Senior Quantum Systems Engineer - Quantum Computing

Posted 16 Days Ago
Be an Early Applicant
3 Locations
Remote or Hybrid
152K-288K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Define system and technical requirements for fault-tolerant quantum computing across hardware, software, and firmware. Develop real-time quantum error correction and calibration approaches, perform systems analysis across qubit modalities, and create and review test cases. Collaborate with product, research, engineering, and external partner teams to advance quantum control systems, quantum computing products, and related NVIDIA technologies.
Summary Generated by Built In

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.

Skills Required

  • Bachelor's degree in Physics, Electrical Engineering, Computer Science, Applied Mathematics, or a related engineering field, or equivalent experience
  • 5+ years of post-bachelor's experience
  • Engineering responsibility across multiple parts of a complex hardware and software system
  • Hands-on experience working with real qubits and quantum control systems software
  • Experience with design of quantum control systems and techniques, including communication and networking
  • Experience developing real-time systems and embedded software
  • Knowledge of methods for benchmarking quantum computers
  • Experience applying AI and machine learning techniques
  • Experience with CUDA and NVIDIA GPUs

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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