Artificial Intelligence Jobs in Santa Clara, CA

Develop Java-based ATE test programs for SOC digital devices on the Advantest V93000 platform. Support customers with SmarTest software debugging, create Python and Perl tools, apply AI solutions, train customers, collaborate with R&D, support pre-sales activities, and deploy hardware and software at customer sites. The role requires strong semiconductor test engineering, programming, communication, and customer-facing skills, with approximately 5% travel.

Own end-to-end product experiences for AI-powered finance workflows, from planning through launch. Collaborate with Product, Engineering, designers, and enterprise clients; create explainable and trustworthy AI interactions; simplify complex tasks; contribute to design systems; mentor designers; conduct user research; and use AI tools for synthesis, prototyping, and product development.

Own the strategy, roadmap, architecture, and adoption of the company’s central data infrastructure and BI platform. Partner with analytics, engineering, and business teams to establish trusted KPI reporting, semantic models, scalable warehousing, BI and ETL tooling, clear SLAs, and AI-powered self-service insights. Translate ambiguous needs into testable requirements, evaluate technical solutions, prototype quickly, and measure adoption, quality, and reporting efficiency.

Lead product strategy, roadmap, and execution for Itron’s Intelligent Edge Operating System data platform. Define governed data products, data-sharing capabilities, and responsible AI enablement while translating customer needs into scalable, secure requirements. Collaborate with Engineering, Customer Success, Delivery, and Sales on platform development, onboarding, adoption, workshops, demonstrations, and RFP responses. Monitor customer outcomes, product performance, market trends, and emerging technologies to guide future investments.

Own end-to-end analytics engineering for AI and developer experience data. Instrument telemetry, build governed production pipelines, define trusted metrics, and create executive-facing dashboards and analyses. Partner with data engineering, AI, and data science teams to improve data quality and connect raw signals to decision-making. Present clear recommendations on AI investment, developer productivity, and ROI while using AI coding agents to build and maintain pipelines, dashboards, and analyses.

Own end-to-end analytics pipelines for AI usage, developer experience, engineering productivity, and spend. Instrument telemetry, build governed ETL workflows, define trusted metrics, and create executive dashboards and visual narratives. Analyze results, recommend improvements to AI ROI and developer experience, and communicate methodology to senior stakeholders. Collaborate across data engineering, applied AI, and data science while using AI coding agents to build, test, and maintain production data systems.

Architects and leads production AI products, including chatbots, document processing, agentic workflows, and centralized AI platforms. Designs model routing, vector search, retrieval, context engineering, MCP integrations, and scalable cloud-native systems. Integrates AI with accounting systems, repositories, APIs, and enterprise technologies while ensuring monitoring, compliance, and observability. Provides technical leadership, establishes AI development standards, and mentors engineers.

Design, develop, test, document, troubleshoot, and debug complex software for semiconductor equipment components and devices. Define software specifications and test plans for simulators, test benches, and laboratory environments. Analyze requirements, implement bug fixes, communicate with internal and external customers, and contribute to machine learning and AI-driven software solutions.

Manage a strategic global AI platform account for Micron, developing growth strategies across embedded, robotics, automotive, client, and consumer markets. Build executive and technical customer relationships, manage multi-product pipelines and forecasts, and coordinate with product, engineering, operations, supply chain, finance, legal, and pricing teams. Provide market intelligence and translate technical requirements into business strategies that drive revenue, design wins, qualifications, and account growth.

Lead product strategy and roadmap for ServiceNow’s Lux AI-native experience platform. Define reusable AI experience capabilities, agentic workflows, and contextual intelligence across the product portfolio. Partner with Product, Engineering, Design, Research, and Customer Success to drive adoption, ship 0-to-1 products, scale them across use cases, and deliver deterministic, trustworthy enterprise AI experiences.

Lead technical recruiting for software and machine learning engineering teams. Develop hiring strategies, partner with engineering leadership, manage structured interviews, improve recruiting systems, analyze funnel metrics, mentor recruiters, and deliver strong candidate experiences. The role requires recruiting specialized technical talent, including autonomy, robotics, defense, embedded systems, or Physical AI professionals, in a fast-growing, in-office environment.

Build and manage technical talent pipelines across autonomy, AI/ML, embedded systems, and software engineering. Develop research-driven sourcing and talent-mapping strategies, partner with hiring managers to define candidate profiles, collaborate with recruiters to support candidate experience, and use market research and data to improve sourcing efforts.

Source technical talent for autonomy, ML/AI, embedded systems, and software engineering roles. Build and manage candidate pipelines, develop research-driven sourcing and talent-mapping strategies, partner with hiring managers, collaborate with recruiters, and use market research and data to improve sourcing approaches. The role requires strong communication, organization, relationship-building, and technical recruiting experience.

Leads Cyber & Risk business growth through daily prospecting, executive relationship development, complex solution selling, account strategy, pursuit leadership, pricing, and negotiation. Designs integrated advisory solutions spanning cybersecurity, privacy, compliance, internal audit, controls, and forensics. Partners with cross-functional leaders to build proposals, manage executive-level sales presentations, activate market presence, and secure multi-year programs. Requires 10+ years of advisory or consulting sales experience and travel up to 25%.

Leads business origination and revenue growth for Grant Thornton’s Business Process Outsourcing solution. Builds executive relationships, identifies and qualifies prospects, develops pipeline, leads pursuits, structures pricing, negotiates multi-year outsourcing programs, and coordinates cross-functional advisory experts. The role promotes outsourcing, shared services, technology modernization, automation, and AI solutions while maintaining CRM discipline and market visibility through events and thought leadership. Travel is approximately 25%, with hybrid in-person attendance required at least three days weekly.

Own commercialization of Block’s emerging AI portfolio from product and pilot stages through scaled enterprise adoption. Develop market strategy, pricing, packaging, partnerships, and routes to market; secure lighthouse customers and strategic partners; design pilots that convert to production relationships; create repeatable sales and partnership processes; and build the commercial organization as product-market fit develops.

Lead commercialization of emerging AI products by winning enterprise customers and strategic partners, structuring pilots, converting engagements into scaled relationships, and owning partnerships from negotiation through launch and optimization. Collaborate closely with Product and Engineering to shape offerings, validate product-market fit, develop pricing and commercial models, and build a scalable go-to-market strategy.

Leads and mentors an AI Security product management team while personally owning strategic product areas. Drives AI security product vision, lifecycle execution, pricing, packaging, sales enablement, customer advisory, and partnerships with model providers and design customers. Oversees solutions involving AI gateways, MCP gateways, agentic identity, guardrails, and automated red-teaming. Requires extensive enterprise cybersecurity product management experience, AI security expertise, people leadership, commercial acumen, and a technical degree.

Participants complete guided AI research activities onsite, including walking, sitting, gestures, photos, audio recordings, and video recordings. The study takes 2.5–5 hours and requires no prior experience. Applicants must be ages 13–75+, speak English, and be authorized to work in the United States. Minors need parental or legal guardian consent.

Lead AI coding-tooling standards and developer experience, define Skill Marketplace conventions, and build production-quality internal AI application prototypes. Develop reference implementations for agent workflows, streaming UX, memory, multi-agent collaboration, and AI-native engineering processes. Provide architecture guidance, review code, publish technical content, deliver workshops, and collaborate asynchronously with APAC teams. The role requires strong full-stack engineering, product judgment, LLM application experience, and public technical influence.

Leads and builds a sales engineering and solutions architecture team supporting complex AI/GPU cloud deals. Owns technical discovery, solution architecture, sizing, capacity planning, TCO modeling, POCs, benchmarks, and technical closes for enterprise and strategic customers. Partners with account executives, NVIDIA, product, platform, and capacity teams while developing pre-sales processes, enablement, reference architectures, and win strategies for long-cycle, high-value infrastructure contracts.

Lead production engineering for Cisco’s AI platform by optimizing model routing, latency, token efficiency, batch capacity, and fine-tuning costs. Build reliable validation and regression pipelines for AI agents, ensure generated code is secure and production-ready, and own features from research through deployment, monitoring, and post-mortems. Provide technical leadership, mentor peers, and align cross-functional teams on performance, quality, security, and cost trade-offs.

Own the strategy, roadmap, and lifecycle for Cisco’s AI-driven SASE platform. Design agentic workflows that unify network and security operations, integrate AI models, and improve automation and investigation speed. Coordinate engineering, data science, design, marketing, business development, and support teams from ideation through commercialization. Define product metrics, communicate value propositions, drive customer and partner adoption, and oversee platform enhancements and releases.

Own go-to-market strategy and positioning for NVIDIA desktop AI products. Lead cross-functional teams through planning, launch, and post-launch optimization. Coordinate OEM and channel messaging, train regional sales, collaborate with product/sales/marketing, and drive analyst/influencer relations to grow pipeline and sell-through.

Design and deliver high-performance, area- and power-efficient ASIC/GPU micro-architecture and RTL. Develop agentic AI solutions to craft micro-architecture, implement RTL, and produce fully verified, synthesis/timing-clean designs. Collaborate with designers and tool owners, and build LLM-powered engineering assistants, multi-agent systems, and multi-modal dialogue tools to accelerate chip design workflows.