Sr. Staff Engineer, Autonomy Triage

Rivian; Palo Alto (CA); On-site; USD 130,000 - 160,000; Full time

Job summary

Rivian is seeking a Sr Staff Triage Engineer in Palo Alto to lead the architecture of systems that convert unlabeled driving data into actionable insights for our autonomy stack. The successful candidate will work with various teams to ensure accurate detection and classification of driving events.

The role requires a graduate degree in engineering and over 10 years of experience in the field, with a focus on autonomous vehicle systems. Candidates must exhibit strong data engineering fundamentals and problem-solving skills.

Qualifications

• 10+ years of engineering experience with 5+ years in autonomous vehicle systems.
• Deep familiarity with autonomous vehicle development loop.
• Hands-on experience designing triage or event detection systems.
• Experience with machine-learning model development or deployment.

Responsibilities

• Lead the architecture of systems to convert unlabeled driving data into actionable insights.
• Work closely with teams to ensure accurate detection and classification of driving events.

Skills

Problem-solving skills

Data engineering fundamentals

Proficiency with Python

Proficiency with SQL

Education

Graduate degree in engineering (computer science, electrical, or mechanical)

Tools

Large language models

Job description

The Sr Staff Triage Engineer will lead the architecture of systems that convert unlabeled driving data into actionable insights for Rivian's autonomy stack. This role is part of the Autonomy Triage team, which focuses on enhancing the workflows that connect driver experiences to the evolution of autonomous vehicle systems. The engineer will work closely with various teams to ensure accurate detection and classification of driving events.

Responsibilities

• Lead the architecture of systems that convert unlabeled driving data into actionable insights for the autonomy stack.
• Work closely with various teams to ensure accurate detection and classification of driving events.

Qualifications

• Graduate degree in engineering (preferably computer science, electrical, or mechanical).
• 10+ years of engineering experience, with at least 5 years developing autonomous vehicle systems, preferably Level4.
• Deep familiarity with the full autonomous vehicle development loop, including autonomy systems and sensor modalities.
• 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, including large‑scale data pipelines and feature extraction.
• Experience with machine‑learning model development or deployment, particularly in classification or anomaly detection.
• Proficiency with Python and SQL; experience with large language models or prompt‑based pipelines is a strong plus.