Artificial Intelligence Jobs in Santa Clara, CA

Join Hiring.Cafe as a Founding Machine Learning/AI Search Engineer to develop AI recommender systems and scalable infrastructure, contributing to a transformative job search engine.

Lead a team developing agentic AI solutions, manage AI applications using LLMs, provide technical direction, and foster a high-performance team culture.

The Senior Systems Software Engineer will optimize AI stack readiness for the DGX Station, focusing on application performance, DL framework analysis, system-level optimization, and collaborating with cross-functional teams to enhance multi-GPU capabilities and ensure product effectiveness.

The Solutions Architect will design GPU-accelerated data pipelines, develop proof-of-concepts, and integrate NVIDIA's technologies with OEM partners, focusing on AI and security workflows.

Develop tools for AI workload profiling and debugging in GPU clusters, collaborating with various teams to enhance performance and efficiency.

The role involves collaborating on AI GPU deployment, optimizing performance, mentoring engineers, and improving user experience on NVIDIA RTX platforms.

The Developer Relations Manager will engage research labs to promote NVIDIA's AI platforms, assess institutional opportunities, provide technical guidance, and connect with researchers to drive product development and collaboration.

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.

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

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.

The Senior Software Engineer will innovate in AI, lead software development lifecycle, design microservices, mentor peers, and ensure engineering excellence.

Develop cutting-edge AI and ML solutions for aerospace applications, collaborate with researchers, and transition prototypes into production-ready systems while staying updated with industry innovations.

As a Staff AI Research Engineer, you will develop AI solutions, implement machine learning algorithms, benchmark techniques, and transition prototypes to production.

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.

Lead end-to-end silicon diagnostic pipeline using AI/ML to analyze scan failures and process data, build models for failure classification and predictive yield, orchestrate AI-based EDA tools, and drive cross-functional root-cause analysis to improve yield and time-to-market.

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 Director of Machine Learning Science at Expedia, you'll lead Content AI strategy, oversee AI innovation, and build a world-class team to enhance content generation and relevance across platforms.

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.

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.