Job Description
Build developer tools and workflows for AI workflow development, optimization, and deployment. Design and implement CLIs, SDKs, APIs, and VS Code integrations. Work across the AI software stack to improve performance, compatibility, and developer experience. Collaborate with Windows, AI/ML, hardware, and open-source teams to bring AI workloads to Windows and Edge devices. Drive projects end-to-end from design through implementation and delivery. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python or equivalent experience. These requirements include but are not limited to the following specialized security screenings: Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent experience. Solid software engineering experience with C++ or Python. Hands-on experience with AI frameworks or inference runtimes. Experience with GPU programming or acceleration, including CUDA. Solid debugging, performance analysis, and system design skills. Experience building and shipping production-quality software. Experience with compilers or compiler technologies. Solid experience with PyTorch and its ecosystem. Experience with Triton, SGLang, or similar infrastructure. Experience with AI on Edge / on-device AI. Experience with model conversion, quantization, graph optimization, or inference optimization. Experience with GPUs, NPUs, or heterogeneous computing. Experience with DirectX technologies (e.g. Direct3D, HLSL, compute shaders).