AI / Computer Vision (IC)

📋 Description

• Lead design and implementation of Safety AI real-time perception on millions of edge devices.
• Architect end-to-end CV pipelines for safety: object detection, tracking, segmentation.
• Define edge/cloud perception roadmap and optimize models for constrained hardware.
• Collaborate with hardware/firmware teams to co-design the full stack.
• Work with petabyte-scale multimodal data to train production models.
• Mentor engineers and translate customer needs into actionable tasks.

🎯 Requirements

• Master’s or PhD in CS, EE, Robotics, CV, or related quantitative field.
• 10+ years as scientist/ML engineer, leading end-to-end AI systems in production.
• Deep CV expertise: object detection, tracking, segmentation in real-world environments.
• Experience with multimodal perception and sensor fusion (camera, lidar, radar, GPS/IMU).
• Experience with transformer-based architectures and vision-language models; plus edge/real-time deployment.
• Publications or patents at top-tier venues (CVPR, ICCV, ICRA, NeurIPS) are a plus.

🎁 Benefits

• Flexible remote work model with in-person options where needed.
• Professional development stipend.
• Comprehensive health and parental leave plans.
• Above-market total rewards including base and equity for eligible roles.
• Global, inclusive culture with growth opportunities.
• Access to high-impact, mission-driven projects.