Software Engineer, ML Infrastructure

Highlights

• Build the foundation powering Nuro Driver™ from experimentation to production.
• Scale automated infrastructure across thousands of nodes to accelerate autonomy.
• Transform petabyte-scale sensor data into ML-ready formats for autonomy.

What they offer

• Annual performance bonus
• Equity
• Competitive benefits package

Ideal candidate

Platform-minded engineer with distributed systems experience who enjoys abstracting complexity and enabling researchers to iterate faster on autonomy. You care about reliability, efficiency, and accelerating real-world self-driving impact.

Requirements

• 3+ years in ML Infrastructure, Backend Platform Engineering, or Distributed Systems
• Familiarity with Infrastructure-as-Code and provisioning tools
• Experience building or managing large-scale orchestrators for compute-heavy workloads
• Proficiency in distributed processing frameworks for large-scale data transformation
• Experience implementing or maintaining feature stores and caching layers
• Strong understanding of distributed systems, networking, and storage bottlenecks for HPC