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Who we are Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We’re changing that. Atoms builds Physical AI— real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive. This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don’t just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale. We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life. If you want to work on hard problems with real-world impact, join us. About the role We are seeking an AI Engineer & Systems Architect who excels at building at the speed of thought. You embrace modern "vibe coding" (leveraging AI coding assistants to rapidly generate syntax and accelerate development) but your true value lies in your deep, foundational software engineering expertise. You do not blindly rely on Large Language Models (LLMs) to do the work; instead, you command them. You use your rigorous understanding of system architecture and code mechanics to orchestrate, debug, and weave together complex, deeply intertwined web applications. In this role, you will act as the master architect, using AI to amplify your output while ensuring the underlying infrastructure remains secure, scalable, and technically sound. What you’ll do Architect Complex Web Ecosystems: Design and build intricate, highly intertwined web applications, ensuring seamless communication across diverse microservices, frontend interfaces, and backend AI models. High-Velocity AI-Assisted Development: Utilize AI coding tools (e.g., Cursor, GitHub Copilot) to execute rapid "vibe coding" and prototyping, translating product vision into functional systems at unprecedented speeds. Rigorous Code Orchestration & Review: Act as the final gatekeeper for AI-generated code. Apply your deep foundational knowledge to review, refactor, and debug complex logic, ensuring all outputs meet strict production-grade standards. Build AI-Powered Features: Integrate external commercial APIs, self-hosted open-source models, and Retrieval-Augmented Generation (RAG) frameworks directly into complex web application workflows. Manage State and Data Flow: Engineer robust data pipelines and state management systems that can handle the unpredictable latency and complex data structures inherent in generative AI applications. What we’re looking for Advanced Systems Architecture: Deep understanding of modern web architectures (e.g., distributed systems, event-driven architecture, microservices) and how to untangle and manage deeply intertwined codebases. Software Engineering Fundamentals: A rock-solid foundation in data structures, algorithms, and design patterns. You must possess the ability to instantly read, comprehend, and correct complex code generated by AI. Full-Stack & Web Proficiency: Expert-level knowledge of modern full-stack web development (e.g., React, Next.js, Node.js, Python/FastAPI) and the intricacies of managing complex state, websockets, and API integrations. AI Tooling Mastery: Proven experience working alongside AI agents and coding assistants to multiply engineering output, coupled with a pragmatic understanding of their limitations and hallucination risks. Infrastructure & Deployment: Familiarity with cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), and modern CI/CD pipelines to deploy multi-tiered web applications. Who you are The Master Conductor: You view AI as an extension of your own capabilities. You are comfortable steering the "vibe" of a codebase at a high level while possessing the technical chops to dive deep into the weeds when the AI fails. Systems Thinker: You see the forest and the trees. When building one feature, you inherently understand its ripple effects across a complex, intertwined web architecture. Quality-Obsessed Builder: You understand that rapid development must not come at the cost of technical debt. You prioritize system reliability, scalability, and security, ensuring that AI-accelerated code is also resilient code. Why join us Growing market: You’ll be focused on an $80 billion market that’s projected to reach at least $500 billion by 2030 in the US alone. Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery. Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow, and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success. What else you need to know At Atoms, you’ll work on one of the defining challenges of our time—bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what’s known and building what doesn’t yet exist. The work is ambitious and often challenging, but it’s grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team—so we invest in both, creating an environment where you can do your best work and grow. Ready to join us as we serve those who serve others? #LI-Onsite

Who we are Pronto AI is a global leader in commercializing autonomous vehicle (AV) technology, deploying Autonomous Haulage Systems (AHS) that automate operations in mines, quarries, and construction sites worldwide. While much of the industry remains in R&D, we deliver real, production-ready autonomy that is already operating in the field. We are on a mission to make mining operations safer, smarter, and more efficient through cutting-edge technology, and we are building toward becoming the world’s first profitable AV technology company. What you’ll do Build the off-road truck safety case. Claims, evidence, limits, and what remains open. Keep it current as trucks, sites and software change, and be clear about what it does not cover. Hazard analysis. What the installation introduces on a given truck, what the site already carries, and what the combination creates. Drive the results into requirements and into site controls. Test preparation. Define what has to be demonstrated before a truck operates autonomously at a site: the procedures, the acceptance criteria, and what evidence each test actually produces. Commissioning readiness. Hold the gate between installed and operating. This is a real gate, and you are the person who helps specify when a site is not ready. Incidents and triage. Own the intake path, the severity model, the investigations, and corrective actions through to verified closure. Change assessment. Decide what a software release, a new truck variant or a new site layout does to the argument, and what has to happen before it goes live. Grow and lead a small team. You will hire one or two engineers as the work justifies them, and lead them. This is not a management role in the usual sense: the safety case, the commissioning gate and the investigations that matter stay with you, while your team takes the recurring load. If you are looking for a path to a large org, this is not that job yet. We expect this role to be materially more productive than the same role was three years ago, and we expect AI tooling to be the reason. A small team covers a surface that would otherwise need several, and the tooling is how that becomes possible rather than a fiction. Use it as a working instrument: drafting and maintaining site risk assessments from a common baseline, adapting procedures per site, triaging an event backlog, and finding patterns across sites that nobody reading one site's reports would see. Build your own tooling rather than filing tickets for it, and keep it running once other people depend on it. Be rigorous about the boundary. A generated hazard list is a hypothesis to verify, never a risk assessment. Safety determinations need a human who has looked at the evidence and walked the site. What we’re looking for 8+ years in systems safety, safety engineering or a closely related systems discipline in a safety-critical domain. Mining experience is not required. You have built a safety argument from scratch — claims, evidence, structure — and defended its sufficiency to someone who pushed back. Structured hazard analysis depth at both the system and the operational level, and the judgment to pick the method the situation actually warrants. You have written the process rather than inherited one: investigation, triage, qualification, or their equivalents. Tell us who ran it after you wrote it and what broke. Comfortable leading one or two people while still being the person who writes the safety case rather than reviewing it. Python or SQL sufficient to work event data yourself rather than waiting for an analyst. Willingness to travel to sites when needed. Nice to have Off-road, heavy vehicle or industrial machinery experience — mining, quarrying and aggregates, construction, ports or agriculture. Working knowledge of US mine safety regulation, including MSHA Part 46 and 48 training requirements and Part 50 reporting. Experience commissioning autonomous or remotely operated equipment on a customer's site. Experience adapting an existing safety method into a new domain rather than starting over. Experience building a small team from a standing start. Why join us Work on real, production-deployed autonomy. Build technology that directly improves safety, efficiency, and productivity. Tackle complex challenges in demanding, real-world environments. Be part of a fast-moving team with high ownership and impact. See your work deployed and making a difference in the field. Collaborate closely with experienced engineers and industry operators. What else you need to know This role is based in our San Francisco office location. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week. The base salary range for this role is $195,000 - $240,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards. Benefits Summary (USA Full-Time Exempt Employees): Medical, Dental, Vision, Disability, and Life Insurance Flexible Spending Account / Health Savings Account Options 401(k) Equity Sick Time, Unlimited Flexible Time Off, and Paid Holidays Paid Parental Leave Pre-Tax Commuter Benefit Plan Team lunch in our SoMa office every Tuesday and Thursday Benefits are subject to change at the company's discretion. Pronto accepts applications on an ongoing basis. Ready to join us as we serve those who serve others? #LI-Onsite

Who we are Lab37 Robotics , is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients. About the Role Build the quality practices and systems that help connect kitchen teams, cloud services, and robotic production systems. As a Senior Software Quality Engineer, you will own test strategy, release validation, automation, and early issue triage across complex software and operational workflows. You will work across frontend applications, backend services, cloud infrastructure, integrations, and robot-adjacent interfaces. You will partner closely with product, culinary, operations, robotics, firmware, and mechanical teams to understand how the system is expected to behave, identify meaningful risks, and turn ambiguous operational requirements into practical test plans and reliable validation processes. We are looking for someone who is deeply hands-on, enjoys investigating complex problems, and takes ownership from planning through release and production support. You’ll collaborate with experienced engineers across disciplines while helping raise the quality, reliability, testability, and maintainability of our software. What you’ll do Create and execute test strategies for complex product capabilities spanning user interfaces, backend services, cloud infrastructure, external integrations, and robot-adjacent systems. Develop detailed test plans based on product requirements, technical designs, operational workflows, system dependencies, and potential failure modes. Own and coordinate release checkout, including defining readiness criteria, validating critical workflows, documenting results, identifying blockers, and supporting go or no-go decisions. Build and maintain automated tests for APIs, backend services, web applications, integrations, and end-to-end operational workflows. Partner directly with product, culinary, and operations teams to understand real-world workflows, clarify requirements, and identify risks before release. Test software for configuring, observing, and managing kitchen operations, including order intake, menus, recipes, tasks, alerts, and performance visibility. Validate integrations with delivery and commerce platforms, including order intake, menu synchronization, order-state communication, retries, duplicate events, and partial failures. Test operator-facing and robot-adjacent interfaces used in physical production environments. Work alongside firmware and robotics engineers to validate cohesive system behavior across software and hardware boundaries. Help improve system testability by contributing to simulation environments, mocked services, test data, diagnostic tooling, and repeatable test environments. Perform exploratory, functional, integration, regression, system, and end-to-end testing. Own quality activities through rollout and production support, including validation, observability, issue reproduction, early triage, and iterative improvement. Participate in an on-call or support rotation focused on early issue investigation, evidence collection, initial classification, and routing to the appropriate engineering team. Work with engineers to improve logs, metrics, alerts, dashboards, and other diagnostic capabilities needed to validate and troubleshoot important workflows. Participate in design reviews, release reviews, incident reviews, and technical discussions to identify quality risks and improve software reliability. Share knowledge with teammates and contribute to engineering and quality best practices. What we are looking for 7+ years of software quality, test engineering, or related experience, including ownership of complex test strategies or quality initiatives across multiple components. Deep experience creating and executing test plans for production software. Strong experience with test automation using one or more programming languages. Experience testing APIs, backend services, web applications, databases, integrations, and asynchronous or event-driven workflows. Experience owning or coordinating release validation, release checkout, or production-readiness activities. Strong debugging and investigation skills, including the ability to narrow ambiguous issues across multiple systems. Experience working with CI/CD systems and integrating automated tests into build and deployment pipelines. Strong judgment about where automation provides leverage and where focused manual or exploratory testing is more effective. Deep experience improving software quality, reliability, and testability. Strong product judgment and the ability to translate real operational workflows into practical validation strategies. Clear written and verbal communication, including test plans, release checklists, quality reports, operational playbooks, and cross-functional alignment. Comfort working across boundaries and collaborating with both technical and non-technical partners. Enjoy collaborating with teammates and sharing technical knowledge. Nice to have Experience with browser automation frameworks such as Playwright, Cypress, Selenium, or similar tools. Experience with API and service testing using Python, TypeScript, Go, Java, C#, or similar languages. Docker, Kubernetes, Protobuf, Terraform, Git, and continuous delivery systems. Simulation environments, mocked or simulated backend services, hardware-in-the-loop testing, and integration testing. SQL, analytics platforms, operational dashboards, or data-intensive product development. Software that interacts with hardware, robotics, IoT, logistics, manufacturing, fulfillment, or other physical operations. Experience validating systems that must handle intermittent connectivity, dependency failures, retries, partial completion, or delayed events. Experience with observability and monitoring tools such as Sentry, Grafana, Prometheus, CloudWatch, or similar platforms. Building internal tools or operational software used in high-availability, real-time environments. Experience participating in incident response, production support, or on-call rotations. What makes this opportunity different High ownership: Own meaningful quality, release, and test automation areas rather than executing a narrow set of test cases. Real-world impact: Your work directly affects physical production, daily kitchen operations, and the reliability of systems used by operators and customers. Technical growth: Work on challenging distributed systems, robotics-adjacent software, test automation, simulation, and operational tooling while learning from experienced engineers across multiple disciplines. Cross-disciplinary work: Collaborate with software, robotics, firmware, hardware, culinary, operations, and product teams. Why join us Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030. Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery. Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success. What else you need to know This role is based in our Los Angeles office. As a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That’s why all of our office-based teams work onsite, five days a week. The base salary range for this role is $180,000 - $230,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others? #LI-Onsite

Who we are Lab37 Robotics , is a technology company focused on the development and deployment of robots designed specifically for direct-to-customer food production. Our mission is to revolutionize the food industry by creating innovative robotic solutions that enhance efficiency, quality, and customer satisfaction. We are passionate about pushing the boundaries of technology to deliver cutting-edge products that meet the evolving needs of our clients. What you'll do Take on ownership of the cloud platform infra layer that powers Lab37's robotics fleet. This spans building Cloud infra, ML, ETL, CI/CD pipelines that turn raw robot telemetry into actionable analytics, managing data discovery, data lineage and contributing to models training pipelines on our robots, and ensuring the observability and reliability of the entire data stack. Work with a small, high-impact platform team to build the systems that every product team at Lab37 consumes — from data scientists training models, to kitchen operations teams viewing dashboards, to engineers deploying new ML models to robots in the field. Responsibilities Design, build, and maintain scalable ML infrastructure that abstracts away underlying storage, pipeline management, and repetitive environment setup tasks. Implement robust systems for automated model checkpointing, persistent metadata management, and experiment tracking across distributed training runs. Create self-service ML workflows and tooling that empower ML engineers and data scientists to focus on core logic, model architecture, and validation. Build and maintain automated ETL and data ingestion pipelines that stream and transform raw robot telemetry into clean datasets for training and analytics. Contribute to infrastructure-as-code (Terraform) and CI/CD automation for model deployment, data processing, and cloud services. Partner with cloud and embedded engineers to streamline model deployment to fleets of robots in the field and participate in on-call rotations for platform reliability. Monitoring & Cost: Track model drift, system throughput, and optimize cloud compute costs. What we're looking for 3+ years of experience in Cloud infrastructure, MLOps, and data engineering at scale. Hands-on experience designing systems for automated model checkpointing, model registries, and metadata management (e.g., MLflow, Kubeflow etc). Strong experience with ML & Cloud workflow orchestration tools (SageMaker, K8, Argo Workflows, Bedrock) and cloud storage architectures. Proven track record building self-service ML platforms, pipeline abstraction layers, or automated developer workflows. Experience with working with embedded engineers. Why join us Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030. Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery. Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success. What else you need to know This role is based in our Pittsburgh office. As a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That’s why all of our office-based teams work onsite, five days a week. The base salary range for this role is $140,000 - $174,500 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, dental, and vision insurance (multiple plans, incl. HSA options). Company-paid life and disability insurance (short- and long-term). Voluntary insurance: accident, critical illness, hospital indemnity. Optional supplemental life insurance for self, spouse, and children. Pet insurance discount. 401(k). Health Savings Account (HSA) Flexible Spending Accounts (Healthcare, Dependent Care, Commuter) Time Off policies: Discretionary vacation days 8 paid holidays per year Paid sick time Paid Bereavement leave Paid Parental Leave Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others? #LI-Onsite

Who we are Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We’re changing that. Atoms builds Physical AI— real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive. This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don’t just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale. We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life. If you want to work on hard problems with real-world impact, join us. About the role We are seeking a Senior Systems Engineer to own the system requirements and interface control documents for our autonomous vehicle and truck platforms. In this role, you will take a platform from platform-level requirements, to decomposed and allocated subsystem requirements, to a verification plan with results confirmed against each requirement, working out how the autonomy kit's sensing, compute, networks, and power meet the vehicle or machine it is installed on. You will do this across OEM vehicle platforms and off-highway trucks, and you'll build the requirements and interface documentation that each new platform variant is specified and verified against. What you’ll do System requirements. Write and maintain system and subsystem requirements for the vehicle and truck platforms you own, including decomposition from platform-level requirements, allocation to sensing, compute, vehicle networks, power, actuation, and autonomy software, and traceability to verification. Interface control documents. Build and maintain the interface control documents between the autonomy kit and each vehicle or truck platform, and between the subsystems within the kit, covering signals, networks, power, timing, mounting, and data. Run the review and change process for the interfaces you own. Requirements management and traceability. Run the requirements management toolchain: structure, attributes, baselines, change tracking, and traceability from requirement to design to verification evidence. Verification planning. Write the verification plan for the requirements you own, including method, test environment across analysis, bench, simulation, closed course, and on-vehicle test, acceptance criteria, and evidence. Work with test teams on execution and confirm results against requirements. New platform variants. Produce the requirements deltas and interface control documents for each new vehicle or truck platform and each new sensor or compute generation, and keep the requirements that are common across platforms common. Integration, test, and field feedback. Support integration and bring-up on the vehicle or machine. Classify failures found in integration, test, or the field as requirement, interface, or implementation defects, and feed the changes back into the requirements and interfaces. Documentation. Write the requirements and interface documentation that engineers, technicians, and partner teams work from. Cross-functional work. Work with vehicle integration and hardware engineering on physical and electrical interfaces, with autonomy and robotics on software interfaces and data, with functional safety on the safety requirements allocated to the platform, and with bench and hardware-in-the-loop engineering on verification environments. What we’re looking for Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Robotics, Systems Engineering, or a related field with 5+ years of systems engineering experience. Experience authoring system requirements for a vehicle, robotics, or comparable hardware and software system, including decomposition to subsystems, allocation, and traceability to verification. Experience writing and maintaining interface control documents, or equivalent interface specifications, between hardware and software subsystems. Working experience with a requirements management tool such as Jama, DOORS, or Polarion, including configuring its structure, attributes, and traceability. Experience writing verification plans and acceptance criteria and confirming test results against requirements. Working knowledge of vehicle networks and interfaces, including CAN, and CAN FD, and Automotive Ethernet, and of sensor and compute interfaces and time synchronization. Experience on an autonomous vehicle or robotics platform. Experience handling autonomous driving or robotics sensor data across multiple modalities and timestamps, including camera, LiDAR, and radar. Proficiency in Python for data analysis, test automation, and tooling, and the ability to read C++. Experience working where the requirements and the platform were still changing. Strong written practice covering system requirements, interface specifications, and verification reports, including the limits of a result. Ability to work onsite five days a week in San Francisco. Why join us At Atoms, you’ll work on one of the defining challenges of our time—bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what’s known and building what doesn’t yet exist. The work is ambitious and often challenging, but it’s grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team—so we invest in both, creating an environment where you can do your best work and grow. What else you need to know This role is based in our San Francisco office location. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week. The base salary range for this role is $176,000 - $241,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards. Benefits Summary (USA Full-Time Exempt Employees): Medical, Dental, Vision, Disability, and Life Insurance Flexible Spending Account / Health Savings Account Options 401(k) Equity Sick Time, Unlimited Flexible Time Off, and Paid Holidays Paid Parental Leave Pre-Tax Commuter Benefit Plan Team lunch in our SoMa office every Tuesday and Thursday Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others? #LI-Onsite

Who we are Pronto AI is a global leader in commercializing autonomous vehicle (AV) technology, deploying Autonomous Haulage Systems (AHS) that automate operations in mines, quarries, and construction sites worldwide. While much of the industry remains in R&D, we deliver real, production-ready autonomy that is already operating in the field. We are on a mission to make mining operations safer, smarter, and more efficient through cutting-edge technology, and we are building toward becoming the world's first profitable AV technology company. We are now expanding into Europe, and our Madrid office will be home to the founding team that builds and supports Pronto's operations across the region. What you'll do Support and maintain autonomous trucks in production, ensuring continuous, efficient operation across Pronto's global sites. Diagnose and debug Linux-based systems, identifying and resolving issues across firmware, software, and embedded systems. Work directly with customers and on-site teams to address operational needs and keep technical execution aligned. Support the installation and integration of hardware at new sites as we deploy and expand our fleets in Europe and beyond. Build debugging and monitoring tools that improve technical support and failure analysis. Develop software for autonomous systems in collaboration with international engineering teams. Work across robotics domains such as localization, controls, path planning, safety systems, sensor fusion, hardware integration (custom or third-party), camera pipelines, and/or machine learning. Help shape the processes, tooling, and culture of Pronto's first European team. What we're looking for 2+ years of experience in software, hardware, and/or robotics development (academic research and internships count). Advanced knowledge of Linux systems. Hands-on experience debugging embedded systems. Comfort with remote connections (SSH) and command-line tools. Programming skills in Python or C/C++ for code analysis and bug fixing. Fluent English , as you'll work daily with global teams and read and write technical documentation. Why join us Work on real, production-deployed autonomy. Build technology that directly improves safety, efficiency, and productivity. Tackle complex challenges in demanding, real-world environments. Be part of a fast-moving team with high ownership and impact. See your work deployed and making a difference in the field. Collaborate closely with experienced engineers and industry operators. Join as part of the founding team of Pronto in Europe. What else you need to know This role is based in our Madrid office. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week. This role supports 24/7 operations through rotating shifts shared across international time zones, including weekends and public holidays. Ready to join us as we serve those who serve others? #LI-Onsite

Who we are Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We’re changing that. Atoms builds Physical AI— real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive. This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don’t just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale. We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life. If you want to work on hard problems with real-world impact, join us. About the role As a Senior Staff Machine Learning Engineer focused on Perception, you will be one of the foundational technical leaders of Atoms' AI organization. You will help define how our machines transform raw sensor data into rich representations of the physical world. You'll work across camera, LiDAR, radar, audio, and other sensor modalities to build perception systems capable of operating in complex, dynamic real-world environments. This is not simply a role focused on improving an existing perception stack. You will have the opportunity to help determine what that stack should become. You will work closely with AI research, robotics, autonomy, and engineering leaders to develop perception architectures that connect traditional perception capabilities with emerging approaches in world models and foundation models for physical AI. This is a deeply technical individual contributor role with significant influence over Atoms' technical direction. What you'll do Define and help build the technical architecture for Atoms' next-generation perception systems. Develop machine learning systems that transform multimodal sensor inputs—including camera, LiDAR, radar, audio, and other signals—into useful representations of the physical environment. Advance approaches to multi-sensor and multimodal fusion across complex real-world operating environments. Design and develop deep learning architectures for problems such as detection, segmentation, tracking, classification, scene understanding, and 3D perception. Explore how modern foundation models and world models can complement or replace components of traditional perception pipelines. Build perception systems designed to serve downstream reasoning, planning, and action models. Make architectural decisions spanning data, model design, training, evaluation, inference, and deployment. Develop systems that balance model quality with the latency, efficiency, reliability, and compute constraints required for real-world machines. Establish evaluation methodologies and metrics that accurately measure perception performance in the environments where our systems operate. Partner closely with researchers and engineers working across world models, action models, robotics, autonomy, and ML infrastructure. Provide technical leadership across the organization through architecture reviews, mentorship, technical direction, and hands-on engineering. Help establish the technical bar for the growing perception organization and participate in identifying and assessing exceptional engineering and research talent. What we're looking for Deep expertise in machine learning and computer vision, with substantial experience building sophisticated perception systems. Strong understanding of modern deep learning architectures and their application to visual and multimodal perception. Experience working with one or more real-world sensor modalities such as cameras, LiDAR, radar, audio, depth sensors, or related systems. Experience with sensor fusion, multimodal learning, 3D perception, scene understanding, or related areas. Strong understanding of the full ML lifecycle, including data strategy, training, model architecture, evaluation, optimization, and deployment. Experience designing ML systems that operate under real-world latency, compute, reliability, and safety constraints. Strong software engineering fundamentals and the ability to remain deeply hands-on in Python and/or C++. Demonstrated ability to make consequential technical and architectural decisions in ambiguous problem spaces. A track record of technical leadership and influencing engineering direction beyond your immediate projects or team. Ability to communicate complex technical ideas clearly and collaborate across research and engineering disciplines. Why join us At Atoms, you’ll work on one of the defining challenges of our time—bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what’s known and building what doesn’t yet exist. The work is ambitious and often challenging, but it’s grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team—so we invest in both, creating an environment where you can do your best work and grow. What else you need to know This role is based in our San Francisco office. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That’s why all of our office-based teams work onsite, five days a week. The base salary range for this role is $275,000 - $321,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards. Benefits Summary (USA Full-Time Exempt Employees): Medical, Dental, Vision, Disability, and Life Insurance Flexible Spending Account / Health Savings Account Options 401(k) Equity Sick Time, Unlimited Flexible Time Off, and Paid Holidays Paid Parental Leave Pre-Tax Commuter Benefit Plan Team lunch in our SoMa office every Tuesday and Thursday Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others? #LI-Onsite

Who we are Atoms is building the machines that power the next era of progress. Over the last decade, software has transformed the digital world. But the physical world, where food is made, minerals are mined, goods are moved, and industries are run, remains far less intelligent, far less efficient, and far more constrained. We’re changing that. Atoms builds Physical AI— real-world robots for the industries that move civilization forward, starting with food, mining, and transport. Our systems are designed to understand, predict, and control the real world with precision, turning complex physical operations into something more reliable, more scalable, and more productive. This work requires more than robotics. It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate. We don’t just build machines in a lab. We deploy them into real environments, operate them, learn from them, and improve them until they work at scale. We are roboticists, engineers, operators, and builders. We believe the next great technology companies will not only transform information, but the physical systems that shape everyday life. If you want to work on hard problems with real-world impact, join us. About the role As a Senior Staff Machine Learning Engineer focused on World Models, you will be one of the foundational technical leaders of Atoms' AI organization. You will help develop models that learn rich representations of the physical world from large scale multimodal data enabling machines to understand environments, model how those environments evolve, and provide the learned representations needed for downstream reasoning and action. This is an opportunity to help define a new generation of physical AI systems. Rather than relying exclusively on traditional, independently engineered perception and autonomy components, we are exploring foundation model approaches capable of learning from diverse sensor inputs and large amounts of real world experience. You will work at the intersection of foundation models, multimodal learning, computer vision, robotics, and embodied AI to help determine what these systems should look like at Atoms. This is a deeply technical individual contributor role with significant influence over our research direction and long term AI architecture. What you'll do Define and help build Atoms' technical architecture for world models and foundation models for physical AI. Develop large scale models that learn representations of complex, dynamic physical environments. Build models capable of learning from multimodal inputs including video, images, spatial information, sensor data, robot state, and other realworld signals. Explore architectures that capture spatial, temporal, semantic, and physical relationships within realworld environments. Develop approaches for learning how environments evolve over time and how actions influence future states. Research and build self supervised, generative, predictive, and representation earning approaches for physical world intelligence. Explore the application of modern foundation model architectures to robotics and autonomous systems. Develop training strategies that take advantage of largescale realworld and simulated datasets. Make architectural decisions spanning data, model design, pretraining, finetuning, evaluation, inference, and deployment. Establish evaluation methodologies for measuring a model's ability to understand, represent, and predict the physical world. Partner closely with engineers and researchers working across perception, action models, robotics, autonomy, simulation, and ML infrastructure. Translate emerging research into systems capable of operating on real machines in real environments. Provide technical leadership through research direction, architecture reviews, mentorship, experimentation, and handson engineering. Help establish the technical bar for the growing AI Research organization and participate in identifying and assessing exceptional engineering and research talent. What we're looking for Deep expertise in machine learning with experience developing large-scale deep learning or foundation model systems. Strong understanding of modern model architectures and representation learning. Experience with one or more areas such as multimodal learning, video models, generative models, self-supervised learning, predictive models, spatial intelligence, or embodied AI. Experience training models on large-scale datasets and understanding the relationship between data, architecture, compute, and model performance. Strong understanding of the full ML lifecycle, including data strategy, model architecture, training, evaluation, optimization, and inference. Experience translating research ideas into functioning machine learning systems. Strong software engineering fundamentals and the ability to remain deeply handson in Python and modern ML frameworks. Demonstrated ability to operate in ambiguous research spaces where the architecture and solution may not yet be known. A track record of making consequential technical decisions and influencing research or engineering direction beyond an individual project. Ability to communicate complex research and technical ideas clearly and collaborate across research, engineering, and robotics disciplines. Why join us At Atoms, you’ll work on one of the defining challenges of our time—bringing automation into the physical world to drive real, lasting impact. We exist to uncover valuable unknown truths and turn them into progress, which means constantly pushing beyond what’s known and building what doesn’t yet exist. The work is ambitious and often challenging, but it’s grounded in a shared sense of purpose and a team committed to seeing it through together. Our work only matters if it serves others, and we know that meaningful progress depends on the trust of the people we serve and the strength of our team—so we invest in both, creating an environment where you can do your best work and grow. What else you need to know This role is based in our San Francisco office. Atoms is a company driven by invention and continuous change - we are constantly reimagining our industries, building new products, and refining how we operate. We do our best work together. That’s why all of our office-based teams work onsite, five days a week. The base salary range for this role is $273,000 - $321,000 per year. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards. Benefits Summary (USA Full-Time Exempt Employees): Medical, Dental, Vision, Disability, and Life Insurance Flexible Spending Account / Health Savings Account Options 401(k) Equity Sick Time, Unlimited Flexible Time Off, and Paid Holidays Paid Parental Leave Pre-Tax Commuter Benefit Plan Team lunch in our SoMa office every Tuesday and Thursday Benefits are subject to change at the company's discretion. Atoms accepts applications on an ongoing basis. Ready to join us as we serve those who serve others? #LI-Onsite