Artificial Intelligence Jobs in Sunnyvale, CA

Design, build, and scale AI-enabled workflow and automation solutions across collaboration platforms and enterprise systems. Translate manual processes into secure, reusable, event-driven automations using Python/JavaScript, integrate AI capabilities like Gemini, implement logging and telemetry, and partner with product, security, and business teams to deploy and sustain enterprise transformation solutions.

Senior Software Engineer focused on AI infrastructure performance insights and observability. Responsible for designing and building monitoring, instrumentation, metrics, and tooling to measure and optimize compute and platform performance while collaborating with infrastructure and ML teams.

Lead and grow a global UX research organization focused on AI-driven product experiences. Define AI-native research strategies, embed modern evaluation and prompt-engineering practices, influence product and executive stakeholders, mentor managers, and translate research into actionable product decisions to improve generative AI workflows and employee experiences.

Source and screen passive technical talent across AI, machine learning, robotics, computer vision, SoC, digital health, and data science roles, including Director-level executives. Develop multichannel sourcing strategies, analyze market data, advise recruiters and hiring managers, build diverse talent networks, promote employer branding, and track recruiting conversion metrics.

Lead the vision, strategy, roadmap, and portfolio for AI-powered skilling products serving learners, managers, and enterprises. Partner with Design, Engineering, Marketing, content providers, and platform teams to deliver trustworthy LLM-powered experiences, measurable learning outcomes, credentials, and enterprise integrations. Drive product quality, adoption, retention, go-to-market strategy, and customer value while managing and developing Product Managers and product leaders.

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.

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

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.

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.

The AI Infrastructure Product Marketing Manager leads the product marketing efforts for CoreWeave's AI cloud infrastructure, developing key narratives, messaging, and GTM strategies. Responsibilities include customer engagement, creating marketing materials, measuring impact, and collaborating with sales and engineering teams to drive adoption.

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.

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

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

Lead design and delivery of production-grade AI capabilities to improve developer productivity across engineering tools, CI/CD, and embedded software workflows. Define technical vision, integrate AI into toolchains, drive productionization, establish responsible AI standards, mentor engineers, and influence cross-functional roadmaps and implementations.

Senior individual contributor designing and deploying onboard ML solutions for autonomous driving. Develop models (detection, tracking, trajectory, safe AI), build training pipelines and deployment tooling, translate research into production, collaborate cross-functionally, and mentor engineers.

Design, implement, and deploy ML models for autonomous driving (detection, tracking, trajectory generation). Apply advanced techniques (imitation learning, RL, foundation models), collaborate cross-functionally, and support production ML systems and model deployment.

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

Lead architecture and technical strategy for AI-driven product quality systems using LLMs and agents. Build scalable evaluation frameworks, detect regressions, generate insights, and drive cross-functional adoption while mentoring engineers and defining standards for trustworthy AI.

Lead technical program management for humanoid robotics research operations. Coordinate researchers, engineers, lab operations, vendors, hardware partners, data workflows, equipment procurement, and multiple concurrent workstreams. Track priorities, blockers, milestones, integrations, and deliverables while communicating status to technical teams and leadership. The role requires technical fluency in AI, machine learning, robotics, Python, and related frameworks, plus English and Mandarin proficiency and in-person work at NVIDIA’s Santa Clara headquarters.

Leads product positioning, messaging, go-to-market strategy, launches, segment campaigns, technical content, competitive differentiation, and global sales enablement for FlashBlade//EXA scalable AI and HPC storage solutions. Partners with Product Management, Sales, and Corporate Marketing to drive adoption, revenue growth, and market leadership across enterprise, life sciences, financial services, and academic customers.

Lead development and implementation of AI legal and compliance frameworks. Conduct cross-functional AI reviews, maintain governance docs (model cards, impact assessments), partner with engineering on transparency and fairness requirements, build incident response and monitoring processes, and scale AI legal review workflows.

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

Represent life sciences and technology clients in licensing, collaboration, and commercial partnering transactions. Negotiate patent licenses and collaborations for therapeutics, vaccines, diagnostics, and digital health. Work closely with founders and corporate teams; engage with AI-driven biotech clients. Superior academics and strong oral, written, and interpersonal skills required. Must be barred or eligible to sit/waive into the next bar exam. Submit cover letter, resume, and law school transcript.

Design, build, test, deploy, and support AI-enabled software and ML services (including LLMs, RAG, and Generative AI). Integrate models, build APIs and CI/CD, troubleshoot production issues, collaborate cross-functionally, and ensure secure, compliant software in regulated healthcare environments.

Lead design and deployment of scalable ML platforms and tools, manage complex technical projects, mentor junior engineers, and collaborate across teams to enhance autonomous driving systems.