Senior Staff Software Engineer - HPC Integration

IonQ•College Park, MD

5d•$187,358 - $245,300•Hybrid

About The Position

IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology. We are pushing past the limits of classical physics and current supercomputing technology to unlock a new era of computing. Quantum computing has the potential to impact every area of human society for the better. IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. IonQ is at the forefront of this technological revolution. 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.

Requirements

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

Nice To Haves

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

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