Senior Software Engineer, Rendering Infrastructure (AV Simulation)

Location: Remote; role can be based in the United States. The listed location is Sunnyvale, California, and relocation benefits may be available for relocation to the Bay Area.

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

Company

hirify.global develops automotive products and technologies focused on autonomous driving, safety, emissions reduction, and mobility.

What you will do

• Connect physically based sensor-rendering systems to autonomous vehicle software stacks and compute clusters using ROS/ROS 2, shared-memory IPC, gRPC, sockets, and high-throughput serialization.
• Integrate simulation with Python- and PyTorch-based driving models through Gymnasium-style APIs while preserving deterministic execution.
• Build deterministic, lock-step simulation timing and reproduce real sensor behavior, including camera exposure, rolling shutter, LiDAR rates, clock drift, latency, and packet drops.
• Develop perturbation mechanisms for timing jitter, dropped or out-of-order frames, and camera calibration drift to stress-test perception and sensor fusion.
• Optimize multi-world GPU execution, memory usage, scene streaming, scheduling, acceleration structures, and frames per second per GPU.
• Improve runtime deployment and asset delivery through deterministic packaging, distributed caches, low-overhead OpenUSD and NVIDIA MDL loading, profiling, validation, and regression testing.

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 substantial performance-critical systems work.
• Production proficiency in modern C++17/20 and working proficiency in Python.
• Strong Linux systems programming experience with multithreading, concurrency, memory management, IPC, and high-throughput data movement across processes and machines.
• Depth in robotics/autonomous systems or GPU programming with CUDA, OptiX, Vulkan, DXR, or a similar API.
• Experience designing, debugging, profiling, and optimizing reliable distributed systems, with strong communication and collaboration skills.

Nice to have

• Experience with autonomous driving perception stacks, sensor scheduling, closed-loop simulation, or simulation perturbations.
• Experience with batched or multi-scenario rendering, acceleration structure hierarchies, and GPU instancing.
• Experience with SquashFS, memory-mapped files, zero-copy loading, container layers, shader and texture caches, or PTX distribution.
• Experience consuming OpenUSD in C++ runtimes and deploying containerized simulation jobs on AWS, GCP, or on-premises HPC clusters.
• Exposure to NVIDIA Omniverse, Isaac Sim, DRIVE Sim, Unreal Engine, or other robotics and autonomous vehicle simulators.

Culture & Benefits

• Work on measurable systems goals including reproducibility, timing fidelity, GPU throughput, and worker start-up time.
• Collaborate across rendering, simulation, perception, infrastructure, and 3D content pipeline teams.
• Use design documents, profiling, code review, reproducibility checks, and performance regression testing.
• Benefits include medical, dental, vision, HSA, FSA, retirement savings, paid vacation and holidays, tuition assistance, life insurance, employee assistance, and vehicle discounts.

Hiring process

• The process may include role-related assessments and pre-employment screening where applicable.