Artificial Intelligence Jobs in Santa Clara, CA

Own the end-to-end product lifecycle for agentic AI features within an enterprise automation platform. Define roadmaps, engage customers for discovery and validation, partner with engineering/UX/applied AI to ship products, create PRDs and success metrics, track agentic AI research/trends, and support go-to-market execution.

Own reliability, observability, and delivery for a cloud-native, multi-tenant Kubernetes platform. Build CI/CD, GitOps, IaC, and AI-first automation for incident response and LLM infrastructure. Instrument SLOs and tracing, harden secrets and supply-chain security, troubleshoot production issues, and mentor engineers in AI-driven operations.

Architect and build production-grade AI applications and shared platform services across desktop, mobile, web, and cloud. Lead full-stack engineering, CI/CD, observability, and operational excellence. Build foundations like agent orchestration, memory/context services, evaluation frameworks, telemetry, and workflow execution. Operationalize NVIDIA AI technologies, collaborate with cross-functional teams, mentor engineers, and drive architectural alignment to deliver scalable, reliable enterprise AI products.

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.

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.

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.

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.

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

Lead architecture for a hierarchical, multimodal embodied-AI system for surgical robotics. Define interfaces between perception, reasoning, and control; ensure real-time, safety-critical deployment; enable offline-to-online data loops; collaborate across research, engineering, data, and product; mentor senior staff.

Design, train, and evaluate computer-vision perception models (anatomy, instruments, actions) for surgical video; develop temporal/video models and bench-mark SOTA; define perception I/O and move models from offline experiments to robust, real-time OR performance; establish continuous improvement loops, annotation pipelines, and partner cross-functionally to enable prototype-to-product deployment.

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.

Short-term intensive research internship assisting in dataset collection and preprocessing, model architecture design and tuning, implementation of testing frameworks, analysis of model accuracy and bias, algorithm refinement, and documentation to support foundation-model research.