
Senior Quantum Systems Engineer - Quantum Computing
Required skills
- Quantum Computing
- fault-tolerant quantum computing
- qubits
- quantum control systems
- real qubits
- systems analysis
- hardware
- firmware
- test cases
- technical requirements
Nice to have
- quantum control systems design
- networking
- real-time systems
- embedded software
- benchmarking quantum computers
- AI
Role summary
NVIDIA is seeking a Senior Quantum Systems Engineer to join its growing Quantum Computing team. This role involves defining system requirements for fault-tolerant quantum computing, developing real-time quantum error correction and calibration techniques, and distilling product requirements into technical specifications across hardware, software, and firmware. The ideal candidate will have a Bachelor's degree in a related field or equivalent experience, with over 5 years of post-bachelor's experience in complex hardware and software systems, and deep hands-on experience with real qubits and quantum control systems. Preferred qualifications include experience with quantum control system design, real-time systems, benchmarking, AI/ML, and 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.Sample NVIDIA interview questions
- 1
Design a system for a rock paper scissors game
system designmedium - 2
Implement a distributed data migration management platform.
system designmedium - 3
Design a Distributed Build System with Cross-Data Center Artifact Sharing
system designhard - 4
Design a distributed training system for a trillion-parameter language model
system designmedium - 5
Develop a distributed tracing system for tracking and debugging.
system designmedium
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