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Quantum Machine Learning Jobs in California (NOW HIRING)

Nvidia

Product Manager, AI for Quantum

Santa Clara, CA · On-site

Understanding of how machine learning and AI techniques can be applied to scientific and engineering problems, with the ability to evaluate emerging AI-for-quantum use cases and technologies * World ...

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How much do quantum machine learning jobs pay per year?

As of Sep 13, 2026, the average yearly pay for quantum machine learning in California is $42,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 per year, depending on experience, location, and employer.

What is a quantum machine learning?

A Quantum Machine Learning (QML) job involves applying principles of quantum computing to machine learning tasks. Professionals in this field develop algorithms that leverage quantum systems to improve computational efficiency and solve complex problems faster than classical methods. Responsibilities often include researching quantum algorithms, implementing quantum circuits, and working with tools like Qiskit or TensorFlow Quantum. These roles are typically found in research labs, tech companies, and startups exploring the intersection of AI and quantum technology. Strong backgrounds in quantum mechanics, linear algebra, and computer science are essential.

What does a quantum machine learning professional do?

Quantum Machine Learning professionals often work on exploratory projects at the intersection of quantum computing and artificial intelligence, such as developing new algorithms that leverage quantum hardware for faster data processing or optimizing classical ML models using quantum techniques. Daily tasks may include designing experiments, simulating quantum systems, analyzing results, and collaborating with physicists and software engineers. The work can range from foundational research to applied development, depending on the organization's focus. These roles frequently involve teamwork and staying updated on emerging academic and industry advances to ensure innovative problem-solving approaches.

What are the key skills and qualifications needed to thrive in quantum machine learning?

To thrive in Quantum Machine Learning, you need a solid background in quantum physics, machine learning, linear algebra, and programming—often supported by a graduate degree in a related field. Familiarity with quantum computing frameworks such as Qiskit or Cirq, and experience with conventional ML libraries like TensorFlow or PyTorch are typically expected. Strong problem-solving abilities, effective communication, and a collaborative mindset help professionals stand out. Mastery of these skills and qualities is essential for tackling complex interdisciplinary challenges and driving innovation in this rapidly evolving field.

Is quantum machine learning a good career?

Quantum machine learning is an emerging field combining quantum computing and machine learning, with growing research and industry interest. Careers in this area typically require strong backgrounds in quantum physics, computer science, and programming skills, often involving specialized tools like quantum algorithms and hardware. As the field develops, demand for experts is expected to increase, making it a promising career path for those with relevant expertise.

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The top searched job categories for Quantum Machine Learning jobs in California are:

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Quantum Machine Learning jobs near you
Infographic showing various Quantum Machine Learning job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $42,026 per year, or $20.2 per hour.

Product Manager, AI for Quantum

Santa Clara, CA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

Full-time

Posted 18 days ago

Key responsibilities

  • Define and refine product strategies, roadmaps, and go-to-market plans for NVIDIA's AI for Quantum platform and initiatives

  • Collaborate with research, engineering, and product teams to build AI models, tools, APIs, libraries, and workflows for quantum computing

  • Engage with quantum hardware partners, research institutions, and developers to identify high-value AI applications in quantum system design, control, calibration, characterization, error correction, and algorithm development

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

We're looking for a passionate product leader to drive NVIDIA's AI for Quantum strategy and platform. AI is rapidly emerging as a critical technology for advancing quantum computing, and this role sits their intersection, requiring the ability to translate advances in AI and quantum research into scalable platforms, developer experiences, and solutions for the quantum ecosystem. If you want to promote the adoption of groundbreaking technologies and make a difference in a fun, dynamic work environment, we want you to join us!

What you'll be doing:

  • Defining and continuously refining product strategies, roadmaps, and go-to-market plans for NVIDIA's AI for Quantum platform and initiatives

  • Collaborating with research, engineering, and product teams both across and outside NVIDIA to build the crucial AI models, tools, APIs, libraries, and workflows needed to accelerate quantum computing

  • Engaging with quantum hardware partners, research institutions, and developers to identify high-value applications of AI across quantum system design, control, calibration, characterization, error correction, and algorithm development

  • Evangelizing and fostering NVIDIA's accelerated computing and AI platform within the ecosystem through technical presentations, whitepapers, conference talks, and direct engagement

  • Identifying untapped opportunities at the intersection of AI, HPC, and quantum to expand NVIDIA's value proposition and establish new product opportunities

  • Presenting technical product vision and strategy updates to executive leadership

What we need to see:

  • Master's degree in Physics, Computer Science, Mathematics, Engineering, or related technical field, or equivalent experience (PhD preferred)

  • 8+ years of proven experience in AI, accelerated computing, quantum computing, or related technologies, with strong working knowledge of modern AI methods and the quantum computing ecosystem

  • Understanding of how machine learning and AI techniques can be applied to scientific and engineering problems, with the ability to evaluate emerging AI-for-quantum use cases and technologies

  • World-class communication skills with a demonstrated ability to articulate value propositions to both technical and non-technical audiences

  • Strong abilities to set task-level goals, develop creative solutions to sophisticated problems, and identify untapped opportunities

Ways to stand out from the crowd:

  • Deep familiarity with AI and quantum computing research, particularly applications of AI to quantum hardware design, device modeling, control, calibration, characterization, error correction, or quantum algorithm development

  • Experience with GPUs, CUDA, CUDA Libraries, or NVIDIA AI software and frameworks

  • Technical expertise in specific quantum modalities (superconducting qubits, trapped ions, neutral atoms, photonic systems) and an understanding of the challenges involved in scaling quantum hardware

  • Prior product management experience in AI platforms, developer platforms, SDKs, scientific computing, or hardware-software integration bringing research innovations to production

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people in the world working for us and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 6, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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