Overland AI
Technical Lead - Compute Platform and Optimization
$200K–$260K
Seattle, WA · On-site · Full-time · Posted Jul 20, 2026
- Experience
- BS in computer science, electrical engineering, or a related field with 7+ years of relevant experience, or MS/PhD with 5+ years.
- Education
- BS in computer science, electrical engineering, or a related field; alternatively, MS/PhD.
- Visa sponsorship
- Employment is contingent on the ability to comply with U.S. export control laws.
About the job
Own performance and compute optimization for the autonomous off-road driving stack, improving runtime efficiency and developer iteration across the full system.
What you'll do
- Profile and optimize middleware, inter-process communication, and system resources to meet latency and throughput goals.
- Work with algorithm developers to identify and implement optimizations that meet real-time budgets.
- Build performance regression tests into CI and write high-performance C++ code while promoting good coding practices.
What they ask for
- Strong background in systems engineering, performance optimization, or compute platform development.
- Strong C++ and Python development skills.
- Familiarity with Linux systems programming, profiling tools, kernel tuning, and resource management.
Nice to have
- GPU programming and optimization, including CUDA, TensorRT, model quantization/pruning, or ahead-of-time compilation.
- Experience with ROS2 middleware, DDS implementations, or shared-memory transports.
Pay
$200,000 - $260,000 annually (base salary)
Tools
C++, Python, Linux, perf, nsight, vtune, CUDA, TensorRT
AI focus
Optimize compute for robotics and AI applications, including GPU workloads and model quantization/pruning.
Model-written summary · the original posting is authoritative