…Staff Software Engineer to lead the integration and deployment of advanced perception models into Lucid’s production ADAS and autonomous driving systems. This role…

…Collaborate with product, engineering, business, and operation teams to define agent roles and measurable KPIs. Drive experimentation, simulations, and continuous learning pipelines for agent…

…sources Experience building systems based on machine learning and/or deep learning methods Demonstrated research and software engineering experience via an internship, work experience…

…Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban…

…Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training NICE TO HAVE: - Industry experience on relevant topics (self-driving application preferred…

…Python, Pytorch, computer vision, robotics systems, and distributed machine learning model training NICE TO HAVE: - Industry experience on relevant topics (self-driving application preferred…

…driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. In addition to your research contributions, you will contribute to and learn…

…driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. In addition to your research contributions, you will contribute to and learn…

…Join us! The integration team is responsible for developing and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on…

…Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron…

P-1439 As a Senior Applied ML/AI Engineer at Databricks, you will apply machine learning and optimization algorithms to improve the usability and…

…More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to…

…NVIDIA from Graphics Drivers to Autonomous Vehicles to Deep Learning frameworks. To achieve this goal, we are looking for an engineer who has a…

…The role will work with world level deep learning and AI engineers applying groundbreaking AI technologies including Large Language Models to enable exciting new…

…We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high…

…engineering, as well as with product management, field engineering, recruiting and HR. You will lead critical initiatives that enhance developer productivity and drive innovation…

…Key job responsibilities Our kernel engineers collaborate across compiler, runtime, framework, and hardware teams to optimize machine learning workloads for our global customer base…

…Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban…

…Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or…

…Drive hiring, mentoring, and growth for a high-performing, mission-driven team WE’RE LOOKING FOR SOMEONE WHO HAS: - 3+ years of engineering management…

…skills Ability to work on a distributed team Experience with applying Machine Learning to generate vehicle models, solve motion planning or related robotics problems…

…real-time 3D visualization and simulation, enterprise-scale ISV software development, full-stack application development, AI/machine learning workflows (including ETL, data pipeline development…

…More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to…

…innovation, where diverse perspectives drive breakthrough solutions in Graphics, Data Center, and Artificial Intelligence. As both a learning machine and organization, we believe the…

…As a Software Engineer on the team, you will develop, design, and implement core OS components including: kernel, system services, runtime, application framework, BSPs…