Senior Engineer, Compute Fabric & Network Architecture

BLUE ORIGIN

. Architect the hierarchical GPU interconnect topology for a large-scale accelerator cluster .

Posted 10/13/2026full-timeUnited StatesSenior💰 $133,500 - $186,899 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying large-scale accelerator clusters with a focus on high-speed GPU interconnects and fabric management. Proficient in collective communication libraries and capable of making foundational hardware decisions for high-performance networking in complex environments.

Highest-signal resume keywords

HPC NetworkingDatacenter Fabric DesignGPU Cluster EngineeringCollective Communication LibrariesInfiniBand Fabrics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

GPU Interconnect TopologyFabric Management SoftwareNetwork Topology DesignPerformance TuningRadiation Mitigation StrategiesBandwidth and Latency BudgetingMulti-Tenant Workload PartitioningFabric Switch QualificationModel-Parallel InferenceHigh-Radix Fabric Switches

Soft Skills

Intellectual CuriosityProblem-Solving

Tools & Technologies

NCCLRCCLFabric Management Tools

Certifications & Qualifications

Blue’s Standard Background Check

Industry Keywords

High-Performance ComputingCloud ProviderNational LaboratoryAI ApplicationsMachine Learning Applications

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Architect the hierarchical GPU interconnect topology for a large-scale accelerator cluster
Define pod architecture, fabric switch placement, and inter-pod fabric selection
Own configuration, bring-up, and operation of fabric management software
Define topology files and partitioning policies for multi-tenant workloads
Lead hardware qualification of fabric switches and network components for the space environment
Develop strategies to mitigate radiation effects on switch state and routing tables
Own collective communications performance across the fabric
Tune libraries such as NCCL and RCCL
Define bandwidth and latency budgets for high-performance model-parallel inference
Co-design fabric topology with software teams and model parallelism strategies
Interface with platform software teams to manage fabric software bring-up and integration
Make foundational hardware decisions for the orbital data center’s high-speed interconnect fabric and own performance from the physical layer through the software stack

Requirements

What you’ll need

Bachelor of Science in Computer Science, Electrical Engineering, or a related field
8+ years of experience in HPC networking, datacenter fabric design, or GPU cluster engineering
Expertise designing and deploying large-scale accelerator clusters using high-speed, direct GPU-to-GPU interconnects and high-radix fabric switches
Hands-on experience with network topology at scale and associated fabric management tools
Proficiency with collective communication libraries
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: 10–15+ years of experience in a senior networking or systems design role
Preferred: Extensive experience with InfiniBand fabrics
Preferred: Intellectual curiosity and a first-principles approach to problem-solving
Preferred: Experience with a major cloud provider, HPC vendor, or National Laboratory focused on large-scale GPU networking
Preferred: Passion for and understanding of AI and Machine Learning applications in engineering
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