Platform Engineer, Onboard Compute

Socket.dev

San Jose (CA)

On-site

USD 156,000 - 186,000

Full time

4 days ago
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Job summary

Mu on Space is seeking a Platform Engineer to own the shared technical foundation for the HPC team. You will manage build flows, test environments, and delivery pipelines for FPGA and GPU code, while keeping the platform coherent across missions.

You will own planning and reporting, maintain onboarding materials, and drive cross-team collaboration. This is a hybrid role requiring on-site work in San Jose, CA three days a week.

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, plus 3+ years of professional engineering experience.
  • Hands-on development experience with FPGA and/or GPU workflows, including synthesis or compilation toolchains, simulation or profiling environments, and build/release pipelines.
  • Direct experience on both FPGA and GPU is a strong plus; willingness to learn the other is acceptable.
  • Experience owning or significantly contributing to build systems, test environments, and integration pipelines for embedded or hardware-adjacent codebases.
  • Demonstrated ability to manage variation and complexity across multiple products, missions, or configurations, by defining shared components, reference flows, or platform contracts.
  • Comfort scripting to automate toolchains, orchestrate pipelines, and generate reports.
  • Fluency with Jira (epic/story structure, dashboards, JQL, reporting) and Confluence.
  • Ability to drive estimation and planning discussions and translate technical work into clear roadmaps and reports.

Responsibilities

  • Maintain and evolve the technical build flows, test environments, and delivery and integration pipelines for FPGA and GPU code.
  • Own the toolchain environments (synthesis, simulation, cross-compilation, containerized builds) and keep them up-to-date and well-documented.
  • Manage the complexity of delivering into a growing portfolio of missions while promoting shared components.
  • Operate at the intersection of delivery methods and planning methods and ensure they evolve together.
  • Own the team's Jira roadmap and enable on-demand snapshot reporting for progress, priorities, and resource utilization.
  • Publish weekly reports on the team's state of health for internal and cross-company audiences.

Skills

FPGA workflows
GPU workflows
Scripting
Delivery planning & reporting
Jira dashboards
Written and verbal communication

Education

Bachelor's degree in Computer Science/Engineering

Tools

Vivado
Quartus
Containerized builds
Synthesis/simulation toolchains

Job description

About the role

Muon Space is looking for a Platform Engineer to own the shared technical foundation of our High Performance Compute (HPC) team. This is an engineering-track, individual-contributor role. You'll own the build flows, test environments, and delivery pipelines that turn FPGA and GPU engineering output into flight-ready artifacts, and the planning and reporting rhythm that keeps the team predictable across a growing portfolio of missions. As Muon takes on more missions with more varied compute needs, your job is to keep the platform coherent while maximizing reuse across missions, minimizing variations, and making sure our delivery methods and planning methods evolve together. This position is hybrid and requires working on-site in our San Jose, CA office three days per week.

Responsibilities

Platform, Build & Delivery

  • Maintain and evolve the technical build flows, test environments, and delivery and integration pipelines for both FPGA and GPU code, ensuring reproducible, reliable, and fast turnaround from commit to lab-ready artifact.
  • Own the toolchain environments (synthesis, simulation, cross-compilation, containerized builds) and keep them up-to-date, documented, and consistent across engineers.
  • Manage the complexity of delivering into a growing variety of future missions, actively working to keep mission-to-mission variations as small as possible, and promoting shared components.

Planning, Delivery & the Intersection Between Them

  • Operate at the intersection of delivery methods and planning methods, ensuring the way we plan reflects how we actually build and deliver, and that both evolve together as the team and mission portfolio grow.
  • Own the team's roadmap in Jira: keep it accurate and trackable at all times; enable on-demand snapshot reporting that shows progress, priorities, and resource utilization.
  • Partner with tech leads and engineers to estimate incoming work packages for upcoming missions and inbound requests from other teams and departments.
  • Establish and track planning-accuracy metrics and use them to improve estimation quality.
  • Publish weekly reports on the team's state of health: successes, risks, opportunities, blockers, and highlights: for team-internal and cross-company audiences and be the single source of truth for status, progress, and Jira reporting for the Onboard Compute organization.

Knowledge & Enablement

  • Own the team's Confluence space: keep it representative of the team's actual work and focus, and support engineers in contributing content.
  • Partner with the engineering managers to maintain a comprehensive set of onboarding and training material, including tooling, build-flow, and platform documentation.
Required Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, plus 3+ years of professional engineering experience.
  • Hands-on development experience with FPGA and/or GPU workflows, including synthesis or compilation toolchains, simulation or profiling environments, and build/release pipelines.
  • Direct experience on both is a strong plus; deep experience on one plus willingness to learn the other is acceptable.
  • Experience owning or significantly contributing to build systems, test environments, and integration pipelines for embedded or hardware-adjacent codebases.
  • Demonstrated ability to manage variation and complexity across multiple products, missions, or configurations, for example by defining shared components, reference flows, or platform contracts that reduce one-off work.
  • Comfort scripting to automate toolchains, orchestrate pipelines, and generate reports.
  • Demonstrated fluency with Jira (structuring epics/stories, dashboards, JQL, reporting) and Confluence.
  • Proven ability to drive estimation and planning discussions with engineers, and to translate technical work into clear roadmaps and reports for non-engineering stakeholders.
  • Excellent written and verbal communication skills, with a talent for making complex work legible to executives, adjacent teams, and new hires.
Nice-to-Have Skills
  • Prior role as a Platform, Engineering Productivity, Developer Experience, DevOps, or Build/Release engineer supporting an FPGA, embedded, or GPU team.
  • Hands-on experience with FPGA build flows (Vivado, Quartus, or similar) and/or GPU cross-compilation for embedded platforms (e.g., NVIDIA Jetson/IGX-class).
  • Experience managing a shared platform, product line, or reference design across multiple downstream consumers or missions.
  • Experience with hardware-in-the-loop test automation and lab-bench regression infrastructure.
  • Familiarity with containerization and development pipeline tooling.
  • Prior exposure to space, aerospace, or other mission-critical engineering environments.
Salary

The salary range for this role is $156,000 - $186,000 , plus a competitive equity grant and comprehensive benefits package. Final compensation will be determined based on skills, qualifications, experience, and geographic location as assessed during the interview process.

About Muon Space

Founded in 2021, Muon Space is an end-to-end Space Systems Provider that designs, builds, and operates LEO satellite constellations delivering mission-critical data. Our revolutionary, integrated technology stack enables customers to optimize every dimension of their missions for faster time-to-orbit and superior constellation remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is optimized for manufacturing spacecraft and rapid, flexible payload integration at scale. From climate monitoring to national security, Muon Space is dedicated to delivering Earth Intelligence for a safer and more resilient world.

Taking 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.

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.

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