Artificial Intelligence Jobs in Fremont, CA

The Associate AI Platform Architect will design and implement intelligent workflows, support customer success, collaborate with teams, and drive operational excellence using AI frameworks and the Flow Builder platform.

As an AI Application Engineer, build and deploy Agentic AI applications for Fortune 500 companies, analyze customer requirements, and enhance the GenAI performance.

Drive strategy and execution for AI products, prototype AI workflows, collaborate with teams, and engage with customers to deliver impactful solutions.

As a Backend AI Engineer at DeepSearch, you will develop and optimize AI models, enhance product features, and collaborate with teams to improve search capabilities.

The AI Researcher & Engineer will develop AI models and systems, optimize product features, and collaborate on search capabilities to enhance user experience.

The AI Controls Engineer develops and deploys reinforcement learning models for robotics, integrating perception for collision-free locomotion and manipulation tasks.

Drive large-scale process transformation using AI agents, collaborating with stakeholders to develop and implement enterprise-level AI solutions, and mentoring teams.

The role involves designing and optimizing HPC and ML frameworks, developing software for generative models, and collaborating with various teams to improve performance.

Lead the architecture, design, and deployment of scalable DC AI clusters. Collaborate with teams for performance improvement and technology selection.

Lead the design and implementation of AI services. Build scalable infrastructure for handling AI requests and collaborate across teams to shape future AI products.

The Senior Solutions Architect will design and support AI infrastructure using NVIDIA GPUs, engage with technical stakeholders, and ensure successful implementation of solutions to enhance customer satisfaction.

This role leads sales for Astra, focusing on new business and expanding existing customers while shaping growth strategies and product launches.

The Product Manager, AI Operations will optimize operational processes, build AI-driven automations, and drive impactful operational changes across teams. This is a collaborative role bridging technical and operational gaps.

Join the Fury Team as an AI Engineer to develop AI models for autonomous systems, designing architectures and integrating ML for real-time applications.

The AI Researcher will lead research in embodied intelligence for defense systems, focusing on reinforcement learning, vision-language modeling, and building scalable AI models for autonomous applications in real-world environments.

The Senior/Staff AI Researcher will lead research in Generative AI, focusing on model improvement, algorithm development, and product integration while managing cross-functional collaborations and monitoring industry trends.

The role involves designing LLM architectures, developing training strategies, and translating research into production systems for AI models.

As an AI Product Manager, you will lead the entire product lifecycle, innovate the product-market fit, and manage AI agent performance while driving global execution.

As an AI Artist at OpusClip, you'll refine AI video content, develop prompts, and innovate creative processes in AI storytelling, collaborating closely with the AI team.

Lead the strategy and development of AI hardware systems, managing teams and overseeing the product lifecycle from design to production.

The Manager of AI Infrastructure Operations leads the reliability and performance of AI compute infrastructure, manages escalations, and drives reliability initiatives.

The Senior Product Manager will oversee AI workflow development, drive product strategy, collaborate with engineering, and translate customer insights into actionable features.

Lead the development and management of AI infrastructure, ensuring optimal performance of systems and providing mentorship to engineers while deploying advanced AI models.

The AI Infra Engineer will design, deploy, and optimize AI training and inference infrastructures using Kubernetes and Slurm while developing APIs and managing distributed systems.

Lead the design and delivery of large-scale solutions in Generative AI and Big Data, while mentoring teams and driving innovation.