Gatik
Senior Systems & Safety Engineer – AI/ML
$160K–$220K
Santa Clara, CA +1 · Senior · Full-time · Posted Sep 2, 2026
- Location
- Santa Clara, CA
Santa Clara, California, United States - Experience
- 6+ years in systems/safety engineering or autonomous systems, including at least 3 years explicitly focused on AI/ML safety.
- Education
- M.S. or Ph.D. in Computer Science, Robotics, Electrical Engineering, Machine Learning, or related field.
About the job
Develop and implement safety engineering strategies, monitoring, and safety cases for AI/ML components in Gatik’s Level 4 autonomous vehicles.
What you'll do
- Implement SOTIF and safety frameworks across AI/ML pipelines; define safety requirements and performance boundaries for learned systems.
- Design and validate runtime safety monitors, OOD detectors, and fail-safe guardrails; assess dataset safety, coverage, and bias.
- Conduct risk analyses and author structured safety cases for AI components in driverless operations.
What they ask for
- Deep working knowledge of ISO 21448 (SOTIF), ISO/PAS 8800, UL 4600, and ISO 26262.
- Strong understanding of LiDAR, Radar, Cameras, and IMUs, including failure modes in adverse conditions.
Nice to have
- Track record of taking a machine-learning-based L4 autonomous vehicle system to driverless commercial deployment.
- Experience with data generation/curation tools, active learning, and automated edge-case extraction pipelines.
Pay
$160,000- $220,000 (base salary)
Tools
ISO 21448 (SOTIF), ISO/PAS 8800, UL 4600, ISO 26262, LiDAR, Radar, Cameras, IMUs
AI focus
AI/ML safety for learned perception, prediction, and planning components, including OOD detection, runtime monitoring, dataset safety, and safety-case development.
Model-written summary · the original posting is authoritative