GPU Software Specialist, Onboard Compute
Muon Space · San Jose, CA
Posted about a month ago · $156,000 - $186,000
or apply directly on Muon Space's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 30 days Muon Space's roles stay open a median of 40 days
- Reposted
- No
- Salary listed
- Yes 88% of Muon Space's roles list one
- Ghost-job risk at Muon Space
- high 43 stale, 2 reposted of 115 open
- Hiring momentum
- 131 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Muon Space's own greenhouse board since 2026-08-03. Full hiring picture for Muon Space.
About this role
The GPU Software Specialist at Muon Space will design and develop GPU-accelerated software for onboard satellites, focusing on mission-critical tasks such as Earth imaging and RF signal analysis. The role involves working throughout the software development lifecycle, collaborating with various engineering teams to ensure efficient implementation and optimization of GPU workloads. This position requires a hybrid work arrangement, with three days on-site in San Jose, CA.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Muon Space as an employer.
What you need
- Bachelor's or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, Applied Math, or a related technical field
- 3+ years of professional experience developing GPU-accelerated software
- Strong proficiency in C/C++ or Rust, and Python
- Demonstrated production experience shipping GPU-accelerated software using CUDA, OpenCL, HIP, or similar
- Deep working knowledge of GPU architecture
- Proven experience developing and debugging on embedded Linux
Nice to have
- Production experience with raw image or radio signal processing on GPUs
- Experience deploying ML inference on GPUs
- Hands-on experience with DSP/RF workloads on GPUs
- Experience defining and operating CI/CD for embedded software
- Direct exposure to space, aerospace, or other mission-critical software environments
What you get
- Salary range of $156,000 - $186,000
- Competitive equity grant
- Comprehensive benefits package including medical, dental, and vision insurance
- 401k retirement plan
- Short & long term disability and life insurance
- Three weeks paid vacation for new employees
Worth weighing
- Hybrid work model requires three days on-site in San Jose, CA
- Active U.S. security clearance is a plus but not mandatory
- Role involves working with mission-critical software in a high-stakes environment
Summarised from Muon Space's posting. Read the full original.
Listed by Muon Space on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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