact the performance, reliability, and scalability of our factory systems. The ideal candidate thrives in ambiguity, takes initiative on complex technical problems, and works collaboratively across disciplines to deliver robust, high-performance software solutions. This is an opportunity to build foundational systems for a new category of manufacturing technology - where your code doesn’t just run, it drives physical innovation. 3D printing experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving hard problems and creating amazing technology! Responsibilities: Architect and develop software for an advanced, production-scale metal 3D printing factory Work with process, control, and mechanical engineers to integrate control algorithms into production software Improve and scale out high-rate data acquisition, storage, and retrieval systems Implement processes for converting customer part geometries into machine print instructions Basic Qualifications: Bachelor’s degree in computer science, computer engineering, electrical engineering, mathematics, or physics Proficiency in a systems level programming language such as C/C++ or Rust Experience with high-performance systems software such as hardware control software, embedded software, high-volume telemetry systems, graphics rendering, or similar Nice to Have: Experience interfacing with microcontrollers, FPGA, or GPU computing hardware Experience developing embedded or real-time software systems Experience writing software for industrial automation systems, rockets, spacecrafts, robotics, or related hardware that operates with the physical world Experience working in a Linux or RTOS environment Comfortable working in fast-paced, ambiguous environments and iterating quickly (comfortable building the plane as we fly it) Strong communicator who collaborates across disciplines and proactively seeks support when needed Willing to take ownership of tasks big and small, with a hands-on, problem-solving mindset Strong work ethic with a refuse-to-fail mindset Demonstrated indicators of excellence and/or achieving success against adversity (i.e. top academic performance, leadership in engineering clubs, first-generation college student, or other examples of resilience and achievement) Location: Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country. Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions. What We Offer: We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions. We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling world-changing technology. Benefits Significant stock option packages 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options) Life insurance Traditional and Roth 401(k) Relocation assistance provided Paid vacation, sick leave, and company holidays Generous Paid Parental Leave and extended transition back to work for the birthing parent Free daily catered lunch and dinner, and fully stocked kitchenette Casual dress, flexible work hours, and regular catered team building events Compensation Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role. In addition to the significant stock option package, the estimated salary range for this role is $115,000-$150,000 , dependent on the candidate's academic level (Bachelors, Masters, or PhD) and demonstrated out of classroom experience. Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

PRINCIPAL MACHINE LEARNING RESEARCHER (PHYSICAL AI) Freeform builds AI-native manufacturing systems that unify software, hardware, and physics to produce industrial-scale parts at the speed of human ideation. By treating manufacturing as a single integrated system, we unlock a new era of innovation where complex hardware is designed, built, and scaled without limits. This architecture enables continuous generation of petabyte-scale, high-fidelity data capturing the physics of metal printing - from in-situ process signals and machine state to geometry and material outcomes. Each factory node contributes to a growing learning system that improves modeling accuracy, control performance, yield, and scalability over time. Freeform is hiring a Principal Machine Learning Researcher to lead the development of advanced learning and control problems in a production-scale, AI-native metal manufacturing system. The role focuses on developing machine learning methods that integrate large-scale physical data with physics-based simulation and embedding these models into closed-loop control and autonomy frameworks. Work includes modeling relationships between process inputs, geometry, and machine state to predict thermal, mechanical, and geometric outcomes during printing, using hybrid physics–ML approaches and multi-modal in-situ data. Research is validated against physical outcomes and deployed into production systems, where improvements directly impact stability, yield, throughput, and capability across an expanding fleet of manufacturing nodes. Your work will have a direct and meaningful impact on how frontier technologies are designed and produced at scale. Responsibilities: Design and develop machine learning models for complex, multi-physics manufacturing processes. Develop hybrid modeling approaches that combine first-principles physics with data-driven learning. Lead the formulation of learning-based models used for prediction and control in production-scale metal additive manufacturing systems. Develop methods to learn from large-scale, high-dimensional in-situ sensor data collected during printing. Design unsupervised and self-supervised learning techniques to correlate process signals with part quality, geometry, and performance. Develop models that link process parameters, geometry, and machine state to thermal and mechanical outcomes. Integrate learned models with physics-based simulation and digital twin frameworks. Contribute to the design of closed-loop control and autonomy systems that operate in real time on production hardware. Develop learning-based approaches for machine health monitoring, anomaly detection, and system diagnostics. Guide the integration of machine learning models into production software and manufacturing workflows. Help define research direction and technical standards for machine learning applied to physical systems within the organization. Basic Qualifications: PhD in computer science, applied mathematics, physics, robotics, controls, or a closely related discipline. 5+ years of experience in machine learning, applied research, or related technical field. Strong foundations in machine learning applied to physical systems, modeling, or control. Proficiency in Python and at least one systems-level programming language (C/C++ preferred). Experience working with large-scale, noisy, real-world datasets. Nice to Have: 10+ years of industry experience Experience with hybrid physics–ML models, digital twins, or simulation-in-the-loop learning. Background in autonomy, robotics, model predictive control, optimal control, or reinforcement learning for physical systems. Experience with image-based or sensor-based inference in industrial or scientific settings. Familiarity with computational geometry or geometric modeling. Comfort working across theory, experimentation, and deployment in tightly coupled systems. Ability to reason from first principles and translate theory into working models and systems. Location: Based in Hawthorne, our vertically integrated facility brings technology development, R&D, and production together under one roof. We operate at the center of LA’s deep tech ecosystem, surrounded by some of the most ambitious hardware innovation happening anywhere in the country. Our fast-paced, cross-functional environment is built on close collaboration, and as such, this role requires full-time onsite presence (five days a week), with very limited exceptions. What We Offer: We have an inclusive and diverse culture that values collaboration, learning, and making deliberate data-driven decisions. We offer a unique opportunity to be an early and integral member of a rapidly growing company that is scaling a world-changing technology. Benefits Significant stock option packages 100% employer-paid Medical, Dental, and Vision insurance (premium PPO and HMO options) Life insurance Traditional and Roth 401(k) Relocation assistance provided Paid vacation, sick leave, and company holidays Generous Paid Parental Leave and extended transition back to work for the birthing parent Free daily catered lunch and dinner, and fully stocked kitchenette Casual dress, flexible work hours, and regular catered team building events Compensation As a growing company , the salary range is intentionally wide as we determine the most appropriate package for each individual taking into consideration years of experience, educational background, and unique skills and abilities as demonstrated throughout the interview process. Our intent is to offer a salary that is commensurate for the company’s current stage of development and allows the employee to grow and develop within a role. In addition to the significant stock option package, the estimated salary range for this role is $200,000-$500,000. However this is a uniquely impactful role and we are open to discussing compensation packages outside of this range for the right person. Freeform is an Equal Opportunity Employer that values diversity; employment with Freeform is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.