Software Engineer - GPU Kernels

We’re seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration. In this role you will craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications., * Implement cutting-edge features like quantization (FP8/FP4), sparsity, and compute/communication overlap

• Identify and resolve performance bottlenecks using tools like Nsight Systems, Nsight Compute, and Torch Profiler
• Collaborate with research teams to productionize theoretical advancements

• Strong understanding of GPU architecture and programming paradigms:
• Memory hierarchy (global, shared, registers, L1/L2 cache)
• Thread/block/grid organization
• Synchronization techniques and race condition mitigation
• Proficient in C++ and GPU performance profiling tools
• Knowledge of:
• CUDA C++ API
• Memory access patterns and bandwidth optimization
• Numerical precision and quantization strategies
• Modern GPU features (e.g., tensor cores, async operations), * Experience with Transformer models and attention optimization (e.g., Flash Attention)
• Familiarity with GPU kernel libraries: Cutlass, Triton, Thrust, CUB
• Background in GEMM tuning and distributed/multi-GPU compute
• Contributions to open-source GPU projects
• Research publications or conference presentations on GPU performance

• Competitive compensation, including meaningful equity.
• 100% coverage of medical, dental, and vision insurance for employee and dependents
• Flexible PTO policy including company-wide Winter Break (offices closed from Christmas Eve to New Year’s Day)
• Paid parental leave
• Fertility and family-building stipend through Carrot
• Company-facilitated 401(k)
• Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Baseten powers mission-critical inference for the world’s most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We’re growing quickly and recently raised our $300M Series E, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction.