Senior Staff Software Engineer - HPC Integration

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.
• At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by f

Benefits

Additional Information

About IonQ: IonQ, Inc . [NYSE: IONQ] is the world's leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ's newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance . Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before. 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.

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