Baseten에서 AI 모델 성능을 극대화할 GPU 커널 엔지니어를 채용합니다. CUDA 및 C++를 활용한 고성능 커널 설계와 최적화가 핵심 업무입니다. GPU 아키텍처에 대한 깊은 이해와 메모리 최적화 경험이 필수입니다. 최첨단 AI 인프라를 구축하며 기술적 성장을 경험할 수 있는 기회입니다.
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 $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to to ship AI products.
We’re seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications.
You'll work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work.
You'll get to work on these types of projects as part of our Model Performance team:
Design and implement high-performance GPU kernels for key ML operations, including matrix multiplications, attention mechanisms, and mixture-of-experts routing
Write and optimize code using CUDA, PTX assembly, and architecture-specific techniques
Apply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core acceleration, and compute/memory overlap
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
Contribute to internal and open-source GPU libraries
Present technical contributions at industry conferences (e.g., NVIDIA GTC, AWS re:Invent)
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 (our offices are 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.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
