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Quantum Machine Learning Jobs in California (NOW HIRING)

Amazon

Machinist, Quantum Computing

Pasadena, CA · On-site

$23.75 - $32.50/hr

In this role, you will support the CNC machine shop with parts production and day-to-day shop ... The ideal candidate demonstrates a strong commitment to continuous learning and professional growth ...

Amazon

Machinist, Quantum Computing

Pasadena, CA

$23.75 - $32.50/hr

In this role, you will support the CNC machine shop with parts production and day-to-day shop ... The ideal candidate demonstrates a strong commitment to continuous learning and professional growth ...

Amazon

Machinist, Quantum Computing

Pasadena, CA · On-site

$23.75 - $32.50/hr

In this role, you will support the CNC machine shop with parts production and day-to-day shop ... The ideal candidate demonstrates a strong commitment to continuous learning and professional growth ...

LLNL

Machine Learning Physics Graduate Student

Livermore, CA · On-site

$6.7K - $8.2K/mo

... quantum simulations. * Explore the use of machine learning methods to discover and evolve PDEs for ... phase field and phase field crystal models. * Analyze results, provide weekly updates and present ...

PsiQuantum

Intern, Quantum Architecture

Brisbane, CA

$27.50/hr

PsiQuantum's mission is to build the first useful quantum computers-machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has ...

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All JobsQuantum Machine Learning JobsQuantum Machine Learning Jobs in California

Quantum Machine Learning information

See California salary details

$25.2K

$42K

$86.8K

How much do quantum machine learning jobs pay per year?

As of Jul 4, 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.

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.

Which 3 jobs will survive AI?

Quantum machine learning professionals, data scientists, and software engineers are likely to continue thriving as AI advances, due to their specialized skills in developing, understanding, and managing complex algorithms and quantum computing tools. These roles require critical thinking, domain expertise, and adaptability to evolving technologies, making them less susceptible to automation. Continuous learning and certification in AI and quantum technologies can further enhance job security in these fields.

What are the key skills and qualifications needed to thrive in the Quantum Machine Learning position, and why are they important?

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.

What types of projects or problems does a Quantum Machine Learning professional typically work on?

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 is the salary of quantum machine learning?

Salaries for quantum machine learning professionals vary based on experience, education, and location, but typically range from $80,000 to over $150,000 annually. Entry-level roles may start lower, while experienced researchers or specialists with advanced skills in quantum computing and machine learning can earn higher salaries. Many positions also offer benefits such as research funding and access to cutting-edge technology.

What is a Quantum Machine Learning job?

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.

Is Q-Ctrl a real company?

Q-Ctrl is a real company that specializes in quantum control solutions and software for quantum computing. It provides tools and expertise to help improve qubit performance and error correction in quantum systems, which can be relevant for professionals in quantum machine learning roles.
What are popular job titles related to Quantum Machine Learning jobs in California? For Quantum Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Quantum Machine Learning jobs in California look for? The top searched job categories for Quantum Machine Learning jobs in California are:
What cities in California are hiring for Quantum Machine Learning jobs? Cities in California with the most Quantum Machine Learning job openings:
Quantum Machine Learning jobs near you
Infographic showing various Quantum Machine Learning job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $42,026 per year, or $20.2 per hour.
Senior Quantum Computing Libraries Engineer

Senior Quantum Computing Libraries Engineer

NVIDIA

Santa Clara, CA • On-site

$143K - $189K/yr

Full-time

Posted 11 days ago

Job description

Job Summary:
NVIDIA is a leader in accelerated computing, and they are seeking a Senior Quantum Computing Libraries Engineer to develop and optimize software for quantum computing and simulations. The role involves researching GPU accelerated algorithms, collaborating with various teams, and providing technical leadership.
Responsibilities:
• Researching and developing and optimizing GPU accelerated algorithms across multiple hardware generations
• Develop innovative HPC algorithms to scale quantum circuit simulations
• Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, HPC technologies, and machine learning
• Interacting with external partners and researchers to understand their use cases and requirements
• Providing technical leadership and guidance to other engineers
• Analyzing the performance of GPU, CPU, multi-GPU/multi-node implementations, finding opportunities for algorithmic or implementation-based improvements
Qualifications:
Required:
• Excellent C++ and Python programming and software design skills, including functional and performance test design
• Experience programming for GPUs, in a multi-threading and multi-node MPI programming model, and expertise in hardware-aware optimization
• Experience with agentic coding tools
• Demonstrated ability developing scientific software used in quantum simulations (e.g., circuit simulators, compilers, hybrid-computing)
• PhD or MSc degree in Computer Science, Applied Math, Physics, or related science or engineering field (or equivalent experience)
• 8+ years of experience
• Strong collaboration, communication, and documentation skills
Preferred:
• Experience using one or more quantum computing and deep learning frameworks (e.g., Qiskit, Cirq, Pennylane, TNQVM, TensorFlow, PyTorch)
• Proven experience with HPC technologies and communication algorithms
• Expertise in numerical methods, Hamiltonian integrals, quantum simulation techniques
• Experience working in an agile software development environment within a globally distributed organization
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
Nvidia logo

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

Year founded

1993

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