Driving Instructor - Learn 2 Drive Center Fresno Regional Workforce Development BoardDriving Instructor - Learn 2 Drive CenterFresno, CaliforniaUltimately, as the Instructor you will tailor instruction to meet the needs of the students, while still meeting targets set by Learn 2 Drive Center. The Driving Instructor will also communicate with students to discover which of their abilities require further development.
Senior Machine Learning Engineer, End‑to‑End Autonomous Driving NVIDIASenior Machine Learning Engineer, End‑to‑End Autonomous DrivingUs, CaliforniaYou will help build, train, and deploy large‑scale E2E driving models that leverage VLM/VLA architectures, and build a data flywheel that continuously improves our systems in the real world! Hands‑on experience training and deploying deep learning models on real‑world datasets: data preprocessing, distributed training, evaluation, debugging, and iterative improvement.
Senior Machine Learning Engineer, Perception - Autonomous Driving NVIDIASenior Machine Learning Engineer, Perception - Autonomous DrivingUs, CaliforniaDesigning end2end solutions for Perception and AV stack to enable road network detections across various driving environments from complex intersections to rural curvy roads to multi-level highways. Drive and prioritize data-driven development by working with large data collection and labeling teams to bring in high value data to improve perception system accuracy.
Senior Solutions Architect, Autonomous Driving - GenAI NVIDIASenior Solutions Architect, Autonomous Driving - GenAIUs, CaliforniaNVIDIA is building the world’s leading AI company, and we are looking for an expert AV and GenAI Solutions Architect to help assist customers with adoption of NVIDIA's full-stack technologies as well as building and deploying solutions around Generative AI and Physical AI and other related GPU-accelerated technologies in which intelligent agents can learn, reason, and interact the world. Engage with customers to help them scope and develop solutions for building AV perception and planning models and pipelines, simulations, synthetic data generation, and software in the loop testing, AI enhanced manipulation and navigation workflows using NVIDIA's Physical AI platforms and CUDA-X libraries.
Deep Learning Senior Engineer, End-To-End Autonomous Driving NVIDIADeep Learning Senior Engineer, End-To-End Autonomous DrivingUs, CaliforniaAt NVIDIA, we are seeking exceptional engineers to join our autonomous driving team to design, implement, and deploy cutting-edge end-to-end autonomous driving systems, running on NVIDIA chips in mass-production vehicles. This next phase leverages LLMs, VLMs, and VLAs to bring unprecedented reasoning, planning capabilities, and interactivity with the driving system to autonomous vehicles and general robotics.
Senior Software Systems Engineer, L3 and L4 - Autonomous Driving NVIDIASenior Software Systems Engineer, L3 and L4 - Autonomous DrivingUs, CaliforniaProven understanding of trade-offs between End-to-End deep learning approaches, classical modular perception/planning stacks, and associated validation and test strategies. Hands-on experience in SOTIF analysis (ISO 21448), functional safety (ISO 26262), and multi-functional architectural trade-off analysis.
Senior Software Engineer - Autonomous Driving NVIDIASenior Software Engineer - Autonomous DrivingUs, CaliforniaIn this highly visible technical leadership role, you will drive architecture, optimization, and execution across the autonomous driving software stack, with a focus on optimizing and deployment of deep neural networks that are fast, efficient, reliable, and deployable on NVIDIA automotive compute platforms. You will work at the intersection of core platform, deep learning inference, TensorRT and related compiler/runtime technologies, CUDA/GPU performance, model compression, platform software, and safety-aware automotive deployment.
Senior Research Scientist - Generative World Models for Autonomous Driving and Physical AI NVIDIASenior Research Scientist - Generative World Models for Autonomous Driving and Physical AIUs, CaliforniaProven research excellence, evidenced by a strong publication record in leading AI and computer vision symposiums and periodicals (e.g., NeurIPS, CVPR, ICCV, ECCV, ICLR, ICML, TPAMI), along with experience translating research into impactful, real-world systems. This role requires outstanding software engineering abilities combined with deep expertise in innovative AI and simulation technologies, including generative world models, end-to-end driving, reasoning, and vision-language models.