Senior Software Engineer, ML Infrastructure Platform

Added
7 days ago
Type
Full time
Salary
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Related skills

python kubernetes distributed systems go gpu

📋 Description

  • Work on ML infrastructure that trains models at the core of the Nuro Driver™
  • Own training pipelines, multi-generation accelerators, and multi-cluster scheduling/orchestration
  • Design and operate large-scale data pipelines (batch/streaming, storage layout, high throughput)
  • Develop agentic-first workflows (data-to-training-to-evaluation) that are reproducible and
  • Ensure reliability for training and release pipelines; implement monitoring, alerts, and incident

🎯 Requirements

  • BS, MS, or PhD in CS/EE or related field; 3+ years of relevant work experience
  • Willingness to deep-dive into implementation and raise tech/operational standards
  • Ownership mindset with focus on monitoring, alerting, runbooks
  • Strong proficiency in Python; comfort with C++, Go or similar systems language
  • Hands-on experience running production infrastructure on Kubernetes
  • Solid distributed-systems fundamentals, performance/reliability reasoning

🎁 Benefits

  • Base pay range: $193,930 - $291,150 (USD), eligible for annual bonus, equity, and benefits
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