CUDA-Q Engineer: Equity, HPC & Quantum Inter-Device Systems
Listed on 2026-11-01
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Software Development
Computer Science, AI Engineer (Applied/Software), Computer Software / Middleware, Software Engineer
Develop the CUDA-Q platform by building core infrastructure for inter-device communication and efficient execution across multi-processor systems. Collaborate with architects and product managers to create an extensible toolchain integrating quantum architecture components.
Requirements: Requires a Bachelor's degree in Computer Science, Physics, or a related field with 5+ years of experience in large-scale software projects. Candidates must have a strong understanding of performance profiling, multi-processor systems, and compiler fundamentals.
Key Skills: CUDA-Q, Distributed Systems, Compiler Fundamentals, Performance Profiling, LLVM, MLIR, GPU Programming, FPGA Programming, Quantum Computing Hardware, Quantum Error Correction, HPC, System Design, Inter-device Communication, Code Generation, Software Engineering, Multi-processor Systems
Benefits: Equity
This position is for the CUDA-Q Engineer:
Equity, HPC & Quantum Inter-Device Systems role at NVIDIA AI.
The CUDA-Q Engineer:
Equity, HPC & Quantum Inter-Device Systems position in the IT & Technology field is open for applications.
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