Payload Processing Software Engineer, Project Sunrise
About The Position
This role is part of Blue Origin’s Advanced Concepts and Enterprise Engineering (ACE) organization and supports Project Sunrise, a satellite constellation of orbital data centers. The engineer will own the payload processing runtime that powers in-space computing, integrating and optimizing parallel computing frameworks while building reliable mechanisms to maintain job state across intermittent satellite contact windows. The position focuses on developing a resilient, high-performance platform for diverse computational workloads on orbital hardware. The engineer will architect the onboard runtime, create checkpointing and state-persistence systems, coordinate job submission and results-delivery interfaces with the compute orchestration team, and build benchmarks to assess workload performance and power tradeoffs.
Requirements
- Bachelor of Science in Computer Science, Computer Engineering, or a related field.
- At least 6 years of experience in high-performance computing (HPC), distributed systems engineering, or accelerator-focused software development.
- Direct, hands-on experience deploying and optimizing demanding, data-intensive applications on large-scale accelerated computing systems.
- Strong understanding of accelerator architecture (such as GPUs), utilization metrics, memory bandwidth management, and parallel programming models.
- Solid grasp of distributed systems fundamentals, particularly fault tolerance, consensus, and state management in environments with intermittent connectivity.
- Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Nice To Haves
- Master’s or Ph.D. in a relevant discipline.
- At least 10 years of relevant experience.
- Deep experience with low-level performance tuning and optimization of accelerator kernels.
- Proven ability to design and build complex, stateful, and resilient distributed systems.
- Experience with containerization and orchestration technologies in a production environment.
- Passion for and understanding of AI and Machine Learning applications in engineering, with a demonstrated ability to learn and integrate new technologies.
Responsibilities
- Own the architecture and implementation of the onboard payload processing runtime for diverse, high-performance computational workloads.
- Integrate, configure, and optimize accelerator compute frameworks and libraries, including defining workload optimization strategies for orbital hardware.
- Design and write core system code for robust workload checkpointing and state persistence that handles planned and unplanned connectivity interruptions.
- Define the API contract for job submission and results delivery in collaboration with the compute orchestration team, including schemas, latency SLAs, and error-handling semantics.
- Develop and maintain a performance benchmark suite on reference hardware to characterize throughput, latency, and power tradeoffs for representative workloads.
Benefits
- Medical, dental, and vision insurance.
- Basic and supplemental life insurance.
- Paid parental leave.
- Short- and long-term disability coverage.
- 401(k) with company match of up to 5%.
- Education Support Program.
- Stock options for regular employees working at least 20 hours per week.
- Paid time off of up to four weeks per year based on weekly scheduled hours.
- Up to 14 company-paid holidays.
- Depending on role type and job level, possible benefits and bonuses based on individual contributions or company results; eligibility and amounts are not guaranteed.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
