Machine Learning Jobs in Sunnyvale, CA

As a Software Engineer intern, you'll work on AI-driven projects spanning data management, onboard systems, ML infrastructure, simulations, and technical infrastructure, collaborating with experts in various fields.

Looking for new graduate software engineers to work in areas like Data Platform, Onboard Systems, or Technical Infrastructure focusing on AI and autonomy technologies.

Design and scale advanced ML models and systems for prediction and recommendation. Mentor junior engineers while leading projects occasionally.

The Product Manager will lead the roadmap for the Vulcan robotic weeding product, collaborating with engineering teams and managing the product lifecycle from development to launch.

The role involves managing real-time information, attending industry events, and synthesizing complex data into clear formats while promoting knowledge management within the organization.

The Senior Industrial Engineer will enhance supply chain performance, drive cycle time improvements, develop algorithms for optimization, and collaborate with manufacturing teams.

The AI/ML Specialist will enhance ML algorithms for fraud and risk, engage with financial clients, and drive technical success with real-world data testing.

You will own the compilation stack transforming AI models into optimized inference for autonomous driving. This includes developing tools and techniques for model export and optimizing performance while ensuring safety and reliability.

Lead the design and advancement of AI platform infrastructure, focusing on distributed training, efficiency, and optimization of ML models. Collaborate with teams and guide architectural decisions.

The Senior Compiler Engineer will develop a model compilation toolchain for deploying optimized machine learning models in autonomous vehicles, focusing on performance engineering and collaboration with cross-functional teams.

The role involves designing, implementing, and optimizing CUDA-based kernels for autonomous vehicles, ensuring high-performance ML inference for AV software.

The Senior ML/AI Engineer will enhance developer productivity for AV engineers at GM by designing, implementing scalable, reliable systems and mentoring team members.

The Senior Neural Graphics Scientist will define NVIDIA's Neural Graphics strategy, pioneer neural shading techniques, connect research to products, drive AI innovations, and influence hardware design.

The Founding Product Director will define the product vision and strategy for IrisGo, lead app development, and act as a partner to OEMs, while fostering an open-source ecosystem for AI PCs.

As a new engineer at Cerebras, you'll learn their platforms, focusing on programming the Wafer Scale Engine, kernel development, and system performance modeling.

Drive yield improvement and process optimization for advanced packaging by building scalable data pipelines, integrating ATE/DFT/fab data, performing statistical and ML-based yield analytics, enabling self-serve analytics, and delivering reports and recommendations across cross-functional teams and external partners.

Design and develop AI/ML solutions, focusing on scalable software and user experience, while collaborating across teams to integrate generative AI technologies.

Research and apply advanced machine learning techniques to solve autonomy system problems, providing leadership and deploying solutions in real-world environments.

The role involves designing and deploying strategies for congestion revenue rights, applying quantitative methods, and developing machine learning models.

Drive planning and execution of multiple software and ML workstreams, manage cross-functional dependencies, gather requirements, track schedules, support development-to-deployment, and improve processes to deliver customer product releases.

Lead the Vehicle Understanding team, managing production modules related to vehicle classification, states, and intents for Waymo's autonomous systems.

Design and implement AI-driven optimizations for software development workflows, leveraging LLMs and Agentic AI to enhance productivity and reliability.

Lead research and development of end-to-end ML models for autonomous driving, experiment with large-scale datasets and architectures, collaborate with infra and autonomy teams, optimize models for deployment, and deploy solutions to on-road vehicles.

Lead the Safety Office to enhance safety in design, testing, and operations of autonomous vehicle technologies. Oversee safety strategy and ensure compliance across the company.

Develop control software for automated driving, ensuring safety standards, collaborating with engineers, and enhancing vehicle performance through robust algorithms and testing.