Artificial Intelligence Jobs in San Jose, CA

Provide technical leadership to industrial engineering accounts, helping CAE/CFD/FEA ISVs and OEMs GPU-accelerate solvers, apply physics-informed ML and Omniverse digital-twin workflows, analyze architectures for performance, and deliver trainings, demos, and customer-facing solution builds to drive adoption on NVIDIA platforms.

Serve as a technical advisor for semiconductor customers and EDA developers to GPU-accelerate EDA and manufacturing workflows, apply ML/DL for inspection and yield, analyze architectures for acceleration, deliver trainings/demos, and collaborate with product and engineering teams to deploy scalable AI-enabled solutions.

Build and deploy production-grade AI/ML inference systems for a cloud security platform. Optimize LLM serving (vLLM, SGLang, KV cache), implement model evaluation/reporting, and collaborate with ML scientists and engineers to execute the AI roadmap.

Lead product vision and roadmap for Data Marketplace within Data Compass. Engage stakeholders, define requirements and acceptance criteria, prioritize features, collaborate with engineering/design, measure outcomes with data, and ensure compliance and data governance alignment.

The role involves developing AI strategies, implementing proof-of-concepts, collaborating with business teams, and ensuring compliance with Responsible AI principles.

Build, deploy, and automate cloud-native infrastructure and applications using containers, Kubernetes, Terraform, and CI/CD. Integrate logs/metrics into AIOps platforms, enable SRE monitoring for SASE products, develop serverless functions, and create automated AI-driven detection and troubleshooting strategies.

Lead product marketing for Procore AI & Data products: own positioning, messaging, launches, competitive positioning, sales enablement, and cross-functional GTM programs. Collaborate with Product, Demand Gen, Sales, and global Marketing to create customer-facing content and drive adoption.

Own strategy and execution for a portfolio of AI-native and hyperscale customers. Serve as primary relationship owner, drive revenue, market share and product adoption, coordinate with solution architects, product marketing, OEMs and partners, forecast and train customers, and evangelize NVIDIA platforms to accelerate enterprise growth.

The role involves researching and developing GPU-accelerated AI workloads, optimizing algorithms, and collaborating with technical experts to improve hardware performance.

Lead a team to optimize algorithms for Deep Learning and Machine Learning, define technical initiatives, and collaborate with various teams for hardware and software innovation.

Drive design wins and market expansion for FPGA-based Physical AI solutions across robotics, autonomous systems, industrial automation, and edge AI. Own market strategy, customer engagement, ecosystem partnerships, sales enablement, and cross-functional feedback to product and engineering. Support technical sales, produce reference architectures and ROI analyses, and convert opportunities into long-lifecycle platform wins.

General application to match applicants with Launch Institute of Technology training programs in AI, clean energy, and advanced technology. Collects background, interests, and location to determine program eligibility and availability (remote/hybrid varies by state).

Lead the development of AI applications, ensuring high reliability and performance while collaborating with teams to identify use cases and implement scalable solutions. Drive AI methodologies, governance, and continuous improvement in the organization.

The AI Intern will support the deployment of multimodal models onto vehicle-grade platforms, assist with model optimization, and help ensure reliable performance in autonomous driving applications.

Design and implement hardened Kubernetes integrations and automation pipelines for hybrid-cloud AI workloads. Provide operational support, troubleshoot production systems, collaborate with customers and engineering teams, and contribute to open-source projects to scale AI infrastructure.

This role involves driving new client acquisition and revenue growth through full-cycle sales execution and relationship building with stakeholders, while maintaining pipeline tracking in CRM.

Lead frontend development for an AI-driven finance automation platform: build a scalable React+TypeScript design system and interactive UIs (workflow builders, action libraries, observability dashboards, data type management), integrate REST APIs, collaborate with product/design/backend, and own features end-to-end while providing backend support when needed.

Design, develop, and optimize algorithms for oneDNN targeting Intel processors and graphics. Conduct performance analysis and contribute to low-level tuning and optimization efforts, collaborating with cross-functional teams and engaging with the open-source community.

Lead customer-facing software enablement and optimization for Intel products across AI, client, cloud, and graphics. Develop, integrate, test, prototype, and tune software solutions; advise customers; drive product readiness, benchmarking, technical collateral, and workload integration to inform product design and scalability.

Lead development and implementation of the firm's attorney AI learning strategy. Assess training needs, design curricula, credentialing, and workshops; coordinate cross-functionally with KM, IT, and practice leaders; track participation and outcomes; monitor legal AI tools and translate developments into practical lawyer-facing training and guidance.

Directs and manages design verification engineers for Subsystem and SoC design, enhances verification processes, and ensures security compliance while leading team performance.

Define and execute AI channel strategy and co-sell motions, manage end-to-end partner relationships, drive partner-sourced pipeline, enable partners with sales and technical training, collaborate with sales and SE teams, and evangelize Everpure's AI storage portfolio (FlashBlade//EXA, Data Stream 1touch, NVIDIA).

Lead global go-to-market for Everpure's AI product line: translate AI capabilities into customer value, enable sales teams, craft executive narratives, drive adoption and revenue, and define KPIs for field readiness and growth.

As a Senior AI Developer Technology Engineer at NVIDIA, you'll design and optimize AI and HPC workloads, solve performance issues, and influence future hardware and software design.

Design and develop a C++-based system for simplifying and accelerating computing in DL and HPC, alongside evaluating performance and improving library quality.