Staff Edge Compute Systems Engineer

TL;DR

Staff Edge Compute Systems Engineer (Edge AI/ML): Contribute to the architecture and development of a GPU-accelerated onboard compute platform for flight deployment with an accent on on-orbit AI/ML inference, real-time performance optimization, and integration with spacecraft avionics. Focus on designing reliable, fault-tolerant edge compute stacks under strict spaceflight constraints and delivering production-grade systems ready for operational deployment.

Location: Westminster, CO

Salary: $102,000.00 - $170,000.00 annually (Colorado)

Company

hirify.global builds spatial intelligence solutions and resilient, autonomous space systems with onboard computation and AI.

What you will do

• Architect and develop hirify.global’s GPU-accelerated onboard compute platform for flight deployment.
• Guide technical direction for NVIDIA-based embedded systems, balancing performance, power, reliability, and scalability.
• Design and optimize GPU-accelerated compute stacks for on-orbit AI/ML inference under spaceflight constraints.
• Develop high-performance C/C++ and GPU-accelerated components; lead end-to-end performance optimization (memory management, quantization, runtime tuning).
• Integrate compute subsystems with spacecraft avionics, sensors, radios, and command/telemetry systems; support bring-up, HIL validation, profiling, and flight-representative testing.
• Design for reliability, fault tolerance, and autonomous operation in constrained/degraded environments; evaluate and integrate emerging onboard processing approaches.

Requirements

• U.S. Person eligibility (U.S. citizen, permanent resident, asylee, or refugee) and ability to obtain/hold a U.S. Government Secret security clearance.
• Bachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, Systems Engineering, or equivalent experience.
• Significant experience developing software for space, aerospace, or other mission-critical embedded systems.
• Strong C/C++ expertise for performance-critical, real-time systems and experience optimizing in resource-constrained environments (power, thermal, memory, latency).
• Experience with Linux-based embedded platforms, cross-compilation, debugging, and performance tuning.
• Experience deploying or optimizing AI/ML inference workloads in embedded/edge environments; familiarity with spacecraft/aerospace subsystem interfaces (e.g., SpaceWire, CAN, Ethernet, PCIe, telemetry/command architectures).

Nice to have

• Experience with NVIDIA GPUs or GPU-accelerated systems (CUDA a plus).
• Familiarity with AI/ML inference acceleration frameworks (TensorRT, ONNX Runtime, or similar).
• Exposure to radiation-aware design or flight-qualified hardware considerations.
• Experience supporting system bring-up, HIL testing, or flight validation.
• Background in distributed, fault-tolerant, or autonomous systems.

Culture & Benefits

• 401(k) with company match and mental health resources.
• Student loan repayment assistance, adoption reimbursement, and pet insurance.
• Incentive eligible with a target based on contribution, company performance, and/or individual results.
• Application window is three days from the job posting date and remains posted until a qualified candidate is identified.

Hiring process

• Submit an application via hirify.global’s Career page.
• Interviews and evaluations are expected to assess embedded/edge compute architecture, performance optimization, and integration experience.