Develops and deploys embedded ML systems and on-device multimodal LLMs for Android Automotive platforms, optimizing for edge constraints like latency and safety. Requires 3+ years shipping ML on embedded/mobile platforms, C++ proficiency, and Android expertise.
Base salary range: $150,000 - $250,000 USD annually, plus equity and benefits.
Develop and integrate core path planning algorithms for autonomous aerial systems (UAVs, fighter aircraft) supporting military missions. Requires 3-5 years experience with sampling/grid-based planning methods, C++ or Python, and outer-loop control systems.
Leads embedded security architecture for vehicle platforms, implementing secure boot, HSM integration, and cryptographic protections. Requires 5+ years experience, expertise in embedded security, and programming in C/C++/Python.
Develops real-time path and motion planning algorithms in C++ for autonomous vehicles, integrates with on-vehicle systems like perception and controls, and validates through simulation, HIL, and field testing. Requires strong C++ skills, robotics background, and hands-on deployment experience.
Builds high-performance, low-latency distributed systems and real-time data pipelines in C++ or Rust for edge robotics hardware. Requires 3+ years systems programming experience, strong concurrency knowledge, and Linux optimization skills.
Designs and implements deterministic, safety-critical motion planners for autonomous vehicle fallback systems, ensuring safe behavior under uncertainty. Requires 5+ years in AV/robotics motion planning, C++ proficiency, and data-driven evaluation skills.