Senior Software Engineer, Rendering Infrastructure

This is a fully remote position, open to applicants in California.

📋 Description

• Develop large-scale production systems for a GPU-accelerated, physically-based simulator for autonomous vehicle sensors.

• Link the renderer with autonomous vehicle software stacks and compute clusters utilizing ROS/ROS 2, shared-memory IPC, gRPC, sockets, and various serialization formats.

• Incorporate the runtime with Gymnasium-style environment APIs and driving models based on PyTorch.

• Seamlessly integrate execution with both cloud and on-premises environments for closed-loop testing, continuous integration, and perception training purposes.

• Enhance and validate deterministic, bit-accurate, or frame-deterministic execution across simulation, physics, and rendering components.

• Simulate real sensor scheduling and vehicle timing aspects, including camera, rolling shutter, LiDAR, clock drift, latency, transport lag, and packet loss.

• Create perturbation mechanisms to handle timing jitter, dropped or out-of-order frames, and calibration drift.

• Develop memory-efficient multi-world and multi-scenario execution on a single GPU via shared geometry and instancing techniques.

• Optimize GPU memory usage, scene streaming, and scheduling to maximize frames per second per GPU.

• Enhance runtime deployment and asset delivery through deterministic packages, read-only filesystems, memory-mapped storage, and low-overhead loaders.

• Construct distributed caches for textures, shader pipelines, and acceleration structures to minimize cold starts and redundant I/O operations.

• Profile and minimize disk, network, and memory footprints.

• Collaborate with 3D content and USD pipeline teams on runtime budgets, validation rules, and compression workflows.

• Generate technical design documentation, engage in code reviews, conduct reproducibility and performance regression testing, and mentor fellow engineers.

⛳️ Requirements

• Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.

• Over 5 years of professional software engineering experience, with a significant focus on performance-critical systems software.

• Expertise in modern C++ (C++17/20), including performance optimization, memory management, and API/system design.

• Proficient in Python for tooling and automation tasks.

• Strong foundation in Linux systems programming, including multithreading, concurrency, memory management, IPC, and high-throughput data movement across processes and machines.

• In-depth knowledge of robotics/autonomous systems or GPU programming using CUDA, OptiX, Vulkan, DXR, or similar APIs, with a willingness to develop skills in the other domain.

• Familiarity with real-time middleware or interfaces such as ROS/ROS 2, DDS, custom IPC, high-rate publish/subscribe, or Gymnasium-style environment APIs.

• Basic understanding of GPU memory and execution models.

• Proven experience in designing, implementing, and debugging reliable distributed systems.

• Background in profiling and optimizing real systems.

• Excellent communication and collaboration capabilities across rendering, simulation, perception, infrastructure, and content pipeline teams.

• Direct experience with autonomous vehicles is not mandatory.

• Relevant experience may be derived from fields such as robotics, perception, simulation, rendering and graphics, game engines, HPC, or distributed systems infrastructure.

🏝️ Benefits

• Bonus potential through an incentive pay program based on company performance, job level, and individual performance.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• Health Savings Account.

• Flexible Spending Accounts.

• Retirement savings plan.

• Sickness and accident benefits.

• Life insurance.

• Paid vacation and holidays.

• Tuition assistance programs.

• Employee assistance program.

• GM vehicle discounts.

• Potential relocation benefits for moving to the Bay Area.

• Remote work arrangement.