Lead engineering of core scheduling and orchestration subsystems for an orbital edge compute platform. Own an MVP for autonomous scheduling across compute node fleets, scale to larger satellite fleets with data sovereignty, design performant and reliable distributed engines, build scheduling and workload-placement logic for intermittent-connectivity edge environments, and provide technical leadership while partnering with cross-functional teams to deliver secure, customer-focused solutions.
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
- 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
Similar Jobs
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Lead strategy, roadmap, and execution for Coursera's authoring and content production tools. Define product requirements, collaborate cross-functionally (Engineering, Design, Data Science, Research, Content, Marketing, Support), monitor production/ingestion metrics, and drive AI-enabled authoring innovations to scale high-quality, career-aligned content.
Top Skills:
Adaptive LearningAi/MlAutomated Quality AssuranceContent Authoring ToolsData AnalyticsGenerative AiHypothesis TestingMultimodal Media ProcessingPersonalizationTranslation Technology
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Lead strategy, engineering, and lifecycle management for enterprise directory and machine identity platforms. Own Active Directory, Entra ID, PKI/CLM (e.g., Venafi), HSMs, hybrid identity integrations, automation/IaC, resilience, and governance while driving platform roadmaps, modernizations, and cross-functional IAM collaboration.
Top Skills:
Active DirectoryAPIsAzureCertificate Lifecycle ManagementDevsecopsDnsEntra IdGroup PolicyHsmIdentity FederationIdentity SynchronizationInfrastructure As Code (Iac)Microsoft Entra IdPkiSaaSScriptingVenafi
Biotech
Drive new client acquisition and revenue through high-volume lead outreach, sales strategy, CRM pipeline management, client pitches, stakeholder engagement, pricing analysis, and cross-functional collaboration to meet sales targets.
Top Skills:
Ai ToolsCRM
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
