GPU Software Specialist, Onboard Compute (CUDA)

Location: Hybrid in San Jose, California; on-site three days per week. Access to export-controlled information requires U.S. person status, eligibility for access without export authorization, or eligibility and reasonable likelihood of obtaining the required authorization.

Salary: $156,000–$186,000 per year, plus equity and benefits.

Company

hirify.global designs, builds, and operates low-Earth-orbit satellite constellations that deliver mission-critical Earth-observation data.

What you will do

• Design and implement GPU compute kernels for onboard image processing, radio signal processing, and machine-learning inference.
• Architect GPU pipelines that process live optical and radio sensor data and deliver results to downlink or CPU-based decision systems.
• Port, adapt, and optimize customer algorithms, models, and reference implementations for real-time, power-constrained flight execution.
• Profile GPU workloads and tune occupancy, kernel launches, memory access, and data movement for real-time deadlines.
• Own GPU software verification and validation, including unit, system-level, and hardware-in-the-loop testing.
• Define embedded GPU build and CI/CD environments, collaborate on spacecraft interfaces, and document designs, trade studies, and test results.

Requirements

• Bachelor’s or Master’s degree in computer science, computer engineering, electrical engineering, applied mathematics, or a related technical field, plus 3+ years of professional GPU software development experience.
• Strong proficiency in C/C++ or Rust and Python, including memory management, concurrency, and performance-oriented production programming.
• Production experience with CUDA, OpenCL, HIP, or similar GPU-acceleration technologies.
• Deep knowledge of GPU architecture, including SIMT execution, memory hierarchies, access patterns, occupancy, and kernel-launch overhead.
• Experience developing and debugging embedded Linux software on platforms such as Nvidia Jetson or IGX, including cross-compilation and driver interaction.
• Ability and willingness to obtain and maintain a U.S. security clearance, with eligibility to access U.S. export-controlled information.

Nice to have

• GPU-based raw image or radio signal processing, DSP/RF workloads, or ML inference optimization and quantization for edge deployment.
• High-throughput data movement, Ethernet payload streams, RDMA, and zero-copy buffers.
• Embedded CI/CD, containerization, and hardware-in-the-loop test automation.
• Space, aerospace, mission-critical software, or customer-facing applied-engineering experience.

Culture & Benefits

• Full-time employees receive equity compensation and medical, dental, and vision insurance.
• Benefits include a 401(k) retirement plan, disability and life insurance, paid parental leave, and unlimited sick time.
• New employees receive three weeks of paid vacation and 12 paid holidays.
• Commitment to equal employment opportunity, diversity, and reasonable application accommodations.