jazzhr
High-Performance Computing Engineer
Bright Vision Technologies
Remote, USA
Full-time
Senior · 6+ years experience
Remote
USD 130000-150000 yearly / year
Discovered Yesterday
CUDAC++NCCLMPITritonCUTLASS
Free
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CUDAC++NCCL
Key Skills for This Role
CUDAC++NCCLMPITritonCUTLASS
Full Job Posting
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
- Six or more years of experience in GPU programming and performance engineering.
- Deep expertise in CUDA C/C++ and GPU programming models.
- Strong understanding of modern GPU architectures, memory hierarchies, and execution models.
- Hands-on experience profiling and optimizing GPU workloads in production.
- Familiarity with NCCL, MPI, and high-performance interconnect technologies.
- Experience integrating custom kernels into ML frameworks.
- Strong C++ skills and familiarity with modern systems programming practices.
- Solid grounding in linear algebra and numerical methods.
- Strong communication and collaboration skills with research and engineering teams.
- Experience with Triton, CUTLASS, or other GPU kernel authoring frameworks.
- Familiarity with TensorRT, FasterTransformer, or vLLM internals.
- Exposure to compiler infrastructure such as LLVM or MLIR.
- Open-source contributions to GPU or ML performance libraries.
- Experience with large-scale distributed training infrastructure.
About Bright Vision Technologies
Software & SaaS51 employees
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