Camera Hardware Engineer, Robot Head 1XCamera Hardware Engineer, Robot HeadSan Carlos, CaliforniaThey are equally comfortable designing rigorous validation methods, analyzing image quality, debugging hardware in the lab, and partnering with cross-functional teams to deliver production-ready vision systems that enable reliable robotic perception. Working closely with Computer Vision, Machine Learning, Electrical Engineering, Mechanical Engineering, and Manufacturing teams, you'll help deliver robust camera systems that perform reliably across millions of operating hours in real-world environments.
Staff Software Engineer - AI ClouderaStaff Software Engineer - AISan Jose, CA$184,000–$230,000 / yearExperience with building AI applications with machine learning models using data science and machine learning tools (Python, Tensorflow, Spark, MLflow, R, etc.). Cloudera is looking for a Staff Software Engineer to join the Enterprise AI Platform team and help drive development of Cloudera's next-generation AI and machine learning platform.
Software Engineer, AI Training and Infrastructure Skild AISoftware Engineer, AI Training and InfrastructureSan MateoDevelop and maintain robust, scalable, and distributed training pipelines (data preprocessing, training orchestration, and model evaluation) and frameworks for large-scale AI models. You will focus on building robust, scalable, and efficient training pipelines and frameworks that support the entire machine learning lifecycle, from data preparation to model deployment.
NewHybrid Visiting Of Artificial Intelligence DeVry UniversityHybrid Visiting Of Artificial IntelligenceSan Jose, CAPreferred Qualifications: Industry certifications in Python programming, artificial intelligence, machine learning, or data science (e.g., PCEP or equivalent).AI practitioner or engineer certifications (e.g., CAIP, Oracle GenAI, or comparable industry-recognized credentials).Experience with AI development frameworks and tools, such as machine learning libraries, model deployment platforms, or generative AI systems. A doctorate in Artificial Intelligence, Computer Science, Data Science, Information Systems, or a closely related field is required, with at least 18 graduate credit hours in artificial intelligence, machine learning, data science, or a related computational discipline.
NewControls and Robot Learning Engineer Bedrock RoboticsControls and Robot Learning EngineerSan Francisco, CaliforniaOnboard Control: Develop control laws for the base vehicle and automated arms, utilizing techniques such as MPC, Reinforcement Learning, linear and non linear control, computed torque, vehicle dynamics, and impedance control. You will be responsible for creating models to be used for onboard controls, as well as analyzing, evaluating and simulating the system dynamics of complex, 100,000-pound construction robots.