Artificial Intelligence Jobs in Sunnyvale, CA

Provide legal guidance on AI-powered product features, conduct company-wide AI reviews, partner with engineering/product/security/privacy, communicate complex legal and technical concepts, and build scalable AI governance and compliance processes.

Build and scale AI data and ML infrastructure: evaluation systems, fine-tuning pipelines, agent-first product surfaces, high-throughput data workflows, and integrations of new models into production.

Design and validate pre-built fraud detection models and cold-start scoring for payments and onboarding. Analyze large-scale consortium data to derive deployable features, test AI agent logic, and collaborate with Product, Engineering, and Strategy to productionize ML and LLM solutions with strong statistical rigor.

Rapidly prototype and iterate AI-powered features (LLMs, embeddings, real-time audio, APIs), lead experiments from hypothesis to proof-of-concept, collaborate with product and engineering to translate prototypes into product-aligned solutions, and share learnings and artifacts to accelerate team innovation.

Design and scale the infrastructure for Fury's AI model training and deployment, ensuring efficient data pipelines and collaboration with AI teams.

Lead technical product marketing for AI compute, owning positioning, competitive strategy, and technical content. Translate systems-level innovations into customer and executive narratives, drive competitive intelligence, support launches, and lead a technical product marketing team aligned with product, engineering, and sales.

The Full Stack AI Engineer will redesign AI-native codebases, implement front-end and back-end features, work with LLMs, and shape product outcomes collaboratively.

Lead NVIDIA's storage strategy for AI Cloud, focusing on high-performance storage solutions for critical workloads, mentoring engineers, and influencing technical direction across teams and external partners.

As a Solutions Architect at NVIDIA, you'll develop and deploy AI systems, optimize performance, and collaborate with partners to integrate AI solutions into enterprise environments.

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

The Principal Software Research Engineer will lead research in distributed systems, develop innovative solutions, interface with sponsors, and transition research to product development while managing project proposals and reports.

Drive architecture and implementation of Databricks AI Runtime for large-scale GPU training. Build scheduling, distributed training performance, resilience, observability, and developer-facing APIs/CLI. Improve GPU utilization, fault tolerance, and multi-node orchestration. Lead cross-team initiatives, mentor engineers, and deliver high-impact platform features supporting thousands of accelerators and long-running jobs.

Design, build, and scale Databricks AI Runtime for large-scale GPU training. Lead architecture and implementation of multi-node orchestration, scheduling, checkpointing, resilience, throughput optimization, observability, and developer tooling. Mentor engineers, partner with product and research, and deliver high-impact production rollouts supporting thousands of accelerators and diverse model workloads.

As a Senior AI Solutions Architect, you'll drive the use of NVIDIA AI solutions, support developers, and analyze application architectures to enhance performance.

The role involves integrating AI supercomputing systems into datacenters, collaborating with engineering teams, and producing documentation for processes related to datacenter integration and fit-out.

Own the product roadmap for physical AI agents, translate cutting-edge research into developer-facing features, build evaluation metrics and quality frameworks, engage with developers and enterprise users, shape the open ecosystem, and drive cross-functional execution across research, engineering, hardware, design, and GTM.

Senior technical leader responsible for architecting production-grade AI infrastructure for media & entertainment partners. Translate business needs into scalable GPU, storage, networking and inference solutions; validate ISV integrations; influence product roadmap; engage CTO-level stakeholders; and grow a team as the vertical scales.

The Research Scientist will lead hands-on research in Conversational AI, advocate for new AI applications, mentor junior researchers, and contribute to publications.

As a Senior Hardware Systems Engineer, you will lead AI rack and cluster infrastructure designs, manage deployments, and collaborate with cross-functional teams to optimize data center solutions.

Lead and oversee the development and operations of AI infrastructure orchestration, focusing on team management, strategic vision, and technology integration.

The role involves leading the AI narrative for Harness, collaborating across teams to position AI capabilities, and producing thought leadership content.

As a Founding Account Executive, you will drive the sales cycle, generate leads, become a product expert, and expand customer accounts, all while serving as a trusted advisor on voice AI solutions.

As a Senior AI Engineer, you'll develop and deploy AI agents, focusing on model fine-tuning, infrastructure, and user interaction across social platforms, ensuring reliability and engagement.

As an AI/ML Engineering Intern, you'll assist in building data pipelines, optimizing distributed systems, and deploying machine learning applications, gaining hands-on experience with advanced AI technologies.

As a Senior Formal Verification Engineer, you will develop verification strategies and environments for AI SoCs, ensuring the correctness of digital designs through formal verification methods and collaboration with engineering teams.