Senior System Software Engineer - CUDA Chips
Nvidia
At a glance
AI generatedNVIDIA’s Quantum Computing team seeks a senior software engineer to contribute to the development of CUDA-Q, a platform for hybrid quantum-classical multi-processor systems. The role involves building core infrastructure for inter-device communication and efficient execution across multiple processors, collaborating with architects and product managers to create an extensible toolchain, solving complex problems at the intersection of compilers, HPC, and quantum computing, and enhancing processes and infrastructure to accelerate development. Ideal candidates have a degree in Computer Science or Physics, 5+ years of experience, expertise in GPU-programming, proficiency in parallel and distributed programming, and knowledge of compiler fundamentals. Familiarity with FPGA programming, HDLs, and LLVM/MLIR is preferred, along with a passion for system design and improving extensibility.
Skills
What you'll do
What we're looking for
Market check
This $152,000–$241,500 range sits above 46% of similar postings on FindRole.
Peer median band
$161,800–$241,500
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$181,806–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has 801 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.
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