Artificial Intelligence Jobs in Sunnyvale, CA

Build, ship, and operate end-to-end production AI/ML solutions for vehicle diagnostics, prognostics, and test analytics. Implement ML pipelines on Azure/Databricks, develop observable ML services, ensure model/data observability, and collaborate with SMEs to embed models into engineering workflows while mentoring other practitioners.

Lead a team developing AI/ML solutions for vehicle motion control and estimation. Oversee design, implementation, and deployment of embedded AI systems, mentor engineers, coordinate cross-functional teams, ensure project delivery using agile practices, and drive adoption of AI/ML across the organization.

Design and build scalable microservices and platforms for AI security event processing, mentoring team members, and ensuring operational excellence.

As a Principal Product Manager, guide development of AI-powered employee experiences, collaborating with teams to create impactful products, translate user feedback, and stay updated on AI trends.

New graduate software engineer role building AI-powered backend systems for security operations. Work on ML models, AI agents, retrieval systems, data pipelines, APIs, and distributed backend services. Collaborate with engineers and researchers to deploy production-grade, scalable features and tests.

Design and build production-grade full-stack, AI-enabled applications. Develop React/Next.js frontends, backend services on Kubernetes, integrate LLM/AI features, connect data platforms, implement CI/CD, automated testing, observability, and ensure secure, high-performance APIs and services.

Responsible for forecasting, planning, and financial analysis, building analytical tools, and providing insights while supporting senior management across the GeForce FP&A team.

Design, build, and operate production-grade agentic AI systems: multi-agent orchestration, enterprise-grounded reasoning using CMDB/Knowledge Graph, retrieval/RAG pipelines, model integration with frontier SDKs, and trust/safety/governance. Lead architecture, code quality, and mentor engineers for scalable, safe autonomous agents.

Lead design and delivery of production autonomous agents and agentic workflows: architect orchestration, integrate and optimize frontier LLMs, drive model fine-tuning and evaluation, mentor engineers, and translate business goals into safe, reliable, scalable AI-powered product experiences.

The Specialist Seller will drive go-to-market execution for AI Products, architecting deals, building partnerships, and developing success metrics for customer adoption while collaborating with teams for growth. Requires extensive experience in enterprise sales and AI-based selling.

As an AI/ML Engineer, develop and optimize analytics frameworks to enhance autonomous vehicle development, focusing on automation tools and collaboration with engineering teams.

Lead execution of defense-focused technical programs, managing cross-functional coordination between engineering, product and operations to ensure timely delivery and compliance with government requirements.

The Technical Solutions Engineer resolves customer issues, troubleshoots complex network environments, and collaborates with engineering teams to ensure customer satisfaction.

The Solutions Architect will implement ERP projects focusing on NetSuite integration, optimize functionalities, and ensure system reliability while collaborating with stakeholders.

Lead global AI/ML engineering to define and execute model and platform strategy, build agentic AI and omni-channel AI experiences, scale ML infrastructure (training, feature stores, serving, MLOps), drive applied research (NLP, generative AI, RAG, RL), and recruit and grow a 100+ engineering organization to deliver enterprise-grade AI for Fortune 500 customers.

As a Software Engineering Co-op, you'll execute projects independently, engage with AI technologies, and collaborate on innovative ICT solutions to develop your engineering skills.

The Principal AI/ML Engineer will lead the AV ML Infra team, overseeing scalable ML infrastructure, project ownership, collaboration, and team mentorship in AI and ML innovation at GM.

Lead research into vulnerabilities and defenses for LLMs and agentic systems. Perform deep-dive analysis of prompt injection, RAG pipelines, tool integrations, and autonomous agent security; map findings to industry frameworks; develop testing methodologies and publish thought leadership.

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.

As a Senior ML Engineer, you'll design and deploy advanced machine learning systems for autonomous vehicles, ensuring real-time performance and robustness in diverse conditions. You'll lead technical projects, mentor engineers, and collaborate across teams to enhance onboard capabilities.

The Knowledge & Innovation Lawyer will draft and manage legal documents, provide legal expertise, monitor market trends, and support training and business development for the Debt Finance practice.

As an RFM AI Governance Manager at PwC, you will lead teams in developing AI governance frameworks, conduct risk assessments, and mentor junior staff, ensuring compliance with regulations and firm policies.

As a Senior Machine Learning Engineer, you will manage the entire lifecycle of safety-critical ML perception models, optimize performance, and ensure reliable deployment on embedded systems.

As a Staff AI/ML Engineer, you'll enhance developer productivity, mentor engineers, drive best practices, and implement scalable solutions for AV tools and services.

As a Research Product Manager, you will oversee complex research programs, turning technical ideas into execution plans and aligning research with production systems to enhance AI capabilities.