Artificial Intelligence Jobs in Sunnyvale, CA

The VP of Agentic Systems will lead data science research and development, focusing on AI systems to enhance cybersecurity operations, requiring strong leadership and collaboration across technical teams.

Design and implement foundational data systems for AI, focusing on efficiency and performance at scale. Collaborate on systems that optimize data handling and contribute to research advancements.

Lead the development of generative AI products, collaborating with teams to innovate enterprise solutions and deliver impactful user experiences.

The Senior AI Automation Engineer will build automation infrastructure for Customer Success operations, focusing on AI tools and system integrations to enhance efficiency and customer value across multiple platforms.

The Software Engineer will scale and optimize Generative AI products, develop scalable APIs, improve system performance, and collaborate with cross-functional teams to enhance the conversation engine.

The role involves leading AI agent system engineering, implementing cutting-edge AI algorithms, and mentoring team engineers. Responsibilities include enhancing products using machine learning and collaborating with various departments to create impactful AI solutions.

The Senior Machine Learning Engineer will develop and enhance Moveworks' NLU and agentic AI capabilities, deliver production-quality code, and solve complex engineering challenges in conversational AI.

This role involves developing and maintaining CI/CD pipelines, enhancing deployment processes, ensuring infrastructure reliability, and promoting best practices within the AIDR platform team.

The role involves ensuring the reliability of Autonomous Vehicle software through triaging failures, deep debugging, automated testing, and collaboration with engineering teams.

Lead the development of an AI framework for endpoint security, collaborate with teams, optimize solutions, and ensure model efficiency across various platforms.

The Group AI Research Product Manager will lead the AI Foundations portfolio strategy, driving innovations in Cybersecurity AI and liaising with PhD scientists to enhance research outcomes.

As an AI-Centric Release & Automation Software Engineer, you will design automated release pipelines and integrate AI-driven processes for efficient AV software deployment, ensuring safety and reliability. Responsibilities include establishing metrics, collaborating on workflows, and communicating insights to stakeholders.

The role involves architecting AI applications, delivering scalable solutions, conducting research, and implementing high-quality code for cloud platforms. Requires collaboration and effective communication.

As a Software Development Engineer, you will create high-performance Linux software components, ensure system reliability, collaborate with teams, and design security features for containers in cloud environments.

Lead a team building AI/ML solutions for vehicle motion control and estimation. Oversee architecture, development, deployment, and cross-functional collaboration; ensure timely delivery, technical mentorship, agile practices, and alignment with business and safety requirements.

As a Senior Software Engineer II, you'll design and operate a Kubernetes-native platform for AI workload orchestration, improve performance, and mentor engineers.

Join the Inference team to implement features and improvements for model serving on a GPU platform, focusing on performance and reliability.

The Staff Software Engineer will lead the architecture and design for AI workload orchestration on Kubernetes, mentoring engineers and driving technical initiatives across teams.

The Senior AI/ML Engineer will design and implement scalable ML infrastructure solutions, mentor junior engineers, and own key technical projects.

The role involves optimizing a Generative AI conversation engine and API design for enterprise solutions, collaborating with teams to enhance system scalability and performance.

As a Software Engineer, you'll build AI agent systems, implement AI algorithms, collaborate across teams, and mentor other engineers, focusing on enhancing the AI Assistant platform.

The Staff AI Engineer will build and deploy AI/ML solutions for simulations, working with teams to evaluate and implement AI tools. Responsibilities include leading projects, fine-tuning models, and optimizing performance across various applications in engineering.

As a Software Engineer, you'll contribute to developing AI agent systems, implementing algorithms, and enhancing products while collaborating with experts and mentoring other engineers.

Lead design, architecture, and deployment of end-to-end ML solutions for onboard autonomous driving. Apply foundation-model alignment, unsupervised pre-training, imitation and reinforcement learning, and scale large-model training pipelines. Collaborate cross-functionally, mentor engineers, conduct research, and productionize foundation models for safe, reliable real-world driving.

Design, implement, and deploy scalable ML training and evaluation platforms. Own end-to-end projects, make architectural decisions, drive prioritization, collaborate cross-functionally, and mentor engineers to accelerate autonomous driving model development.