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# Staff Software Engineer

- **Company:** CAS, INC.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Nvidia CUDA, Python (Programming Language), Machine Learning, Real-Time Operating Systems, Sensor Fusion, Real Time Systems, Safety Critical Systems, Information Technology, Machine Learning Operations, TensorRT
- **Published:** November 5, 2026
- **Apply:** https://startup.jobs/staff-senior-staff-software-engineer-collision-avoidance-system-zoox-10683442

## About the Role

* BS, MS, or PhD in Computer Science, Electrical Engineering, Robotics, or a related field, or equivalent experience
 * At least 10 years of experience developing perception or related algorithms for robotics, autonomous vehicles, or other real-time systems
 * Deep expertise in 3D perception from lidar, radar, and/or camera, with hands-on experience in both machine learning (detection, segmentation, fusion) and classical methods (geometry, state estimation, tracking)
 * Strong C++ or Python skills and a track record of shipping efficient, reliable real-time software to production
 * Experience leading the architecture and technical roadmap of a complex production system across multiple teams, * Conference or Journal publications in Machine Learning or Robotics-related venues
 * Experience with safety-critical systems or functional safety practices (e.g., ISO 26262, SOTIF), collision avoidance, emergency braking, prediction, or planning systems for autonomous vehicles
 * Experience optimizing and deploying models or algorithms on onboard compute (e.g., GPU / CUDA, TensorRT)

## Description

* Serve as the technical lead and architect for CAS perception, defining how lidar, radar, and camera data become reliable obstacle detection, tracking, and collision-risk estimates under tight latency and compute budgets
 * Design, implement, and ship both machine learning and classical perception algorithms (e.g., point-cloud geometry, ground estimation, clustering, state estimation and tracking, learned detection and segmentation, sensor fusion) in production-quality, safety-critical C++
 * Own the end-to-end CAS algorithm architecture and multi-release technical roadmap, making clear trade-offs between safety, performance, latency, compute, and ML vs. non-ML approaches
 * Partner across CAS perception, behavior and planning, and validation to define interfaces, requirements, metrics, and evaluation strategies that show the system is safe and ready to launch
 * Work with sensor, system performance, safety strategy, and main autonomy teams to drive cross-team technical decisions, while mentoring engineers and raising the technical bar across CAS