Senior Software Engineer, Rendering Infrastructure

🕒 Agosto 18

🏄 California – Remoto

🏄 California – Remote

💵 $153.200 - $234.100 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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General Motors

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1908

🚘 Automotivo

🏭 Manufatura

🚗 Transporte

💰 $500.000.000 Grant em 2024-07

Automotive • Manufacturing • Transport

A visão da General Motors é criar um mundo com Zero Acidentes, Zero Emissões e Zero Congestionamentos, e estamos comprometidos em liderar o caminho rumo a esse futuro. Hoje, estamos no meio de uma revolução no transporte e temos a ambição, o talento e a tecnologia para concretizar o mundo mais seguro, melhor e mais sustentável que desejamos. Como uma empresa aberta e inclusiva, também estamos criando um ambiente em que todos se sintam acolhidos e valorizados por quem são. Um único time, no qual todas as ideias são consideradas e ouvidas, onde todos podem contribuir ao máximo de seu potencial, com uma cultura baseada em respeito, integridade, responsabilidade e igualdade. Nossa equipe reúne perspectivas e experiências diversas para solucionar os complexos desafios de transporte de hoje e de amanhã.

Descrição

• Build production-scale systems for a GPU-accelerated, physically based autonomous-vehicle sensor simulator • Connect the renderer to autonomous-vehicle software stacks and compute clusters using ROS/ROS 2, shared-memory IPC, gRPC, sockets, and serialization formats • Integrate the runtime with Gymnasium-style environment APIs and PyTorch-based driving models • Integrate execution with cloud and on-premises environments for closed-loop testing, continuous integration, and perception training • Improve and validate deterministic, bit-accurate or frame-deterministic execution across simulation, physics, and rendering • Reproduce real sensor scheduling and vehicle timing, including camera, rolling shutter, LiDAR, clock drift, latency, transport lag, and packet drops • Build perturbation mechanisms for timing jitter, dropped or out-of-order frames, and calibration drift • Build memory-efficient multi-world and multi-scenario execution on a single GPU using shared geometry and instancing • Optimize GPU memory, scene streaming, and scheduling to maximize frames per second per GPU • Improve runtime deployment and asset delivery using deterministic packages, read-only filesystems, memory-mapped storage, and low-overhead loaders • Build distributed caches for textures, shader pipelines, and acceleration structures to reduce cold starts and redundant I/O • Profile and reduce disk, network, and memory footprints • Partner with 3D content and USD pipeline teams on runtime budgets, validation rules, and compression workflows • Produce technical design documents, participate in code reviews, perform reproducibility and performance regression testing, and mentor engineers

🎯 Requisitos

• Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience • 5+ years of professional software engineering experience, with substantial focus on performance-critical systems software • Production proficiency in modern C++ (C++17/20), including performance optimization, memory management, and API/system design • Working proficiency in Python for tooling and automation • Strong Linux systems programming foundation, including multithreading, concurrency, memory management, IPC, and high-throughput data movement across processes and machines • Depth in robotics/autonomous systems or GPU programming through CUDA, OptiX, Vulkan, DXR, or similar APIs, with interest in developing the other domain • Experience with real-time middleware or interfaces such as ROS/ROS 2, DDS, custom IPC, high-rate publish/subscribe, or Gymnasium-style environment APIs • Working understanding of GPU memory and execution models • Track record designing, implementing, and debugging reliable distributed systems • Experience profiling and optimizing real systems • Strong communication and collaboration skills across rendering, simulation, perception, infrastructure, and content pipeline teams • Direct autonomous vehicle experience is not required • Relevant experience may come from robotics, perception, simulation, rendering and graphics, game engines, HPC, or distributed systems infrastructure

🏖️ Benefícios

• 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 relocation to the Bay Area • Remote work arrangement