Artificial Intelligence Jobs in Santa Clara, CA

The role involves building AI tools and coding agents, fine-tuning LLMs, and collaborating on product features to support CUDA developers at NVIDIA.

Drive adoption of AI inference platform across large enterprises, own sales cycle, lead technical evaluations, engage executive stakeholders, and shape GTM strategy.

Develop and implement manufacturing test solutions for high-performance AI servers, focusing on automated testing, collaboration with teams, and debug analysis.

As a Senior AI Engineer, you will architect AI systems for marketing, build generative pipelines, and ensure compliance with privacy standards, all while leading MLOps processes.

The role involves designing and implementing machine learning algorithms, collaborating with teams, and transitioning research into production, focusing on natural language processing and multimodal tasks.

The role leads product strategy for agentic AI, balancing design, technical implementation, and compliance, while using analytics to measure success.

The role involves designing AI models and training methods leveraging wafer-scale hardware and collaborating with various teams and partners in AI and computational science.

The R&D Engineer will design and implement performance workloads on Cerebras' wafer-scale hardware, collaborating across teams to advance AI and scientific computing. Responsibilities include optimizing performance models, contributing to the technology roadmap, and publishing research findings.

The Product Manager will lead customer service experience improvements, prioritize product features, and collaborate with cross-functional teams to deliver impactful results using data and agentic AI.

Lead the go-to-market strategy for an AI-powered product, oversee product releases, collaborate with teams, and drive market positioning.

Lead a 50-person team focusing on AI training, overseeing performance, managing client engagement, and ensuring successful project deliveries.

Lead product strategy and architecture for on-prem AI solutions, engaging with ISVs and OEMs to deliver integrated solutions and drive adoption within the partner ecosystem.

Develop and optimize end-to-end data pipelines for autonomous driving, ensure data quality, and support model training through efficient data management processes.

Lead the AI strategy and programs for the PSM organization, focusing on AI-driven initiatives, tools integration, and stakeholder alignment to enhance productivity and business outcomes.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

Develop scalable data pipelines for autonomous driving, enhancing data extraction and labeling processes, and collaborating with cross-functional teams on ML models.

The AI Research Engineer designs and optimizes AI systems for enterprise automation, collaborating across teams to improve efficiency and decision-making.

Responsible for architecting AIOS solutions, leading proof-of-concepts, collaborating with engineering teams, defining roadmaps, and delivering project requirements.

Drive the development of AI kernel generation products, working with internal and external teams to optimize workflows and enhance performance of AI deployments.

The role involves architecting and leading the development of a neuromorphic AI execution stack, focusing on firmware, runtime, and performance infrastructure while collaborating with multiple teams for integration and optimization.

This role involves improving AI and ML infrastructure for researchers by identifying bottlenecks, optimizing performance, and collaborating with diverse teams.

The role involves leading AI networking systems development, managing customer engagements, and collaborating on product architecture with a focus on performance and reliability.

Collaborate with AI/ML researchers to identify and fix infrastructure and application inefficiencies on GPU clusters; build tools and ML-based analyzers; monitor fleet utilization; optimize hardware, software, and distributed training/inference performance; and promote adoption of efficient AI/ML practices.

As SoC Product Architect, define architecture for AI native telecom products, conduct workload analysis, drive competitive analysis, and collaborate on software integration while presenting technical content to clients and partners.

Develop advanced algorithms for AI model training, conduct research in robotics, and implement control algorithms for manipulation in robots.