The Staff Software Engineer will lead the development of core scheduling and orchestration subsystems for an orbital compute platform. They will design and scale a distributed computing engine while partnering with cross-functional teams to ensure performance, reliability, and security.
Seeking a Staff Software Engineer, Distributed Systems and Orchestration to serve as the lead engineer on the core scheduling and orchestration subsystems of our Orbital Compute platform. In this role, the successful candidate will own the product and engineering of an MVP for autonomous scheduling across a fleet of compute nodes, combining lessons learned from early proofs of concept, and will scale that MVP from a handful of satellites to larger fleets with data sovereignty as a core product feature. Operating in a fast-paced environment characterized by rapid iteration and significant ambiguity, the successful candidate will build a distributed computing engine with performance, reliability, and security as fundamental building blocks, partnering closely with software, hardware, security, and systems engineers to deliver secure, reliable products.
KEY DUTIES & RESPONSIBILITIES
Serve as lead engineer for the core scheduling and orchestration subsystems of Compute platform
Own the product and engineering of an MVP for autonomous scheduling across a fleet of compute nodes, incorporating lessons learned from early proofs of concept (POCs)
Scale the MVP from a handful of satellites to larger fleets, incorporating data sovereignty as a core product feature
Design and build a distributed computing engine with performance, reliability, and security as fundamental building blocks
Build scheduling, orchestration, and workload-placement logic for edge computing environments, accounting for intermittent or disconnected connectivity, limited resources, and autonomous operation
Partner with software, hardware, security, and systems engineers to deliver customer-focused solutions, balancing best practices with time-to-market
Provide technical leadership and mentorship, and give and receive productive feedback during collaboration and in design and code reviews
Deliver iteratively and quickly in a fast-paced environment with significant ambiguity
Perform additional job duties as assigned
QUALIFICATIONS
Education & Experience
Bachelor of Science in Computer Science, Computer Engineering, or another related technical discipline, or equivalent professional experience
[8]+ years of professional software development experience, with strong proficiency in a systems language such as Go, Rust, C++, or Java
Deep experience designing, building, and operating distributed systems at scale
Experience with scheduling, orchestration, or resource-management systems (e.g., Kubernetes, Nomad, or custom orchestrators)
Demonstrated experience taking products from MVP or proof of concept to production scale
Experience engineering for performance, reliability, and fault tolerance in distributed environments
Experience with git distro (such as GitLab) and CI/CD tools
Prefer experience treating security and/or data sovereignty as core product requirements
Prefer experience with autonomous, self-managing, or self-healing systems
Track record of making things happen in ambiguous, fast-moving environments
Uses good judgement to problem-solve proactively, positively impacting hard challenges
Demonstrated organization skills to meet tight deadlines with high quality results
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