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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Lead - Compute Platform and Optimization - **Company:** Overland Ai - **Location:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $200,000.0 - $260,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computing Platforms, Systems Engineering, C++ (Programming Language), Profiling, Nvidia CUDA, Computer Programming, Continuous Integration, Linux, Middleware, Inter-Process Communication, Python (Programming Language), Open Source Technology, Performance Tuning, Regression Testing, Software Organization, Real Time Systems, Gpu Programming, Perf (Linux), Information Technology, Build Tools, TensorRT - **Published:** July 23, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ebdfa4375895b6fd ## About the Role * BS in computer science, electrical engineering, or a related field with 7+ years of relevant experience, or MS/PhD with 5+ years * Strong background in systems engineering, performance optimization, or compute platform development * Strong C++ and Python development skills * Familiarity with Linux systems programming, including profiling tools (perf, nsight, vtune), kernel tuning, and resource management, * Experience with GPU programming and optimization (CUDA, TensorRT, model quantization/pruning, ahead-of-time compilation) * Experience with ROS2 middleware, DDS implementations (CycloneDDS, FastDDS), or shared-memory transports (iceoryx) * Familiarity with high performance GPU compute platforms for robotics and AI applications * Experience optimizing real-time systems with hard latency constraints * Experience with large-scale build systems and CI/CD infrastructure * Contributions to open-source middleware or performance tooling ## Description Overland AI has secured funding from prominent defense tech investors including 8VC and Point 72, and built trusted partnerships with DARPA, the U.S. Army, Marine Corps, and Special Operations Command. Backed by eight-figure contracts across the Department of Defense, we are strengthening national security by iterating closely with end users engaged in tactical operations., We are looking for an experienced software engineer to own performance and the compute platform that underpins our autonomous off-road driving stack. This role spans middleware performance, system-level tuning, and compute optimization. You will work across the full stack to ensure our software runs efficiently on high-performance compute platforms in the field and that our developers can iterate quickly. In this role, you will: * Profile and optimize middleware and inter-process communication (ROS2, DDS, shared-memory transports) to minimize latency and maximize throughput across the autonomy stack * Identify and resolve system-level performance bottlenecks across CPU, GPU, memory, and I/O * Work directly with algorithm developers to profile their code, identify optimization opportunities, and co-design implementations that meet real-time budgets * Build automated performance regression testing into CI so degradations are caught before merge * Write high-performance clean C++ code and promote good coding practices throughout the software organization * Think holistically about the system: understand how changes in one area affect the whole, contribute improvements beyond your core domain, and help raise the bar for the entire engineering organization ## Related Videos - [Tour de Force: Open-Source LLM Inference Optimization from Simple to Sophisticated](https://www.wearedevelopers.com/videos/100099-tour-de-force-open-source-llm-inference-optimization-from-simple-to-sophisticated) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Trends, Challenges and Best Practices for AI at the Edge](https://www.wearedevelopers.com/videos/630-trends-challenges-and-best-practices-for-ai-at-the-edge) - [Efficient deployment and inference of GPU-accelerated LLMs​](https://www.wearedevelopers.com/videos/929-efficient-deployment-and-inference-of-gpu-accelerated-llms) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)