Payload Processing Software Engineer

BLUE ORIGIN

. Own the architecture and implementation of the on-board payload processing runtime for diverse, high-performance computational workloads .

Posted 10/12/2026full-timeUnited StatesMid-LevelSenior💰 $181,626 - $276,540 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in high-performance computing and distributed systems engineering, with a strong focus on accelerator architecture and optimization. Capable of designing resilient systems and integrating advanced technologies in AI and Machine Learning applications.

Highest-signal resume keywords

High-Performance Computing (HPC)Distributed Systems EngineeringAccelerator ArchitecturePerformance Tuning and OptimizationContainerization and Orchestration Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Workload Optimization StrategiesCore System Code DevelopmentAPI Contract DefinitionPerformance Benchmark Suite DevelopmentThroughput and Latency CharacterizationState ManagementParallel Programming ModelsFault ToleranceData-Intensive Application DeploymentAccelerator Kernel Optimization

Certifications & Qualifications

Bachelor of Science in Computer ScienceBachelor of Science in Computer EngineeringBlue’s Standard Background Check

Industry Keywords

Accelerated Computing SystemsMemory Bandwidth ManagementIntermittent ConnectivityAI and Machine Learning ApplicationsU.S. Citizenship or Permanent Residency

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

Own the architecture and implementation of the on-board payload processing runtime for diverse, high-performance computational workloads
Integrate, configure, and optimize accelerator compute frameworks and libraries
Define workload optimization strategies for orbital hardware
Design and write core system code for robust workload checkpointing and state persistence during planned and unplanned connectivity interruptions
Define the API contract for job submission and results delivery
Collaborate with the compute orchestration team on schemas, latency SLAs, and error-handling semantics
Develop and maintain a comprehensive performance benchmark suite on reference hardware
Characterize throughput, latency, and power tradeoffs for representative workloads

Requirements

What you’ll need

Bachelor of Science in Computer Science, Computer Engineering, or a related field
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, including 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
Preferred: Master’s or Ph.D. in a relevant discipline
Preferred: 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 ability to learn and integrate new technologies
Required: Blue’s Standard Background Check

Benefits

Comp & perks

Medical, dental, and vision insurance
Basic and supplemental life insurance
Paid parental leave
Short- and long-term disability
401(k) with a company match of up to 5%
Education Support Program
Stock Options for all regular employees working at least 20 hours/week
Up to four weeks of Paid Time Off per year based on weekly scheduled hours
Up to 14 company-paid holidays
Potential benefits and bonuses based on role type, job level, individual contributions, company results, or other factors at the company's sole discretion