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Quantum Machine Learning Jobs (NOW HIRING)

QCi

Senior Engineer, Quantum Algorithms

Hoboken, NJ · On-site

Design and implement novel algorithms that map optimization and machine-learning problems onto entropy-based photonic quantum processors, including post-processing pipelines. * Build software layers ...

QCi

Design and implement novel algorithms that map optimization and machine-learning problems onto entropy-based photonic quantum processors, including post-processing pipelines. * Build software layers ...

Visa

Staff Research Scientist

Foster City, CA · On-site

$169K/yr

The ideal candidate will focus on conducting advanced research in one or more subfields, for example, quantum error correction, quantum optimization, quantum simulation, quantum machine learning ...

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Quantum Machine Learning information

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$25.5K

$42.6K

$88K

How much do quantum machine learning jobs pay per year?

As of Jun 27, 2026, the average yearly pay for quantum machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

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 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.

More about Quantum Machine Learning jobs
What cities are hiring for Quantum Machine Learning jobs? Cities with the most Quantum Machine Learning job openings:
What states have the most Quantum Machine Learning jobs? States with the most job openings for Quantum Machine Learning jobs include:
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Quantum Machine Learning jobs near you
Infographic showing various Quantum Machine Learning job openings in the United States 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 $42,584 per year, or $20.5 per hour.
Senior Staff Software Engineer - HPC Integration

Senior Staff Software Engineer - HPC Integration

IonQ

Bothell, WA

$187K - $245K/yr

Other

Posted 23 days ago

Job description

At scale, quantum computers will be integrated into classical datacenters - combining the unique strengths of CPUs, GPUs, and QPUs will help us solve the world's hardest problems. Today, we already use IonQ quantum computers in tandem with high-performance computer (HPC) clusters in applications like quantum machine learning and image analysis. As a Senior Staff Software Engineer leading our HPC integration, you'll help build and maintain our interfaces with SLURM and other open HPC stacks.

Responsibilities:

  • Lead the design and development of our HPC software stack integrations
  • Establish best practices for code development, quality assurance, documentation, and continuous integration and deployment
  • Lead and participate in code reviews
  • Effectively self-manage projects, priorities, deadlines, and deliverables; Identify, track and mitigate execution roadblocks and technical risks
  • Mentor junior staff members; we'll ultimately be building a team around you!
  • Help minimize overhead between classical and quantum resources through efficient scheduling and parallelization

You'd be a good fit with:

  • Bachelor's degree in Computer Science, IT or equivalent practical experience -- untraditional backgrounds are welcome and encouraged!
  • 13+ years experience in software engineering
  • 5+ years experience of open source contributions
  • 2+ years experience with Slurm or other HPC batch schedulers (LSF, PBS, GridEngine, etc.) and/or other HPC technologies
  • Familiarity with containerization technologies such as Docker and container orchestration platforms like Kubernetes or Microk8s
  • Familiarity with MPI or other multiprocessing schemes
  • Experience with workflow orchestration tools (Argo Workflows, Kubeflow)
  • Significant experience with system languages like C/C++ or Go, and advanced scripting in Python
  • Established experience in Linux operating system, environment, and tools

You'd be a great fit with:

  • 15+ years experience in software engineering
  • 10+ years experience of making open source contributions  
  • 5+ years in High Performance Compute cluster management
  • 2+ years experience as an open source project maintainer with an active community
  • Expert-level knowledge of Fortran and/or C
  • Familiarity with quantum software stacks like MQSS or OpenQSE
  • Familiarity with distributed computing frameworks like Ray or Dask
  • Experience with GPU programming models such as CUDA (or even better: CUDA Quantum)
  • Expert analysis skills in areas like statistical testing, modeling and general optimization
  • Knowledge of one or more domains of computational physics (PDEs, n-body, large-dimension integration, stochastic systems, ...)
  • Familiarity with common machine learning frameworks like PyTorch or TensorFlow
  • Exposure to quantum physics and/or quantum information science

Location: This is a hybrid role based at our headquarters in College Park, MD or at our Bothell, Washington facility.
Travel: 10%
Job ID: 1135

The approximate base salary range for this position is $187,358- $245,300. The total compensation package includes base, bonus, and equity.

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