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Robotics Systems Engineer

Atoms
CompanyAtoms
CategoryEngineering
LocationSan Francisco
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted5 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
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 Atoms is looking for a Robotics Systems Engineer who thrives at system-level debugging and end-to-end delivery of autonomy capabilities on real vehicles. You’ll develop, integrate, test, and deploy features for our autonomous vehicle fleet, helping bring autonomy capabilities from prototype to reliable real-world performance. This role may be hired at multiple levels, depending on experience and demonstrated scope of ownership. At more senior levels, this role will include greater ownership of autonomy features, production readiness, system-level validation, release gates, and cross-functional technical leadership. Responsibilities include Develop, integrate, and validate autonomy features, including production software, tests, diagnostics, and deployment support. Debug system-level issues across sensors, compute, networking, controls, vehicle interfaces, and autonomy software using logs, metrics, and on-vehicle tools. Support or lead technical execution for vehicle bring-up and deployments, including planning, risk identification, validation, issue triage, and coordination across teams. Define and improve diagnostics, validation criteria, release gates, and metrics for production readiness. Support field and track testing, including hands-on vehicle debugging and periodic travel to test facilities or deployment hubs. Bring up and integrate new platforms by working with hardware and integration teams on sensors, vehicle signals, calibration, and performance tuning. Collaborate with hardware, operations, safety, and product teams to deliver robust, safe, and maintainable autonomy behavior. At senior levels, serve as a technical owner for production readiness of major autonomy capabilities or vehicle deployments, including cross-team validation and mentoring other engineers. Travel note: This role requires periodic travel to test sites or regional deployment hubs (up to 15%). Schedule note: Some schedule flexibility may be required during deployments   What we’re looking for 3+ years of professional, non-internship software development or robotics engineering experience; 3+ years or equivalent demonstrated scope for senior-level consideration. Strong programming skills in C++ and Python. Experience designing, building, testing, and debugging maintainable software for real-time or robotics systems. Proven robotics engineering experience with system-level ownership, such as integration, debugging, performance tuning, field testing, deployments, or platform bring-up. Ability to diagnose issues across software, hardware, sensors, networking, vehicle interfaces, controls, or autonomy stacks. Experienc
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