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.

The Sr. Staff Outbound Product Manager leads market success for an AI Assistant portfolio, focusing on customer insights, product readiness, adoption, and cross-functional collaboration.

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.

As an Advisory Solution Consultant, you will create AI solutions for clients by designing proof-of-concept projects and engaging in strategic discussions. Your role requires technical depth and collaboration with cross-functional teams to deliver scalable solutions.

Lead a team of engineers in developing AI data platform services, focusing on system design, execution, and team culture. Oversee project outcomes and mentor team members.

Lead development of AI/ML systems for robotics and manufacturing, implementing machine learning architectures and collaborating with cross-functional teams.

As a Staff Machine Learning Engineer, you will leverage machine learning and software engineering to enhance conversational AI systems, ensuring exceptional user experiences and model performance while adhering to responsible AI practices.

As a Senior Forward Deployed Solution Engineer, you will design and deliver AI solutions by managing the full stack, ensuring integration with customer systems, and fostering innovation through reusable assets.

As a Machine Learning Engineer, you'll contribute to ML platform development, optimize models, and collaborate with senior engineers on deployment workflows and model optimization for autonomous vehicles.

Lead design, implement, and deploy scalable AI agents and infrastructure. Drive technical strategy, mentor engineers, collaborate cross-functionally, perform system and code reviews, and resolve architectural and performance challenges.

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.

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

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.

As an AI Senior Software Developer, you will develop AI infrastructure, collaborate with teams, and optimize applications for production at GM.

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

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.

As a Senior Software Engineer, you will lead projects involving Machine Learning and AI technologies, collaborate with cross-functional teams, and design user-centric features to enhance enterprise automation.

Design, implement and test cloud-based scalable data processing solutions. Lead projects, mentor staff, and engage in cross-team collaborations.

The role involves optimizing large-scale ML infrastructure for autonomous vehicles, conducting analyses, collaborating with teams, and improving system performance.

The role involves building and evolving AI agent systems, implementing advanced AI algorithms, collaborating with teams, and mentoring junior 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.

Build and deploy scalable ML training and evaluation platforms, drive technical projects and architectural decisions, collaborate with partner teams, prioritize platform improvements, ensure reliability and performance, and mentor junior engineers.