Artificial Intelligence Jobs in Santa Clara, CA

As an Applied AI Engineer at Luminai, you will design experiments, optimize machine learning models, and enhance AI platforms for healthcare automation.

The AI Product Owner Leader will define the vision and roadmap for AI products, prioritize use cases, and coordinate with business and IT teams to deliver impactful AI solutions in global operations.

The Senior Product Manager will oversee the customer product experience for fleet management and vehicle repair, focusing on AI, integrations, and workflow design, driving cross-functional collaboration and leading product delivery.

The AI Application Engineer drives AI transformation in semiconductor test workflows, leading customer engagements and collaborating globally to deploy innovative AI solutions.

Build and productionize internal AI-powered tools and data systems. Implement and maintain infrastructure, data pipelines, deployments, monitoring, and access controls. Integrate third-party AI services, ensure data quality, document systems, and collaborate with stakeholders to deliver maintainable solutions.

The role involves designing AI agents, integrating with customer systems, and ensuring successful deployments while providing technical validation and capturing feedback for improvements.

Design and operate petabyte-scale end-to-end data pipelines for autonomous driving: onboard upload, cloud preprocessing, dataset production, and model training input. Build data cleaning, annotation QA, lineage, versioning, metadata management, and high-throughput distributed processing. Optimize I/O, memory, transmission, and containerized deployments; support cross-team collaboration and algorithm iteration.

Build production-ready backend components that interface directly with LLMs, create tooling to automate LLM-in-the-loop testing, design and validate LLM-based solutions using real biomedical data, and develop metrics to measure model performance and reliability under production load.

Lead Marvells enterprise AI tools strategy and drive adoption end-to-end: evaluate and procure tools, build vendor partnerships, design enablement and change management programs, advise executives, partner with HR/IT and AI Governance, and hire and scale the Enterprise AI Transformation team to embed AI responsibly across the company.

Design, build, deploy, and operate large-scale GPU cloud infrastructure and tooling for AI training and inference. Perform performance analysis, capacity management, monitoring, automation, incident response, and lifecycle support for distributed multi-GPU/multi-node systems.

The role involves managing training infrastructure, implementing distributed training algorithms, and collaborating with AI researchers on model training.

The Product Manager for Physical AI Agents will define the product roadmap, translate AI capabilities into features, and ensure quality evaluation for robotic agents while collaborating with research and engineering teams.

The role involves synthesizing, placing, and routing high-speed designs, collaborating with RTL teams, and optimizing designs for power/performance area.

The Sales Strategy and Operations Manager leads complex sales opportunities, develops ROI models, engages executives, and coordinates cross-functional input for compelling proposals.

The Senior Software Engineer will work on optimizing open-source LLM inference, enhancing performance on NVIDIA GPUs, and collaborating on production-ready solutions.

The role involves building AI applications, serving as a technical expert for partners, and developing prototypes using NVIDIA's Generative AI platforms.

The role involves collaborating with customers to optimize AI workloads, leading proof-of-concepts, and developing software for NVIDIA's AI frameworks while ensuring clear communication and team collaboration.

Lead development of XR-based teleoperation and data-collection systems for robotics, support partner onboarding and integrations, write docs and sample code, triage partner issues, review partner OSS contributions, optimize CloudXR/Omniverse/Isaac performance, and coordinate cross-functional NVIDIA teams to drive partner adoption.

Lead technical performance analysis and optimization of large-scale AI/HPC clusters. Diagnose cross-component bottlenecks, build and maintain benchmarking suites, collect and transform telemetry into time-series dashboards, and collaborate with engineering, field teams, and customers to resolve configuration and performance issues.

The Principal Engineer for AI/ML at McAfee leads the design and deployment of scalable AI solutions, mentors engineers, and drives technical strategies in a hybrid work environment.

Lead the optimization and performance analysis of distributed training and inference workloads on NVIDIA GPU platforms, with responsibilities including debugging, benchmarking, and ensuring reliability of large-scale AI systems.

As a Sales Executive, you will hunt for new clients, manage enterprise accounts, and create revenue streams while collaborating with internal teams.

The AI Robotics Researcher will conduct research in embodied AI, robotic manipulation, and world modeling, developing models and algorithms for dexterous robotic systems while collaborating to translate research into practical implementations.

Responsible for building AI frameworks for recommender systems on NVIDIA GPUs, developing product strategies, and collaborating with customers to enhance ML lifecycle products.

Lead the architectural development of AI agent frameworks for Windows, optimize performance on NVIDIA GPUs, and mentor engineers in deployment best practices.