Artificial Intelligence Jobs in Sunnyvale, CA

The Senior Manager, PR will lead communications strategies to enhance awareness of AI applications across various industries, collaborate with leaders, and manage media relations for impactful coverage.

The role involves leading AI networking systems development, managing customer engagements, and collaborating on product architecture with a focus on performance and reliability.

Lead technical engagements with customers, developing AI solutions, optimizing workloads on GPUs, and collaborating cross-functionally to improve infrastructure efficiency.

Collaborate with AI/ML researchers to identify and fix infrastructure and application inefficiencies on GPU clusters; build tools and ML-based analyzers; monitor fleet utilization; optimize hardware, software, and distributed training/inference performance; and promote adoption of efficient AI/ML practices.

As SoC Product Architect, define architecture for AI native telecom products, conduct workload analysis, drive competitive analysis, and collaborate on software integration while presenting technical content to clients and partners.

Drive the development of AI kernel generation products, working with internal and external teams to optimize workflows and enhance performance of AI deployments.

The Advanced AI Architect designs and implements scalable AI architectures, collaborates with clients, evaluates technologies, and creates AI solutions for various business needs.

Lead MarTech integration architecture and build an agentic AI and automation layer across Salesforce, Marketo/HubSpot, CDPs, and attribution systems. Design API-first, event-driven integrations, data models, reusable components, and multi-agent workflows. Partner with marketing teams to prototype, deploy, and measure AI-powered automation that speeds campaign execution, improves pipeline, and reduces manual handoffs.

Manage and scale a team of AI Outcomes Managers to drive customer adoption, enablement, and measurable business value from Glean's AI products. Build prescriptive adoption playbooks, engage executives, partner cross-functionally, synthesize field feedback to influence product, and design ROI/adoption metrics while evangelizing AI outcomes best practices.

Own and scale the Nx-based monorepo, build system, and CI/CD to make builds, tests, and developer workflows fast, reliable, and observable. Build developer tooling, local dev stacks, and production-grade developer infra with SLOs, on-call, and measurable DX improvements.

Design and build full-stack user interfaces and backend services, integrate AI/ML features (predictive maintenance, diagnostics), define APIs and reusable AI patterns, migrate monoliths to containerized microservices, and improve developer experience with agentic AI and CI/testing automation in a regulated product environment.

Lead end-to-end delivery of AI deployments for financial services clients: define features, translate business needs into technical specs, run agile sprints, drive adoption and change management, ensure measurable program outcomes, and expand commercial relationships while collaborating with engineers, product, design, and investment teams.

The Incident & Problem Manager manages high-severity incidents and leads teams in a 24/7 environment, communicates with executives, and drives process improvements.

The Machine Learning Engineer will design and deploy multi-modal models while collaborating with cross-functional teams to translate research into production-ready solutions, focusing on climate change mitigation.

As a Software Research Engineer, you will innovate solutions, lead projects in distributed systems, and interface with stakeholders. You'll write proposals and transition technologies to products.

Manage full desk recruiting for technical roles in AI and robotics, collaborating with hiring managers to optimize processes and enhance candidate experience.

The Senior Machine Learning Engineer will enhance recommendation systems, employ AI/LLM technologies, and drive AI innovation for content discovery and user engagement.

The role involves leading technical directions for recommendation systems and AI initiatives, driving adoption of AI technologies, and mentoring others in system-level thinking.

The Managing Partner will lead enterprise sales, managing multi-million dollar pipelines and fostering strategic partnerships with AI labs and Fortune 500 clients.

The Data Scientist will develop analytical models and AI solutions, collaborate with teams, and enhance business operations with data insights.

As a founding Solutions Engineer, you will lead technical discovery, run POCs, and ensure successful customer integration while collaborating with product and revenue teams.

As a Senior Software Engineer at Tenstorrent, you will develop AI compiler technologies, optimize computational graphs, and enhance MLIR frameworks to connect AI models with hardware.

The Physical Design Engineer will lead efforts in solving physical design challenges, improve RTL-to-GDS methodologies, and integrate AI/ML solutions into CAD flows, focusing on performance and runtime improvements.

Design and build an AI-driven account management and optimization platform using LLMs and agentic systems. Create diagnosis and recommendation models, ensure reliable long-running services with observability and safeguards, and collaborate with ad delivery and product teams to improve advertiser performance and revenue.

The job involves developing core libraries for agent-based applications, optimizing performance, and creating tools for scalable deployment of autonomous systems.