Senior Quantum Systems Engineer - Quantum Computing
Overview
- Added in 30 days
- 647
- At this company, still open
Skills named in this posting
- CUDA
Quantum computing is a strategic priority for NVIDIA, and our goal is to help accelerate the entire ecosystem. In this role, you’ll join a rapidly growing Quantum Computing team and work with internal and external teams to define system requirements to enable fault-tolerant quantum computing.
Do you love engineering complex systems for controlling a quantum computer and working at the speed of light with collaborative people and teams all around the world? If yes, we would love to hear from you!
What you'll be doing:
• Collaborate with internal product, research, and engineering teams and external partners to define system requirements to enable fault-tolerant quantum computing
• Develop novel approaches to real-time quantum error correction and calibration supported by rigorous systems analysis for a variety of qubit modalities
• Distill product requirements to technical requirements across hardware, software, and firmware
• Develop test cases supporting technical requirements and review test implementations for correctness and completeness
• Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving
What we need to see:
• Bachelor’s degree in Physics, Electrical Engineering, Computer Science, Applied Mathematics, or related engineering field or equivalent experience. Higher degrees also welcome.
• 5+ overall years of post-bachelor’s experience including responsibility for engineering across multiple parts of a complex hardware and software system
• Deep hands-on experience working with real qubits and quantum control systems software
• Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing
Ways to stand out from the crowd:
• Experience with design of quantum control systems and techniques, including communication and networking
• Experience with development of real-time systems and embedded software
• Knowledge of methods of benchmarking quantum computers
• Adoption of AI and ML techniques
• Experience with CUDA and NVIDIA GPUs
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Apply on the employer's site
Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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