英伟达Senior Prediction Software Engineer - Autonomous Vehicles
任职要求
• BS or higher in an engineering or technical field (Mechanical, Electrical, Computer Science, Physics, etc.) or equivalent experience. • 10+ years of practical experience. • Experience writing software in C++. • Comfort with an Agile/Scrum software development environment using Gerrit (or similar). • Comfort developing software with GIT in a Linux environment. Ways to stand out from the crowd: We definitely want to hear from you if you are an upbeat contributor with a background that includes one or more of the following:• Experience shipping automotive software products, especially Autonomous Driving or ADAS. • Exposure to regulatory standards such as ISO 26262 and safety decompositions (ASIL) or an industry equivalent. • An expertise in fundamental physics - kinematic and dynamic models of rigid bodies. • Background with traditional planning algorithms (A*, D*, R…
工作职责
Maturing and productizing new features entails a diversity of activities, including:• Architecting new designs to enable new functions or to improve performance. • Leading engineering efforts to develop, tune, and verify algorithms and software using fundamental physics, control systems, planning algorithms, and/or vehicle dynamics. • Debugging and addressing different issues identified in simulations and in test drives. • Collaborating with our globally distributed team to enhance the software architecture, improving development processes and tooling • Defining and verifying product requirements through detailed analysis, simulation, in-car testing, and benchmarking existing products. • Maturing prototype software to production quality.
• Design and implement triggering systems and deploy containerized orchestration pipelines for distributed map creation, maintenance, and evaluation from crowdsourced vehicle data • Develop map quality detection systems including automated hotspot detection algorithms and human-in-the-loop review workflows for large scale map validation • Develop Python, C++, and JavaScript tools for map management, data validation, on-vehicle testing, and web-based geospatial visualizations • Build C++ modules for on-vehicle map integration with perception, localization, and other consumers to ensure end-to-end validation of the maps' impact on driving performance • Work with embedded systems and real-time constraints to optimize map consumption by autonomous driving software • Collaborate with perception, planning, and operations teams to improve map quality and real-time driving performance
• Design, build, and harden containers for NIM runtimes, inference backends; enable reproducible, multi-arch, CUDA-optimized builds. • Develop Python tooling and services for build orchestration, CI/CD integrations, Helm/Operator automation, and test harnesses; enforce quality with typing, linting, and unit/integration tests. • Help design and evolve Kubernetes deployment patterns for NIMs, including GPU scheduling, autoscaling, and multi-cluster rollouts. • Optimize container performance: layer layout, startup time, build caching, runtime memory/IO, network, and GPU utilization; instrument with metrics and tracing. • Evolve the base image strategy, dependency management, and artifact/registry topology. • Collaborate across research, backend, SRE, and product teams to ensure day-0 availability of new models. • Mentor teammates; set high engineering standards for container quality, security, and operability.