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Temp Ibm Quantum Machine Learning Jobs (NOW HIRING)

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 ...

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 ...

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Temp Ibm Quantum Machine Learning information

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How much do temp ibm quantum machine learning jobs pay per year?

As of Jun 24, 2026, the average yearly pay for temp ibm 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 most commonly searched types of Ibm Quantum Machine Learning jobs? The most popular types of Ibm Quantum Machine Learning jobs are:
Infographic showing various Temp Ibm Quantum Machine Learning job openings in the United States as of June 2026, with employment types broken down into 10% Full Time, 80% Part Time, and 10% Nights. Highlights an 98% Physical, 1% Hybrid, and 1% 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 19 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.