Software Engineer, CUDA-Q jobs in United States
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NVIDIA · 13 hours ago

Software Engineer, CUDA-Q

NVIDIA's Quantum Computing team is searching for an outstanding software engineer to build the toolchain of the future. The role involves developing the CUDA-Q platform for programming hybrid quantum-classical multi-processor systems and contributing to core infrastructure for inter-device communication and execution across multiple processors.

Artificial Intelligence (AI)SemiconductorConsumer GoodsHardwareSoftwareAppsAI InfrastructureConsumer ElectronicsFoundational AIGPUVirtual Reality
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Hiring Manager
Dayna W.
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Responsibilities

Contributing to the development of CUDA Quantum by building core infrastructure for inter-device communication and efficient execution across multiple processors
Partnering with architects, product managers, and collaborators to create an extensible toolchain integrating quantum architecture specific components
Solving difficult problems at the intersection of compilers, HPC and quantum computing to enable ground-breaking research and technology
Discussing and refining software designs and implementation strategies with peers
Improving processes and infrastructure to accelerate our development

Qualification

CUDA QuantumQuantum computingCompiler fundamentalsPerformance profilingGPU programmingSystem designCollaboration skillsCommunication skills

Required

Bachelors Degree in Computer Science, Physics or related engineering field (Ph.D. or Masters preferred), or equivalent experience
5+ years of experience
Ability working on large-scale software projects, and a proven track record of building performant and robust production software
A solid understanding of performance profiling, multi-processor systems, and compiler fundamentals
Ability to quickly develop expertise in new domains and products, and eagerness to master new challenges
Strong communication and collaboration skills

Preferred

Extensive knowledge about quantum computing hardware and control systems and/or prior experience implementing optimization and code generation components for various quantum computing architectures
A passion for system designing and a focus on improving extensibility
An understanding of quantum error correction
Deep understanding of compiler toolchains, specifically LLVM/MLIR
Proficiency in GPU- and/or FPGA-programming

Benefits

Equity and benefits

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase