Artificial Intelligence Jobs in Sunnyvale, CA

Manage developer and partner ecosystems for Edge AI and Functional Safety, guiding technical integration and adoption of NVIDIA technologies.

Seeking Machine Learning Systems Engineers to build end-to-end 3D native ML systems, focusing on training and inference challenges.

The AI Infrastructure Engineer designs, develops, and optimizes core capabilities for the AI inference platform, focusing on reliability, scalability, and operability of infrastructure and services.

You will design and build high-performance graphics systems for 3D generative AI, collaborating closely with artists and researchers to innovate production pipelines.

As a Generative AI Researcher Intern, you will develop large-scale 3D generative models, bridge research and product development, and collaborate with teams to advance 3D AI applications.

As a Software Engineer for Agentic AI Systems, you will collaborate on AI projects, build robust code, and apply machine learning models to improve enterprise solutions, while working closely with a team of experts.

As a Senior Software Engineer, you'll scale and optimize a Generative AI product, enhance infrastructure, design APIs, and collaborate with teams to build robust solutions.

Lead the evolution of AI agent systems, manage technical designs, mentor engineers, and collaborate with cross-functional teams to advance enterprise AI systems.

The role involves designing and enhancing AI agent systems, implementing AI algorithms at scale, programming in Python, Golang, and Java, and mentoring other engineers.

This internship opportunity is for students in computer engineering or AI to work on distributed systems at Bedrock Security.

Lead and scale forward-deployed engineering pods to convert complex customer workflows into production AI agent deployments. Build operating cadence, quality bars, deployment playbooks, partner with product, and hire/coach leaders while staying technically hands-on to ensure reliable, observable, and safe agent systems.

As an AI/ML Engineer, you will design and deploy models for real-world applications, optimize data pipelines, and engage with global leaders to enhance AI technology's impact across sectors like healthcare and government.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

The Senior Product Manager will lead AI-powered product experiences by prototyping, engaging customers, and integrating brand with product development.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

Partner with executive sponsors and end users to identify high-impact AI use cases on Glean, run discovery workshops, scope pilots, build AI agents, drive adoption and expansion, and translate business needs into measurable outcomes.

Drive innovation for GPU clusters through platform management, identify gaps, develop projects, and engage with partners. Manage product roadmaps and self-service operations.

The role involves designing AI models and training methods leveraging wafer-scale hardware and collaborating with various teams and partners in AI and computational science.

The R&D Engineer will design and implement performance workloads on Cerebras' wafer-scale hardware, collaborating across teams to advance AI and scientific computing. Responsibilities include optimizing performance models, contributing to the technology roadmap, and publishing research findings.

Develop and implement manufacturing test solutions for high-performance AI servers, focusing on automated testing, collaboration with teams, and debug analysis.

Drive adoption of AI inference platform across large enterprises, own sales cycle, lead technical evaluations, engage executive stakeholders, and shape GTM strategy.

The Embodied AI Researcher will conduct research on robotic foundation models and embodied intelligence, collaborating with cross-functional teams and integrating robotics products.

Design AI-driven user interfaces for GeminiApp, collaborating with engineers and product managers. Responsibilities include crafting intuitive experiences and innovative designs for complex software applications.

Design and develop machine learning models for multimodal data integration, collaborating with scientists and engineers to create scalable solutions.