Atoms
Staff Machine Learning Infrastructure Engineer
San Francisco, CA · Staff+ · Full-time
Sponsorship not specified$224k-$280kDetected 6 days ago
PythonJavaGoNode.jsKubernetesCI/CDMachine LearningData EngineeringMLOpsRoboticsCollaboration
About the role
- 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.
- It requires deep integration across hardware, software, AI, operations, manufacturing, and real estate.
Responsibilities
- Distributed Computing & Orchestration: Leverage distributed compute frameworks to efficiently manage and execute a high volume of complex ML training jobs concurrently across large GPU clusters.
- Data Engineering Pipelines: Build and optimize high-throughput data ingestion pipelines to seamlessly stream petabyte-scale multi-sensor vehicle logs into training environments.
- Hands-on experience building MLOps pipelines, metadata tracking architectures, and model registries using platforms like MLflow.
- In this role, you will design the high-performance training pipelines and validation environments that enable our world-class robotics and ML researchers to iterate rapidly.
- You will own the challenge of scaling distributed GPU workloads to support a high volume of concurrent training runs across an expanding vehicle fleet, building a platform that can flexibly run on whatever GPU capacity is available, regardless of provider or environment, directly accelerating innovation across the platform.
- Atoms is building the machines that power the next era of progress.
- 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.
- We don't just build machines in a lab.
- 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.
Requirements
- 8+ years of professional software engineering career experience
- Proficiency with Kubernetes for container orchestration and building cloud-agnostic environments from scratch.
- Experience implementing distributed ML compute frameworks (e.g., Ray) to coordinate large pools of GPUs for heavy, multi-node workloads.
Nice to have
- Strong backend systems programming skills with proficiency in Go, Python, Java or similar (with familiarity or exposure to Rust considered a plus).
Compensation
- The base salary range for this role is $224,000 - $280,000 per year.
Benefits
- 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, Vision, Disability, and Life Insurance
- Flexible Spending Account / Health Savings Account Options
Company info
- 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.
- We're changing that.
- This work requires more than robotics.
This listing is sourced directly from Atoms's careers page and normalized into a canonical job model.