Senior Software Engineer (Rendering Infrastructure, AV Simulation)

Location: Remote within the United States; role location listed as Sunnyvale, California. Relocation benefits may be available for relocating to the Bay Area.

Salary: $153,200–$234,100 per year, plus bonus potential.

Company

hirify.global develops automotive technologies focused on zero crashes, zero emissions, and zero congestion.

What you will do

• Build rendering infrastructure that turns a GPU-accelerated, physically based sensor simulator into a reproducible production platform.
• Connect the renderer with autonomous vehicle software stacks and compute clusters using ROS/ROS 2, shared-memory IPC, gRPC, sockets, and efficient serialization.
• Integrate simulation with Python and PyTorch-based driving models through Gymnasium-style environment APIs.
• Improve deterministic lock-step execution, sensor scheduling, vehicle timing fidelity, and closed-loop simulation reliability.
• Enable memory-efficient multi-world rendering, GPU resource sharing, scene streaming, and high frames per second per GPU.
• Optimize runtime deployment, asset delivery, distributed shader and texture caching, profiling, and worker start-up performance.

Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
• 5+ years of professional software engineering experience, including performance-critical systems software.
• Production proficiency in modern C++ and working proficiency in Python.
• Strong Linux systems programming experience with multithreading, concurrency, memory management, IPC, and high-throughput data movement.
• Depth in robotics/autonomous systems or GPU programming through CUDA, OptiX, Vulkan, DXR, or a similar API.
• Experience designing, debugging, profiling, and optimizing reliable distributed systems.

Nice to have

• Experience with autonomous driving perception stacks, sensor timing, perturbation testing, or closed-loop simulation.
• Experience with batched or multi-scenario rendering, acceleration structures, and GPU instancing.
• Experience with SquashFS, memory-mapped files, zero-copy loading, shader caching, OpenUSD, or NVIDIA MDL.
• Experience deploying containerized simulation jobs on AWS, GCP, or on-premises HPC clusters.
• Experience with Omniverse, Isaac Sim, DRIVE Sim, Unreal Engine, or other robotics and autonomous vehicle simulators.

Culture & Benefits

• Work on measurable systems problems involving reproducibility, timing fidelity, GPU throughput, and worker start-up time.
• Collaborate across rendering, simulation, perception, infrastructure, and content pipeline teams.
• Use design documents, code review, reproducibility testing, performance regression testing, and technical mentorship.
• Benefits include medical, dental, vision, HSA, FSA, retirement savings, life insurance, paid vacation and holidays, tuition assistance, and employee assistance programs.
• Additional benefits include GM vehicle discounts and potential relocation support for the Bay Area.

Hiring process

• A role-related assessment and pre-employment screening may be required.