Shape the future of logistics with Gatik as a Senior AI/ML Safety Engineer. Focus on safety engineering and machine learning to enhance autonomous operations in Santa Clara, CA.

At Gatik, you'll bridge deep learning algorithms and safety engineering, leading efforts in ISO 21448 and UL 4600 implementations. You will establish safety requirements, design runtime AI monitors, and validate their effectiveness. This role offers a unique prospect to work on driverless commercial vehicles using cutting-edge technology.

Key Responsibilities:



• Define functional safety and SOTIF strategies for AI components • Derive safety requirements and performance boundaries for neural networks • Design and validate AI safety guardrails and OOD detectors • Establish criteria for dataset safety and bias assessment • Conduct HAZOP and STPA risk analyses for deep learning failure modes

Requirements: • M.S. or Ph.D. in Computer Science or related field • 6+ years in safety engineering or autonomous systems • Deep knowledge of ISO 21448 and UL 4600 standards • Strong understanding of sensor modalities and their failures • Experience in deploying L4 autonomous vehicle systems

Drive innovation in AI safety engineering with Gatik's pioneering team in Santa Clara. #J-18808-Ljbffr

📌 Senior AI/ML Safety Engineer at Gatik (Winnipeg)
🏢 NextGenEnergyJobs
📍 Winnipeg