Software Engineer, CUDA-Q

Nvidia

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Hybrid

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Work type
Hybrid
Location
CAWA
Employment
Full-time
Posted
48 days ago
Freshness
Confirmed live today

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Similar $182k
$132k $237k
below market most similar roles pay here above market

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About Nvidia

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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Software Engineer, CUDA-Q

Software Engineer, CUDA-Q joins the Quantum Computing team to develop the CUDA-Q platform for programming hybrid quantum-classical multi-processor systems. The role involves building core infrastructure for inter-device communication and efficient execution across multiple processors while creating an extensible toolchain that integrates quantum architecture specific components. You will solve complex problems at the intersection of compilers, high-performance computing, and quantum computing to enable research and technology. Key requirements include experience with large-scale software projects, performance profiling, multi-processor systems, and compiler fundamentals. Preferred skills include knowledge of LLVM/MLIR, GPU and FPGA programming, quantum error correction, and quantum hardware control systems. You will collaborate with architects and product managers to refine software designs and improve development processes for these novel computing systems.

What does a Software Engineer earn in California?

Median $214500 from 1193 postings across 76 companies.

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What you'll do

  • Build core infrastructure for inter-device communication and efficient execution across multiple processors.
  • Develop an extensible toolchain that integrates quantum architecture-specific components.
  • Solve complex problems at the intersection of compilers, HPC, and quantum computing.
  • Refine software designs and implementation strategies with engineering peers.
  • Improve internal processes and infrastructure to accelerate software development.
  • Build performant and robust production software for large-scale projects.

What we're looking for

  • Bachelor's Degree in Computer Science, Physics, or related engineering field (Master's or Ph.D. preferred) or equivalent experience.
  • 5+ years of experience.
  • Proven track record of building performant, robust production software on large-scale software projects.
  • Solid understanding of performance profiling, multi-processor systems, and compiler fundamentals.
  • Strong communication and collaboration skills.
  • Ability to quickly develop expertise in new domains and products.
  • Extensive knowledge of quantum computing hardware, control systems, or implementing optimization and code generation components (preferred).
  • Deep understanding of compiler toolchains, specifically LLVM/MLIR, and proficiency in GPU- and/or FPGA-programming (preferred).

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