Artificial Intelligence Jobs in Sunnyvale, CA

Design and run scalable 1-to-many onboarding and adoption programs, build reusable technical assets (playbooks, templates, notebooks), and use product signals to segment customers, measure impact, and feed insights back to Product, Support, and Field Engineering.

The AI Native Account Executive will manage the sales pipeline, achieve revenue quotas, understand client needs, and promote Cloud solutions.

Partner with account teams to design, prototype, and deliver PoVs for ML and GenAI systems using Weights & Biases and CoreWeave. Lead technical demos, architect distributed training/inference, translate business goals into measurable outcomes, and advise on MLOps/LLMOps best practices while feeding customer insights to product and engineering.

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.

The Senior Software Engineer will scale and optimize the Generative AI product infrastructure, improve performance, collaborate with teams, and implement best coding practices to enhance the conversation engine for enterprise solutions.

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

As the Engineering Director, you will lead teams developing content generation features for the Gemini App, integrating generative AI capabilities, and driving product innovation and daily usage.

The Technical Program Manager will oversee product launches, manage cross-team dependencies, enhance user engagement, and develop product metrics for Antigravity at Google DeepMind.

The VP of Product Marketing will lead strategy, messaging, and go-to-market initiatives while managing a high-performing team. Responsibilities include competitive intelligence, analyst relations, and sales enablement.

In this role, you will lead the development of enterprise AI products using Machine Learning technologies. You'll collaborate with cross-functional teams to design and implement features, expanding product reach while ensuring high-quality engineering.

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

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

The role involves leading security architecture and development for AI Platform, focusing on cryptography, key management, and machine identity. Collaboration across teams is essential to deliver secure solutions.

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 Computer Vision Scientist will develop and productize algorithms, collaborate with teams, and tackle impactful AI and machine learning problems.

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 Group Product Manager will lead the development of Level 4 autonomous trucking solutions, managing product lifecycle and a team of Product Managers, while collaborating with cross-functional teams to ensure successful product deployment.

Lead product marketing initiatives for NVIDIA's Autonomous Vehicles, engaging with customers, refining product roadmaps, and ensuring successful product launches.

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.

Research Scientist at Google DeepMind focusing on advancing artificial intelligence through collaboration and prioritizing safety and ethics.