ML Triaging Engineer

Highlights

• Analyze real-world run data and on-road interventions for ADAS+ systems.
• Own safety issues from identification through to documentation and reporting.
• Help build embodied intelligence that moves real vehicles safely.

Ideal candidate

Detail-oriented problem-solver passionate about ADAS safety and quality who thrives in ambiguity, collaborates across time zones, and takes ownership from investigation to resolution.

Requirements

• Previous experience in ADAS, Autonomous Vehicles or Testing
• Passion for Quality and Safety-first mindset
• Ability to learn and use a variety of internal tools and software platforms
• Comfort with technical terminology related to ADAS systems and software stacks
• Strong communication skills across cross-functional and time-zone-distributed teams
• Analytical thinking, logical reasoning, and bias-free problem-solving
• Detail-oriented approach with a focus on accuracy, even over extended sessions
• Strong debugging, documentation, and investigation skills
• Ability to work independently and as part of a collaborative team
• Experience with issue tracking and configuration management (e.g. Jira, Confluence, Bitbucket)
• Familiarity with software development concepts: source control, requirements analysis, build pipelines
• Exposure to software release workflows and release testing practices
• Basic experience with scripting (e.g. Bash, Python)
• SQL/data analysis proficiency for deeper log review and trend analysis
• Experience with AV testing or robotics systems