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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 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

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 Action Models, you will be one of the foundational technical leaders of Atoms' AI organization. You will help develop models that enable intelligent machines to reason about their environment, make decisions, and translate those decisions into actions in the physical world. This role sits at the intersection of machine learning, robotics, autonomous systems, planning, and embodied AI. You will explore how modern foundation models, world models, and learned representations can be connected to action moving beyond systems built entirely from independently engineered components toward models capable of learning increasingly sophisticated behaviors from data and experience. The problems are open-ended, the architecture is still being defined, and the systems you build will ultimately need to work outside of a research environment on real machines operating in complex physical environments. This is a deeply technical individual contributor role with significant influence over Atoms' research direction and long-term AI architecture. What you'll do Define and help build Atoms' technical architecture for action models and learned decision-making systems. Develop models that translate learned representations of the physical world into decisions, plans, and actions. Explore architectures for reasoning, planning, control, and action generation within complex physical environments. Develop learned policies and action heads capable of operating across real-world robotics and autonomous systems. Explore approaches that connect perception and world models directly to downstream decision-making and control. Research and develop techniques across imitation learning, reinforcement learning, behavior learning, and other data-driven approaches to decision-making. Explore vision-language-action and other multimodal architectures for physical AI. Develop approaches that allow models to reason across temporal horizons and understand how actions influence future states. Train and evaluate models using large-scale real-world, simulated, and synthetic data. Develop methods for learning from demonstrations, human behavior, robot experience, and other sources of supervision. Make architectural decisions spanning data, model design, training, evaluation, inference, and deployment. Establish evaluation methodologies for measuring reasoning, planning, action quality, robustness, and generalization. Partner closely with researchers and engineers working across perception, world models, robotics, autonomy, simulation, and ML infrastructure. Translate emerging research in embodied intelligence into systems capable of operating reliably on real machines. Provide technical leadership through research direction, architecture reviews, mentorship, experimentation, and hands-on 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 models for decision-making, robotics, autonomous systems, or embodied intelligence. Strong understanding of modern deep learning architectures and their application to sequential decision-making and physical systems. Experience with one or more areas such as reinforcement learning, imitation learning, behavior learning, planning, control, robot learning, or embodied AI. Experience developing systems that connect learned representations or perception to downstream actions. Strong understanding of sequential and temporal modeling and the relationship between actions and future states. Experience training and evaluating models using large-scale real-world, simulated, or synthetic datasets. 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 hands-on in Python and/or C++. 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

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. AI Researcher (World Models & VLA) What you’ll do A visionary Machine Learning Engineer to join our founding team who will help bridge the gap between high-level AI research and real-world physical actuation for our next-generation autonomous transport platforms. We are actively hiring across three core specialized subcategories: AI Research, Post-Training Optimization, and Data Engineering. Research and develop cutting edge RL and distillation techniques for trajectory planning Integrate emerging research from the broader AI community, identifying and prototyping the most promising solutions Design and deploy end-to-end multimodal models that translate real-time visual perception and high-level behavioral goals into physical vehicle actuation Develop interactive world models from raw multi-sensor logs, allowing the team to re-simulate events and query what a vehicle would see if it altered its trajectory Ensure core autonomous driving models can seamlessly adapt to novel urban environments and edge cases Partner with validation and QA teams to run model releases through rigorous simulated scenarios, detecting regressions and identifying systemic performance bottlenecks. What we’re looking for 4+ years of non-internship professional MLE experience. Deep expertise in applying AI Transformers to robotics, physical actuation, or spatial-temporal data. Proven track record designing or training multimodal systems, large-scale VLA models, or generative Diffusion models. Strong background in Sensor Fusion, combining inputs from Cameras, LiDAR, and Radar. Fluency in PyTorch or JAX for training large-scale models. Experience with multi-task learning, Birds-Eye-View (BEV) frameworks, representation learning, or data tokenization is highly preferred. Proficiency in Python and familiarity with C++. Post-Training & Optimization What you’ll do Own the post-training lifecycle by distilling, quantizing, and optimizing massive models to run with low latency on vehicle edge hardware. Profile real-time inference pipelines to identify and eliminate CPU, GPU, and memory bandwidth bottlenecks on the vehicle. Work with low-level hardware, electrical, and firmware teams to iterate on custom carrier boards, sensor interfaces, and GPUs on edge devices. Benchmark and deploy models utilizing hardware-accelerated runtimes (e.g., TensorRT, CUDA) to minimize inference times under strict constraints. What we’re looking for 4+ years of non-internship professional MLE experience. Strong background in machine learning engineering with a focus on model optimization, distillation, and deployment. Hands-on experience optimizing models for edge deployment or custom embedded GPU targets. Deep understanding of profiling tools and debugging resource constraints across CPU/GPU boundaries. Experience with modern deep learning frameworks (PyTorch or JAX) and runtime compilation. Robust programming skills in Python and C++. Familiarity with low-level camera/sensor interfaces and robotics hardware is a significant plus. Data & Long-Tail Scenarios What you’ll do Architect automated pipelines to ingest, filter, and identify rare, high-value, and long-tail scenarios out of multi-petabyte multi-sensor datasets. Target and extract complex structural corner cases from real-world driving logs to continuously feed, challenge, and improve our end-to-end behavior models. Iterate closely with QA, testing, and simulation teams to transform ambiguous real-world anomalies into concrete data blocks for simulation testing. Implement programmatic data curation, active learning strategies, and statistical quality metrics to optimize the signal-to-noise ratio of our training pipelines. What we’re looking for 4+ years of non-internship professional MLE experience. Professional experience building data curation pipelines, active learning workflows, or data mining architectures for massive physical datasets. Strong familiarity with robotics data structures and spatial frameworks, including Birds-Eye-View (BEV) or spatial tokenization. Experience processing and structuring raw data from Cameras, LiDAR, and Radar. Expert-level proficiency in Python, data engineering frameworks, and PyTorch/JAX. Exceptional ability to navigate, structure, and derive signal from highly ambiguous, messy, or undefined real-world data distributions. 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 $208,000 - $263,500 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. What you’ll do We are seeking a foundational Developer Experience Engineer to build scalable developer infrastructure powering our autonomous transport initiative. In this role, you will be the first dedicated engineer optimizing developer workflows across our large-scale C++, Python, Go, Rust and embedded firmware codebases. You will eliminate build friction, prevent dependency hell, and architect secure Over-The-Air (OTA) update mechanisms to safely deploy software to our edge vehicle fleet. By empowering our robotics, ML, and software teams with high-speed, reliable tooling, you will directly accelerate the delivery of safe, on-road autonomous transportation. While you may not work on every single aspect of it, the team will own the following scope: CI/CD Infrastructure: Own the build pipelines for Transport's repos: large, multi-language (C++, Python, firmware). Make them fast enough that engineers stop context-switching while they wait. Build System Optimization: Cut build times and make builds reproducible. Bazel or similar; you'll own the build graph, caching, and dependency management. Firmware & Embedded Integration: Automate building and testing embedded firmware and the vehicle OS (e.g., Balena). Over-The-Air (OTA) Deployment: Design and build over-the-air updates for vehicles in the field: staged rollouts, redundancy, and rollback that always works. Repository Architecture: Decide how code is organized (monorepo vs. multi-repo), how artifacts are versioned and stored, and how dependencies are tracked, in a way that still holds up when the team is many times bigger. Hardware-in-the-Loop (HIL) Automation: Wire HIL rigs and simulation into release validation so regressions are caught before code ever reaches a vehicle. Developer Observability & Tooling: Track build health, test flakiness, and time-to-deploy. Instill a data-informed culture, so the numbers are visible and the problems actually get fixed. What we’re looking for 8+ years of professional experience in Developer Experience, Build Engineering, or Infrastructure, specifically supporting large-scale engineering organizations. Strong programming proficiency in Python, C++, Go, or similar, with deep knowledge of modern build systems and package managers (e.g., Bazel, CMake, UV). Hands-on experience scaling CI/CD systems, monorepo architectures, and automated testing pipelines for complex codebases. Familiarity with embedded systems, firmware builds, or containerized IoT operating systems (such as Balena Linux or Yocto). Foundational understanding of designing secure, fail-safe Over-The-Air (OTA) deployment pipelines for edge hardware or robotics. Proven ability to reduce build/test cycle times, eliminate flaky tests, and untangle complex dependency graphs. Exceptional communication skills and a passion for acting as an empathetic force multiplier for cross-functional software, hardware, and robotics teams. 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 $224,000 - $275,000 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. AI Researcher (World Models & VLA) What you’ll do A visionary Machine Learning Engineer to join our founding team who will help bridge the gap between high-level AI research and real-world physical actuation for our next-generation autonomous transport platforms. We are actively hiring across three core specialized subcategories: AI Research, Post-Training Optimization, and Data Engineering. Research and develop cutting edge RL and distillation techniques for trajectory planning Integrate emerging research from the broader AI community, identifying and prototyping the most promising solutions Design and deploy end-to-end multimodal models that translate real-time visual perception and high-level behavioral goals into physical vehicle actuation Develop interactive world models from raw multi-sensor logs, allowing the team to re-simulate events and query what a vehicle would see if it altered its trajectory Ensure core autonomous driving models can seamlessly adapt to novel urban environments and edge cases Partner with validation and QA teams to run model releases through rigorous simulated scenarios, detecting regressions and identifying systemic performance bottlenecks. What we’re looking for 10+ years of non-internship professional MLE experience. Deep expertise in applying AI Transformers to robotics, physical actuation, or spatial-temporal data. Proven track record designing or training multimodal systems, large-scale VLA models, or generative Diffusion models. Strong background in Sensor Fusion, combining inputs from Cameras, LiDAR, and Radar. Fluency in PyTorch or JAX for training large-scale models. Experience with multi-task learning, Birds-Eye-View (BEV) frameworks, representation learning, or data tokenization is highly preferred. Proficiency in Python and familiarity with C++. Post-Training & Optimization What you’ll do Own the post-training lifecycle by distilling, quantizing, and optimizing massive models to run with low latency on vehicle edge hardware. Profile real-time inference pipelines to identify and eliminate CPU, GPU, and memory bandwidth bottlenecks on the vehicle. Work with low-level hardware, electrical, and firmware teams to iterate on custom carrier boards, sensor interfaces, and GPUs on edge devices. Benchmark and deploy models utilizing hardware-accelerated runtimes (e.g., TensorRT, CUDA) to minimize inference times under strict constraints. What we’re looking for 10+ years of non-internship professional MLE experience. Strong background in machine learning engineering with a focus on model optimization, distillation, and deployment. Hands-on experience optimizing models for edge deployment or custom embedded GPU targets. Deep understanding of profiling tools and debugging resource constraints across CPU/GPU boundaries. Experience with modern deep learning frameworks (PyTorch or JAX) and runtime compilation. Robust programming skills in Python and C++. Familiarity with low-level camera/sensor interfaces and robotics hardware is a significant plus. Data & Long-Tail Scenarios What you’ll do Architect automated pipelines to ingest, filter, and identify rare, high-value, and long-tail scenarios out of multi-petabyte multi-sensor datasets. Target and extract complex structural corner cases from real-world driving logs to continuously feed, challenge, and improve our end-to-end behavior models. Iterate closely with QA, testing, and simulation teams to transform ambiguous real-world anomalies into concrete data blocks for simulation testing. Implement programmatic data curation, active learning strategies, and statistical quality metrics to optimize the signal-to-noise ratio of our training pipelines. What we’re looking for 10+ years of non-internship professional MLE experience. Professional experience building data curation pipelines, active learning workflows, or data mining architectures for massive physical datasets. Strong familiarity with robotics data structures and spatial frameworks, including Birds-Eye-View (BEV) or spatial tokenization. Experience processing and structuring raw data from Cameras, LiDAR, and Radar. Expert-level proficiency in Python, data engineering frameworks, and PyTorch/JAX. Exceptional ability to navigate, structure, and derive signal from highly ambiguous, messy, or undefined real-world data distributions. 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 - $345,000 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