GPU Software Specialist, Onboard Compute

The posting, as Muon Space wrote it

About the role

Muon Space is seeking a GPU Engineer to join our High Performance Compute (HPC) team. You will design and develop GPU-accelerated software that runs onboard orbiting satellites, powering mission-critical workloads such as Earth-imaging sensor processing, RF signal analysis, and onboard AI/ML inference.

On our satellites, GPUs will support mission-critical functions including Earth imaging sensor analysis, radio signal analysis, and high-performance onboard compute acceleration. You'll work across the full development lifecycle: feasibility, concept, architecture, design, implementation, verification, lab qualification, and deployment to flight, collaborating closely with FPGA engineers, flight software, payload and system hardware, and mission operations teams.

This position is hybrid and requires working on-site in our San Jose, CA office three days per week.

Responsibilities

• Design and implement GPU compute kernels (e.g. CUDA) for onboard image processing, radio signal processing, and ML inference workloads.
• Architect end-to-end GPU pipelines that ingest live sensor data (optical and radio), process it on GPU, and hand results off to downlink or CPU-based decision-making subsystems.
• Partner with internal and external customers to transform their algorithmic needs and inference models into efficient, flight-ready implementations on our GPU platform, including porting, adapting, and optimizing the code, models, and reference algorithms for on-orbit execution under real-time and power constraints.
• Profile and optimize GPU workloads; tune occupancy, kernel launch configurations, and memory access patterns to meet real-time deadlines under strict power budgets.
• Own verification and validation of GPU software, including unit tests, system-level tests, and hardware-in-the-loop tests for GPU software.
• Define, evolve and own the GPU build and CI/CD environment, including cross-compilation toolchains for embedded targets and containerized builds.
• Collaborate with flight software, FPGA, and payload and system hardware engineers on interfaces, data formats, and timing budgets between GPU compute blocks and the rest of the spacecraft.
• Translate mission and payload requirements into robust, well-documented designs, trade studies, and interface documentation.

Required Qualifications

• Bachelor's or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Math, or a related technical field, plus 3+ years of professional experience developing GPU-accelerated software.
• Strong proficiency in C/C++ or Rust, and Python, with deep familiarity with memory management, concurrency, and performance-oriented programming in production systems.
• Demonstrated production experience shipping GPU-accelerated software using one or more of CUDA, OpenCL, HIP, or similar.
• Deep working knowledge of GPU architecture including SIMT execution, shared vs. global memory hierarchies, memory access

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aking Care of Our Team

At Muon salary is only part of our total compensation package. In addition to salary, full-time employees receive equity compensation as well as benefits including medical, dental, and vision insurance, a 401k retirement plan, short & long term disability and life insurance. We also offer three weeks paid vacation for new employees, along with 12 paid holidays, unlimited sick time and paid parental leave.

Our mission embraces the entire planet and we believe our team should too. Muon is dedicated to creating a diverse and dynamic company and workforce. We believe in equal employment opportunity regardless of race, color, ancestry, religion, sex, age, national origin, citizenship, sexual orientation, marital status, disability, or gender identity. We value diversity in the workplace, and that starts with our applicants. We encourage you to apply, even if you don't check all the boxes, and we look forward to reviewing your application! In addition, if you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know.

Muon is currently registered and able to hire in the following states:
AL, AZ, CA, CO, CT, DC, FL, GA, IL, IA, ID, MD, MA, MI, MN, MO, NJ, NY, NC, OH, OR, PA, TN, TX, VT, VA, WA

ITAR/EAR Requirements

This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. The Company may, for legitimate business reasons, decline to pursue any export licensing process.