Platform Engineer, Onboard Compute
Full-time
Muon Space
Responsibilities
- Maintain and evolve FPGA and GPU build flows, test environments, and delivery and integration pipelines to produce reproducible, reliable, and fast lab-ready artifacts.
- Own synthesis, simulation, cross-compilation, and containerized toolchain environments and keep them current, documented, and consistent.
- Reduce mission-to-mission variation and promote reusable shared components across a growing portfolio of missions.
- Align delivery methods and planning methods as the team and mission portfolio grow.
- Own the team roadmap in Jira and provide accurate dashboards, snapshot reporting, progress tracking, priority visibility, and resource utilization reporting.
- Partner with technical leads and engineers to estimate incoming mission work and requests from other teams.
- Establish planning-accuracy metrics and improve estimation quality.
- Publish weekly reports covering team health, successes, risks, opportunities, blockers, and highlights for internal and cross-company audiences.
- Serve as the source of truth for status, progress, and Jira reporting for the Onboard Compute organization.
- Own the team’s Confluence space and support engineers in contributing accurate content.
- Partner with engineering managers to maintain onboarding, training, tooling, build-flow, and platform documentation.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
- At least three 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 or release pipelines.
- Experience owning or significantly contributing to build systems, test environments, and integration pipelines for embedded or hardware-adjacent codebases.
- Experience managing variation and complexity across multiple products, missions, or configurations through shared components, reference flows, or platform contracts.
- Ability to script automation for toolchains, pipeline orchestration, and report generation.
- Fluency with Jira, including epics, stories, dashboards, JQL, and reporting, as well as Confluence.
- Ability to lead estimation and planning discussions and translate technical work into roadmaps and reports for non-engineering stakeholders.
- Excellent written and verbal communication skills.
- Experience with FPGA build flows such as Vivado or Quartus and/or GPU cross-compilation for embedded platforms such as NVIDIA Jetson or NVIDIA IGX is preferred.
- Experience with shared platforms, product lines, reference designs, hardware-in-the-loop test automation, lab-bench regression infrastructure, containerization, development pipeline tooling, or mission-critical engineering environments is preferred.
Benefits
- Hybrid work arrangement requiring on-site work in the San Jose, California office three days per week.
- Medical, dental, and vision insurance.
- 401(k) retirement plan.
- Short- and long-term disability and life insurance.
- Three weeks of paid vacation for new employees.
- 12 paid holidays, unlimited sick time, and paid parental leave.
- Equity compensation and comprehensive benefits package.
Vacancy posted more than 2 months ago
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