招聘

Principal Quantum Systems Engineer - Applied Research Quantum Computing
US, CA, Remote
·
Remote
·
Full-time
·
1mo ago
Compensation
$240,000 - $379,500
Benefits & Perks
•Competitive salary and equity package
•Parental leave
•Comprehensive health, dental, and vision insurance
•Generous paid time off and holidays
•Team events and activities
•Equity
•Parental Leave
•Healthcare
Required Skills
TypeScript
React
JavaScript
At NVIDIA, we’re solving the world’s most exciting problems with our unique approach to accelerated computing. We’re looking for passionate technologists with deep quantum computing domain expertise to path-find the future. As a Principal Quantum Systems Research Scientist for Quantum Computing Applied Research, you'll lead the systems engineering to design, develop, and test the integration of QPUs into a fault-tolerant Accelerated Quantum Supercomputer, and work with multi-functional teams in Product, Engineering and Applied Research.
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 partners across the industry. You’ll determine technical requirements of a complex hybrid quantum-classical system, engineer and integrate complex subsystems, and develop the design, analysis, and test for the system. 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:
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Path-find technical innovations in quantum-classical systems design and integration, working with multi-functional teams in Product, Engineering, and Applied Research
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Develop novel approaches to real-time calibration supported by rigorous systems analysis for a variety of qubit modalities
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Research and co-design integration of classical control systems, QPUs, and heterogeneous GPU and CPU compute, including computation and communication requirements
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Collaborate with internal teams and external partners on developing technology requirements and system components to enable fault-tolerant quantum computing
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Adopt a culture of collaboration, rapid innovation, technical depth, and creative problem solving
What we need to see:
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PhD Degree in Physics, Electrical Engineering, Computer Science, Applied Mathematics, or related engineering field or equivalent experience
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Extensive background in Quantum Information Science and Systems Engineering with 12+ overall years of experience in the Quantum Computing industry
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A demonstrated ability to deliver high impact value in quantum computing systems design
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Hands-on experience working with several different types of qubits and controller systems
Ways to stand out from the crowd:
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Hands-on experience with co-design of control systems with qubit architectures, ideally including communication and networking techniques
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Working knowledge of methods of measuring and benchmarking quantum systems
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Adoption of AI and ML techniques
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Experience with CUDA and NVIDIA GPUs
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Passion to drive technology innovations into NVIDIA software and hardware products to support Quantum Computing
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 240,000 USD - 379,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until January 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
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About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
4.1
10 reviews
Work Life Balance
3.5
Compensation
4.2
Culture
4.3
Career
4.5
Management
4.0
75%
Recommend to a Friend
Pros
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
Cons
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
Salary Ranges
47 data points
Junior/L3
Mid/L4
Junior/L3 · Analyst
7 reports
$170,275
total / year
Base
$130,981
Stock
-
Bonus
-
$155,480
$234,166
Interview Experience
7 interviews
Difficulty
3.1
/ 5
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
News & Buzz
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
News
·
NaNw ago
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
News
·
NaNw ago
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
News
·
NaNw ago
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
News
·
NaNw ago