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# Software Engineer - GPU Kernels

- **Company:** Baseten, Inc
- **Location:** San Francisco, CA, United States
- **Salary:** $180,000
- **Contract:** Permanent contract
- **Skills:** Adobe Flash, Application Programming Interfaces (APIs), Artificial Intelligence, C++ (Programming Language), Profiling, Nvidia CUDA, Open Source Technology, Graphics Processing Unit (GPU), Transformer Architectures, CUTLASS
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_c55fa73ea7a1650eb73269acefdf0e66

## About the Role

* 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

## Description

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