Artificial Intelligence Jobs in Sunnyvale, CA

In this role, you'll scale and optimize a Generative AI product, develop product infrastructure, design API abstractions, optimize conversational features, ensure coding quality, and collaborate with cross-functional teams.

The Software Engineer will scale and optimize Generative AI products, develop scalable APIs, improve system performance, and collaborate with cross-functional teams to enhance the conversation engine.

The role involves leading AI agent system engineering, implementing cutting-edge AI algorithms, and mentoring team engineers. Responsibilities include enhancing products using machine learning and collaborating with various departments to create impactful AI solutions.

The Senior Machine Learning Engineer will develop and enhance Moveworks' NLU and agentic AI capabilities, deliver production-quality code, and solve complex engineering challenges in conversational AI.

Lead architecture, design, and deployment of low-latency edge AI for vehicle cabin features. Optimize ML models for automotive compute, integrate with AAOS/QNX, mentor senior engineers, set engineering standards, and prototype new AI capabilities.

Responsible for managing the product life cycle and safety of NVIDIA's self-driving software, ensuring timely delivery and compliance with ISO 26262 by collaborating with engineers and stakeholders.

As a Staff AI/ML Engineer, you'll enhance developer productivity, mentor engineers, drive best practices, and implement scalable solutions for AV tools and services.

The Software Test Engineer tests software, logs defects, collaborates with teams, and enhances test strategies and processes to ensure high-quality project delivery.

As a Senior Machine Learning Engineer, you will manage the entire lifecycle of safety-critical ML perception models, optimize performance, and ensure reliable deployment on embedded systems.

Co-develop advanced reasoning architectures and agentic experiences for AI Assistant, collaborating with cross-functional teams to deliver impactful products.

The Staff Product Designer will create AI-powered design solutions, collaborating with clients to transform user needs into functional UI/UX, and leading strategic design initiatives for ServiceNow deployments through prototyping and stakeholder engagement.

The Engagement Manager will drive customer adoption of AI solutions, ensure successful deployments, and build strong relationships with enterprise clients to achieve transformational value with AI tools.

The Investor role involves sourcing and evaluating early-stage investment opportunities in AI and related fields, communicating investment cases, and maintaining strong relationships with founders and investors.

The role involves leading the architecture and development of evaluation tools for AV models, focusing on performance measurement and visualization, while collaborating with various teams to optimize data usage and ensure model efficacy.

As a Research Product Manager, you will oversee complex research programs, turning technical ideas into execution plans and aligning research with production systems to enhance AI capabilities.

The Senior ML/AI Engineer will enhance developer productivity for AV engineers at GM by designing, implementing scalable, reliable systems and mentoring team members.

Design and develop AI/ML solutions, focusing on scalable software and user experience, while collaborating across teams to integrate generative AI technologies.

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

Design and implement highly scalable microservices and platform components for AI detection services. Drive operational excellence and mentor team members.

The role involves researching, designing, and prototyping generative AI solutions for cybersecurity. Responsibilities include building datasets, training models, and presenting findings to various audiences.

The role involves architecting AI applications, delivering scalable solutions, conducting research, and implementing high-quality code for cloud platforms. Requires collaboration and effective communication.

Design and run scalable 1-to-many onboarding and adoption programs, build reusable technical assets (playbooks, templates, notebooks), and use product signals to segment customers, measure impact, and feed insights back to Product, Support, and Field Engineering.

The AI Native Account Executive will manage the sales pipeline, achieve revenue quotas, understand client needs, and promote Cloud solutions.

Partner with account teams to design, prototype, and deliver PoVs for ML and GenAI systems using Weights & Biases and CoreWeave. Lead technical demos, architect distributed training/inference, translate business goals into measurable outcomes, and advise on MLOps/LLMOps best practices while feeding customer insights to product and engineering.

Lead a team of engineers in developing AI data platform services, focusing on system design, execution, and team culture. Oversee project outcomes and mentor team members.