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Quantum Computing Engineer Jobs in California (NOW HIRING)

SLB

High Performance Computing Engineer

Sunnyvale, CA · On-site

Utilize quantum computing hardware (quantum annealers, gate model devices) and quantum-inspired ... Collaborate with data scientists, software engineers, and domain experts to identify requirements ...

Atom Computing

Quantum Software Manager

Berkeley, CA · On-site

$200K - $250K/yr

Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing. Atom Computing is seeking a Quantum Software Manager to drive ...

Atom Computing, Inc.

Quantum Software Manager

Berkeley, CA · On-site

$200K - $250K/yr

Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing. Atom Computing is seeking a Quantum Software Manager to drive ...

Atom Computing

Quantum Software Manager

Berkeley, CA

$200K - $250K/yr

Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing. Atom Computing is seeking a Quantum Software Manager to drive ...

Atom Computing

Quantum Software Manager

Berkeley, CA · On-site

$200K - $250K/yr

Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing. Atom Computing is seeking a Quantum Software Manager to drive ...

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Quantum Computing Engineer information

What is a quantum computing engineer?

A Quantum Computing Engineer is a professional who designs, develops, and optimizes quantum computer systems and algorithms. They work on both the hardware and software aspects of quantum computers, aiming to harness quantum mechanics principles to solve complex computational problems. Their work often involves collaborating with physicists, computer scientists, and mathematicians to create new quantum technologies and applications. Quantum Computing Engineers play a key role in advancing fields like cryptography, material science, and machine learning.

What are the key skills and qualifications needed to thrive as a quantum computing engineer?

To thrive as a Quantum Computing Engineer, you need a strong background in quantum mechanics, computer science, mathematics, and typically a graduate degree in a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), quantum hardware platforms, and simulation tools is essential, and certifications in quantum technologies are increasingly valuable. Critical thinking, problem-solving, and effective communication are important soft skills, enabling collaboration and innovation in interdisciplinary teams. These competencies are crucial for advancing quantum computing research and developing practical quantum solutions to complex problems.

What are some common challenges quantum computing engineers face when developing algorithms for quantum hardware?

Quantum Computing Engineers often encounter challenges related to the instability and error rates of current quantum hardware, which can affect the reliability of algorithm results. Additionally, translating classical algorithms into quantum circuits requires a deep understanding of both quantum theory and complex optimization techniques. Collaboration with physicists and hardware engineers is essential to troubleshoot issues and adapt algorithms to the unique constraints of each quantum platform. Staying updated with rapid technological advancements is also crucial for success in this evolving field.

What is the difference between Quantum Computing Engineer vs Quantum Software Developer?

AspectQuantum Computing EngineerQuantum Software Developer
Required CredentialsBachelor's or Master's in Physics, Computer Science, or Electrical Engineering; knowledge of quantum mechanicsBachelor's or Master's in Computer Science, Software Engineering, or related fields; programming skills in quantum languages
Work EnvironmentResearch labs, tech companies, academia; hardware and software focusSoftware development teams, tech firms; coding and algorithm design
Employer & Industry UsageQuantum hardware companies, research institutions, tech giantsTech companies, startups, research labs focusing on quantum algorithms

While both roles involve quantum technologies, Quantum Computing Engineers focus on hardware integration and system design, whereas Quantum Software Developers primarily work on creating algorithms and software for quantum computers. The roles often overlap but differ in their core focus areas within the quantum industry.

Are quantum computing engineers in demand?

Quantum computing engineers are in high demand due to the growing investment in quantum technologies and the need for specialized skills in quantum algorithms, hardware, and software development. The field is expanding rapidly, with opportunities in research institutions, tech companies, and startups focusing on quantum hardware, software, and applications.

What are the most commonly searched types of Quantum Computing Engineer jobs in California?

The most popular types of Quantum Computing Engineer jobs in California are:

What are popular job titles related to Quantum Computing Engineer jobs in California?

For Quantum Computing Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Quantum Computing Engineer jobs in California look for?

The top searched job categories for Quantum Computing Engineer jobs in California are:

What cities in California are hiring for Quantum Computing Engineer jobs?

Cities in California with the most Quantum Computing Engineer job openings:

Quantum Computing Engineer jobs near you
Infographic showing various Quantum Computing Engineer job openings in California as of September 2026, with employment types broken down into 1% Internship, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

High Performance Computing Engineer

Sunnyvale, CA • On-site

Onesubsea
See more jobs at Onesubseaexternal

Other

Posted 8 days ago

Job description

We are seeking a highly skilled High Performance Computing (HPC) Engineer with a strong background in modeling and solving complex discrete optimization problems. The ideal candidate will demonstrate deep expertise in operations research, advanced mathematical programming, and quantum computing technologies. Your solutions will address challenges such as scheduling, logistics, resource allocation, object placement, bin packing and inversion for large, data-driven systems demanding exceptional performance and precision.

Key Responsibilities
  • Design, implement, and optimize algorithms to solve large-scale discrete optimization problems, including scheduling, logistics, resource allocation, object placement, bin packing and inversion.
  • Apply advanced operations research techniques using linear programming, quadratic programming, and combinatorial optimization.
  • Develop and deploy heuristic and metaheuristic approaches (e.g., simulated annealing, genetic algorithms, Tabu search) for intractable or non-convex problems.
  • Leverage high-performance computing environments to scale and accelerate problem-solving, including multi-core, distributed, and cloud architectures.
  • Utilize quantum computing hardware (quantum annealers, gate model devices) and quantum-inspired technologies for problem modeling, algorithm implementation, and performance benchmarking.
  • Collaborate with data scientists, software engineers, and domain experts to identify requirements, formulate models, and integrate solutions into operational workflows.
  • Conduct performance analysis, benchmarking, and continuous improvement of optimization solvers and pipelines.
  • Stay abreast of emerging trends in quantum computing, operations research, and HPC to ensure the use of cutting-edge techniques.
Required Qualifications
  • Advanced degree (MS/PhD) in Computer Science, Operations Research, Applied Mathematics, Physics, Engineering, or related fields.
  • Proven experience (3+ years preferred) tackling discrete optimization problems at scale, with a portfolio demonstrating end-to-end model implementation and solution.
  • Hands‑on expertise in linear and quadratic programming, solver technologies (CPLEX, Gurobi, or equivalent).
  • Proficiency with heuristic/metaheuristic optimization techniques (simulated annealing, genetic algorithms, Tabu search, etc.).
  • Demonstrated experience with quantum computing technologies: quantum annealing (e.g., D‑Wave), gate model platforms (e.g., IBM Qiskit, Google Cirq), and/or quantum-inspired optimization solvers.
  • Ability to work in high performance/distributed computing environments (HPC clusters, parallel programming, large-scale simulation).
  • Proficiency with programming languages such as Python, C++, or Julia, and relevant scientific computing libraries.
  • Excellent analytical, problem‑solving, and communication skills; able to translate business needs into technical requirements.
Preferred Qualifications
  • Experience developing cross-platform optimization packages and APIs.
  • Familiarity with hybrid quantum-classical workflows.
  • Published research or open-source contributions in optimization or quantum computing fields.
  • Experience in domain-specific optimization (supply chain, logistics, manufacturing).
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