Availability awaiting confirmation
We are waiting for a fresh update from the source. This page preserves the last received job details; current availability is not confirmed.
Job 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.
About the role
We are seeking a Senior Software Engineer to build the log replay and scenario execution systems at the core of our simulation platform. In this role, you will take a recorded log from storage, to a replayable test case, to a scored result, and own the execution, determinism, and reporting in between. You will do this across on-road and off-highway programs, and you will own the tooling other engineers use to run scenario suites.
What you’ll do
Log replay. Build the pipeline that converts recorded logs into replayable test cases, including ingest, indexing, retrieval, and replay of a specific run on demand. Implement open-loop scoring against ground truth and closed-loop replay where the simulated machine is allowed to diverge.
Scenario execution. Build the execution layer that runs a scenario identically every time, including clock control, seed and configuration management, and results traceable to a software version.
Continuous integration. Integrate simulation into CI. Maintain the commit, nightly, and regression workflows, and keep failures attributable.
Metrics and reporting. Implement the pass criteria and metrics a release is judged against, and the reporting that reduces a batch of failing runs to an actionable list.
Scale and cost. Run large batches efficiently, track the cost of a simulation run, and reduce it as volume grows.
Tooling. Build the interfaces, visualizations, and command-line tools that make the platform usable by engineers who did not build it.
Cross-functional work. Work with autonomy and robotics on failure definitions, with bench and hardware-in-the-loop engineering on the path from simulation to bench to vehicle.
What we’re looking for
Bachelor's degree in Computer Science, Robotics, Electrical Engineering, or a related field with 5+ years of software engineering experience, or a master's with 3+ years required.
Proficiency in C++ and Python, including the ability to read, navigate, and debug large codebases.
Experience building and operating data or test infrastructure at scale, including pipelines, batch execution, storage and indexing.
Experience with simulation, log replay, or large-scale automated testing for robotics or autonomous vehicles.
Working experience with a robotics middleware and its logging and replay tooling.
Experience handling autonomous driving or robotics sensor data across multiple modalities and timestamps, including camera, LiDAR, and radar.
Practical understanding of determinism and reproducibility, including clock control, seed management, and configuration pinning.
Experience integrating test workloads into continuous integration.
Working fluency with modern AI coding and agentic development tools.
Clear written communication covering design notes and test results.
Willingness to travel occasionally to deployment and test sites.
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. 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 $195,000 - $246,000 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.
Ready to join us as we serve those who serve others?
#LI-Onsite
#J-18808-Ljbffr
Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.