Senior Software Engineer, ML Infrastructure

Highlights

• Build the foundation powering Nuro Driver development from experiment to production.
• Design pipelines turning petabyte-scale sensor data into ML-ready formats.
• Maximize hardware utilization with intelligent large-scale workload scheduling.

What they offer

• Annual performance bonus
• Equity
• Competitive benefits package

Ideal candidate

A platform-minded engineer energized by large-scale infrastructure who cares about seamless compute access and accelerating autonomy development through reliable, efficient systems.

Requirements

• 4+ years of professional experience in ML Infrastructure, Backend Platform Engineering, or Distributed Systems
• Deep familiarity with modern Infrastructure-as-Code and provisioning tools such as Terraform, Pulumi, or Crossplane
• Hands-on experience building or managing large-scale orchestrators for compute-heavy workloads
• Proficiency in distributed processing frameworks such as Apache Spark or Apache Beam
• Experience implementing or maintaining feature stores and caching layers
• Strong understanding of distributed systems, networking, and storage bottlenecks in high-performance computing