Artificial Intelligence Jobs in San Jose, CA

Design and execute benchmarking methodologies for large-scale HPC/AI clusters, build and maintain telemetry/observability stacks (Prometheus, Grafana, DCGM), analyze performance across host, network and facility metrics, collaborate with hardware/software teams and customers to identify bottlenecks and optimize workloads, and contribute new benchmarking approaches for emerging workloads.

Design and implement compiler optimization algorithms for deep learning inference, collaborate with framework and GPU architecture teams, define public APIs, and deliver high-performance AOT and JIT compilation with reduced memory and fast build times.

As an AI/ML Engineer, you will design and deploy models for real-world applications, optimize data pipelines, and engage with global leaders to enhance AI technology's impact across sectors like healthcare and government.

This internship opportunity is for students in computer engineering or AI to work on distributed systems at Bedrock Security.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

As a Staff AI Solutions Architect, you will design, implement, and deploy AI solutions for cybersecurity, ensuring performance and security in production environments while mentoring engineers and collaborating across teams.

The VP will lead the North American HPC GTM strategy, manage a large sales team, oversee P&L, and nurture client relationships while achieving revenue goals.

This role focuses on driving adoption and alignment for ODM partners, supporting data center delivery, and incorporating partner feedback into product strategy.

The AI Enablement Senior Associate aids in executing Crowe's AI Enablement strategy, coordinating workshops, developing content, and promoting AI tool adoption among business units and clients.

The role involves advising customers on AI solutions, collaborating on projects, and implementing scalable systems for data processing with a focus on generative AI.

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

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

The Senior AI Compiler Engineer will analyze deep learning networks, develop compiler optimizations, and implement techniques for AI workloads on NVIDIA GPUs.

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 Embodied AI Researcher will conduct research on robotic foundation models and embodied intelligence, collaborating with cross-functional teams and integrating robotics products.

Design and develop machine learning models for multimodal data integration, collaborating with scientists and engineers to create scalable solutions.

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

The Senior AI SoC Architect will lead the design and development of AI SoCs, influence architectural direction, and collaborate across teams for innovation in technology.

Design, develop, and maintain engineering solutions to validate, monitor, and operate GPU clusters for ML researchers. Research and apply AIOps/Agentic AI to reduce operational toil, enable self-service reliability and performance improvements, and participate in on-call support for platform 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.

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.

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

Manage AI Native accounts, driving revenue and market share growth through strategic partnerships and collaborations with cross-functional teams.

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.

The Senior Solutions Architect will design high-performance AI infrastructure, support sales, manage customer relationships, and provide onsite solutions and training.