Artificial Intelligence Jobs in Sunnyvale, CA

As an AI Product Engineer, you will develop and deploy AI-driven software solutions, collaborate with customers, and optimize applications for real-world impacts.

The AI/ML Engineer will design and deploy advanced AI models, optimize performance, and directly engage with government officials to transform industries through innovative AI solutions.

Design and build an end-to-end AI Flywheel: mine edge cases, orchestrate multi-node distributed training, automate evaluation/selection, package and deploy models, and scale continuous learning across a fleet of autonomous trucks.

Design and develop large-scale multimodal transformer models that fuse camera, LiDAR, and radar. Research cross-modal attention and token-fusion strategies, build scalable distributed training pipelines, explore self-supervised/contrastive pretraining, and optimize models for real-time, low-latency inference.

Design AI/BI product experiences that make natural-language data queries and AI-generated insights intuitive, transparent, and actionable. Lead end-to-end design from exploration to validation and action, collaborate with product and engineering, define AI-native enterprise patterns, and influence long-term AI/BI strategy.

The Growth Lead will drive the go-to-market strategy and user acquisition for an AI-powered SaaS product targeting SMBs, focusing on growth from launch to scale via effective user engagement tactics.

Lead the go-to-market strategy and execution for a new AI-powered consumer product, focusing on customer acquisition through various channels and optimizing performance metrics.

Seeking a hands-on Growth Lead to launch and drive user acquisition for a new consumer AI product, with ownership of growth strategies and metrics.

The Growth Associate & Product Launch Coordinator will support the launch of an AI consumer product, focusing on user acquisition, go-to-market planning, and onboarding improvements while working with the Head of Growth and product team.

The Senior Product Manager for Agentic AI will build a platform for coordinating AI agents, improving enterprise efficiency, and enhancing decision-making through agentic systems.

As an AI Engineer, you will develop new AI products, iterate with a small team, and apply various GenAI techniques to enhance educational experiences.

The role involves leading product engineering and manufacturing execution across North America, ensuring quality and performance of NVIDIA products by troubleshooting, coordinating with manufacturers, and analyzing factory data.

The Principal Product Manager will lead AI-enabled solutions in service delivery, collaborating with cross-functional teams to identify opportunities and drive operational improvements, ensuring high-quality outcomes.

The Staff AI Product Designer will lead the design process for AI products, collaborating with diverse teams to create user-centered solutions and drive product strategies while ensuring ethical design practices.

Design and develop a C++-based system for simplifying and accelerating computing in DL and HPC, alongside evaluating performance and improving library quality.

Develop AI systems for efficient inference, design and optimize kernels, and build domain-specific compilers and runtimes while collaborating with engineers.

Develop groundbreaking techniques to accelerate AI workloads on NVIDIA GPUs. Optimize performance of complex AI systems and collaborate with experts in the field.

Lead the design of a distributed backend streaming engine with a focus on high availability and AI integration, ensuring low latency and high throughput.

Lead and evolve Coupang's core search experience using AI and machine learning, driving innovation, product direction, and measurable business impacts.

As an Engagement Manager, you will manage client relationships, lead AI consulting projects, and support business development efforts, all while enhancing enterprise AI adoption.

Fullstack Engineers at Commure will build health-tech products and enhance revenue cycle management systems, collaborating closely with clients and working across various technology stacks.

Lead and grow the Frontend Platform team for Ambient AI products, focusing on performance, reliability, and cross-functional collaboration while ensuring high standards for technical execution.

Build end-to-end products for Ambient AI, work across the software stack, and engage with customers. Requires strong programming skills in Python and familiarity with frontend technologies and cloud services.

Design, develop, and optimize algorithms for oneDNN targeting Intel processors and graphics. Conduct performance analysis and contribute to low-level tuning and optimization efforts, collaborating with cross-functional teams and engaging with the open-source community.

Directs and manages design verification engineers for Subsystem and SoC design, enhances verification processes, and ensures security compliance while leading team performance.