Nvidia Senior Software Engineer - Parallel Computing Systems 

United States, Texas 

987289769

What we need to see

• MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).

• 4+ years advanced C++ programming with large codebase development, template meta-programming, and performance-critical code.

• Strong parallel programming experience with multi-threading, OpenMP, CUDA, MPI, NCCL, NVSHMEM, or other parallel computing technologies.

• Shown experience with low-level performance optimization and systematic bottleneck identification beyond basic profiling.

• Performance analysis skills: experience analyzing high-level programs to identify performance bottlenecks and develop optimization strategies.

• Collaborative problem-solving approach with adaptability in ambiguous situations, first-principles based thinking, and a sense of ownership.

• Excellent verbal and written communication skills.

Ways to stand out from the crowd

• Experience with HPC/Scientific Computing: CUDA optimization, GPU programming, numerical libraries (cuBLAS, NCCL), or distributed computing.

• Compiler engineering background: LLVM, GCC, domain-specific language design, program analysis, or IR transformations and optimization passes.

• Deep technical foundation in CPU/GPU architectures, numeric libraries, modular software design, or runtime systems.

• Experience with large software projects, performance profiling, and demonstrated track record of rapid learning.

• Expertise with distributed parallelism techniques, tensor operations, auto-tuning, or performance modeling.