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Bright Vision Technologies
Gpu Systems Engineer
Remote · United States · Full time · Senior level
$100k–$150k / year
About the role
Design and optimize GPU compute-intensive workloads for AI, HPC, and data processing. Collaborate cross-functionally to deliver high-performance GPU solutions.
What you’ll do
• Design and implement high-performance CUDA kernels. • Profile and optimize GPU code with Nsight and CUDA profilers. • Tune memory and resource usage for peak performance. • Develop optimized ML libraries and custom operators. • Collaborate with ML engineers to identify bottlenecks.
What you’ll bring
• Bachelor's or Master's in CS or related field. • 6+ years GPU programming and performance engineering. • Expertise in CUDA C/C++ and GPU architectures. • Experience with NCCL, MPI, and high-performance interconnects. • Strong C++ and systems programming skills.
Life at Bright Vision Technologies
Bright Vision Technologies values diversity and inclusion, offering equal opportunity employment and support for employee needs.
About Bright Vision Technologies
Bright Vision Technologies builds innovative software solutions to automate and optimize business operations using cutting-edge technology.