Sr. Staff Engineer, Autonomy Triage

Rivian Rivian · Auto · Palo Alto, CA · Autonomous Driving

Sr. Staff Engineer, Autonomy Triage at Rivian. This role focuses on owning the architecture and methodology for the L4 autonomy triage infrastructure, turning road data into actionable signals for improving the autonomy stack. It involves defining and owning the end-to-end triage pipeline, enhancing ground truth infrastructure, evaluating metric parity, and driving the roadmap for triage coverage. Requires deep familiarity with AV development, ML model development/deployment, and large-scale data engineering.

What you'd actually do

  1. Define and lead the strategy and execution for L4 autonomy triage at scale
  2. Define and own the end-to-end triage pipeline: from event detection through feature metric parity analysis, classification, and root cause analysis
  3. Enhance the ground truth infrastructure that ties driver-reported symptoms to event signatures, enabling precision and recall measurement of our feature metrics
  4. Drive the methodology for evaluating metric parity between on-road and simulation environments
  5. Ensure on-road signatures and sim metrics are in sync and representative of real world scenarios, and that gaps are continuously closed through focused feedback cycles

Skills

Required

  • 10+ years of engineering experience
  • at least 5 years developing autonomous vehicle systems, preferably Level 4 systems
  • Deep familiarity with the full AV development loop, autonomy systems, sensor modalities, and end-to-end triage process; data collection, labeling pipelines, metric frameworks, simulation, and safety validation
  • Hands-on experience designing or owning triage, disengagement analysis, or event detection systems at scale
  • Strong problem solving skills in a highly cross functional and fast paced environment
  • Strong data engineering fundamentals: large-scale data pipelines, feature extraction, and event querying across structured and unstructured driving data
  • Experience with ML model development or deployment — particularly classification or anomaly detection in time-series or sensor data
  • Proficiency with Python and SQL

Nice to have

  • experience working with LLMs or prompt-based pipelines

What the JD emphasized

  • own the architecture
  • own the end-to-end triage pipeline
  • own the architecture of the systems and methodology
  • Deep familiarity with the full AV development loop
  • Hands-on experience designing or owning triage, disengagement analysis, or event detection systems at scale

Other signals

  • Develop and own the end-to-end triage pipeline for L4 autonomy
  • Detect, classify, and root-cause undesired behavior at scale
  • Enhance ground truth infrastructure for event signatures
  • Evaluate metric parity between on-road and simulation environments
  • Experience with ML model development or deployment