Artificial Intelligence Jobs in Santa Clara, CA

Leads firmwide adoption of AI tools in partnership with attorneys and paralegals. Translates legal workflows into scalable AI solutions, manages platform configuration, supports AI governance and risk practices, and develops communications and training programs. The role requires hands-on AI platform expertise, strong project management, legal workflow knowledge, stakeholder collaboration, and the ability to identify and address risks in AI-enabled legal work.

Leads the design, evaluation, deployment, and monitoring of production AI systems across generative AI, agentic AI, computer vision, forecasting, and optimization. Establishes rigorous metrics for accuracy, uncertainty, bias, hallucinations, drift, explainability, and failure modes; conducts experiments and communicates business impact, risks, and trade-offs. Builds solutions using foundation models, RAG, agentic workflows, unstructured data, and MLOps practices.

Tenure-track Assistant Professor of Marketing responsible for conducting high-quality quantitative marketing research, publishing in leading journals, teaching undergraduate and graduate marketing courses, and contributing service to the department, university, profession, or community. Preferred research areas include branding, advertising, or health marketing with applications of artificial intelligence.

Tenure-track faculty member developing an impactful robotics and AI research program, publishing high-quality research, securing external funding, mentoring students, and teaching undergraduate and graduate electrical and computer engineering courses. Responsibilities include curriculum development, interdisciplinary and industry collaboration, university and professional service, and advancing inclusive excellence. Candidates must hold a Ph.D. in electrical and computer engineering or a related field by the September 2027 start date, with demonstrated research potential and commitment to teaching and inclusive academic engagement.

Develop and execute technical product marketing strategy for Cisco AgenticOps and AI Canvas. Build demonstrations, dashboards, solution guides, white papers, videos, and practitioner use cases that communicate AI-driven networking value. Partner with product and engineering teams to validate messaging, enable sales and partners, deliver technical presentations, monitor competitors, and represent Cisco at events and analyst briefings.

Leads enterprise AI portfolio management and transformation by prioritizing use cases, coordinating business, product, data, and engineering teams, tracking milestones and risks, establishing governance, and reporting progress and value to executives. The role also supports AI adoption, change management, organizational enablement, vendor coordination, and evaluation of emerging AI tools and workflows.

Chief of Staff to the CEO responsible for driving company priorities, building the organization’s operating cadence, managing KPI reporting, leading cross-functional special projects, and increasing executive leverage. The role requires turning ambiguous problems into measurable plans, coordinating leaders and external partners, deploying AI effectively across operations, and improving organizational efficiency in a high-growth B2B SaaS environment.

Own Hippo’s Quoting and Distribution platform strategy, roadmap, integrations, vendor data ecosystem, and end-to-end product lifecycle. Lead cross-functional delivery, translate business needs into technical requirements, manage partner and API integrations, and improve quote-to-bind conversion and distribution-driven GWP growth. Drive AI-native capabilities across quoting workflows, data enrichment, and partner experiences while aligning executive, engineering, insurance, and distribution stakeholders.

Own Hippo’s quoting and distribution platform strategy, roadmap, integrations, vendor data ecosystem, and AI-enabled capabilities. Lead cross-functional delivery from discovery through launch, improve quote-to-bind conversion and distribution growth, and bridge business, partner, insurance, and engineering teams. The role requires strong product leadership, API and platform experience, stakeholder management, data-driven decision-making, and insurance or financial services expertise.

Conduct research in SoC design automation, AI-assisted hardware/software co-design loops, and AI infrastructure. Build and evaluate automated flows using simulators, software builds, ASIC or FPGA CAD, and AI agents. Measure power, speed, area, correctness, workload performance, search costs, and reproducibility. Study memory-device behavior, system bottlenecks, compute-memory architectures, and their effects on AI quality, latency, throughput, and energy. Own research questions, methods, and written results.

Leads and builds NVIDIA’s AI Safety and Security Engineering team, hiring engineers across platform, security research, evaluation, and vulnerability tooling. Owns the Find, Validate, and Patch roadmap; guides architecture and evaluation trade-offs; partners with security, platform, and evaluation leaders; and communicates engineering progress clearly. The role requires extensive software engineering and engineering management experience, with expertise in complex systems, ML infrastructure, security tooling, or distributed platforms.

Lead NVIDIA’s AI for Quantum product strategy, roadmap, and go-to-market initiatives. Translate AI and quantum research into scalable platforms, developer tools, APIs, libraries, and workflows. Partner with researchers, engineers, quantum hardware companies, institutions, and developers to identify applications across quantum design, control, calibration, error correction, and algorithms. Evangelize the platform through technical communications, identify new AI, HPC, and quantum opportunities, and present product strategy to executives.

Owns the HR technology ecosystem, people data governance, analytics, workflows, integrations, and process automation across People Operations. The role administers HRIS and related platforms, improves employee lifecycle processes, develops dashboards and controls, supports payroll and benefits data flows, and leads HR technology workstreams for mergers and acquisitions. It partners cross-functionally to implement systems, resolve data issues, and apply AI to improve HR productivity.

Develop high-performance AI kernels and software for neuromorphic hardware. Optimize convolutional, transformer, and generative AI workloads using parallelism, sparsity, quantization, fusion, and related techniques. Build performance, power, and area models, reference implementations, benchmarks, validation tools, and regression infrastructure. Collaborate with hardware, compiler, runtime, and application engineers throughout the hardware-software lifecycle.

Leads product vision, strategy, and execution for products or platforms across PayPal. Partners with cross-functional stakeholders to balance customer needs, technical implementation, regulatory requirements, profitability, and time-to-market. Establishes product success metrics, analytics, customer discovery, market research, and competitive analysis. Oversees product and business reviews, budgetary decisions, operational accountability, and collaboration with senior leadership and global partners.

Develop and optimize GPU-accelerated generative AI training and inference workloads on NVIDIA platforms. Collaborate with developers, academia, and internal engineering teams to improve algorithms, frameworks, low-level libraries, hardware, and software performance. Analyze CPU and GPU architectures, contribute to open-source projects, and communicate innovations through technical publications and conferences.

Conduct fundamental research on novel large-scale generative AI methods, particularly for biomolecular and scientific applications. Design and implement models, publish original research, collaborate with research and product teams, present at conferences, and transfer technology to products. The role requires strong mathematical foundations, generative AI expertise, scientific data modeling experience, programming skills, deep learning framework knowledge, and a strong research record.

Own and grow strategic global hyperscale accounts across cloud, AI, and data center customers. Develop global account strategies, build executive relationships, coordinate complex international sales opportunities, expand share of wallet, manage pricing and commercial agreements, and negotiate supply contracts. Partner with R&D, engineering, product, and procurement teams to secure specification wins and commercialize Brady solutions across customer value chains.

Develop core libraries and tools for scalable agentic applications. Responsibilities include optimizing agent frameworks and harnesses, benchmarking performance, improving latency and cost, integrating RAG systems and vector databases, supporting GPU workflows, designing cross-language APIs, debugging runtime internals, and collaborating with open-source communities. The role also involves building evaluations, observability, middleware, guardrails, and other systems that improve agent quality, developer productivity, and deployment reliability.

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).

Executes technical SEO and AI visibility initiatives across global digital properties. Implements structured data and schema markup, audits crawlability and indexability, monitors brand visibility in search engines and AI answer engines, validates web changes, and advises content, marketing, creative, and web teams on improving content discoverability, accuracy, and citation. The role also maintains global standards across markets and languages while tracking emerging search behaviors and translating performance data into actionable recommendations.

Own an AI-native product spanning AI Specialists and Voice AI from customer problem definition through launch and production performance. Deploy solutions within enterprise environments, analyze agent execution logs and evaluation data, define quality standards, establish outcome metrics, lead design partnerships, translate customer insights into roadmap improvements, and coach product managers. The role requires shipping enterprise LLM products, designing evaluations, building prototypes, and generalizing forward-deployed solutions across customers.

Analyze datacenter and agentic AI workloads on next-generation RISC-V CPUs. Characterize workload behavior, identify performance bottlenecks using profiling and simulation, reduce production workloads for modeling, correlate simulations with hardware, and recommend architectural improvements. Collaborate with CPU architects, RTL designers, compiler teams, and software engineers across hardware/software boundaries to improve CPU performance, scalability, throughput, and efficiency.

Design and develop AI SoC hardware through microarchitecture definition, RTL coding, simulation, and logic optimization. Perform timing, power, area, and design-integrity quality checks; integrate and validate IPs; support verification and resolve test failures. Apply secure development practices and drive quality assurance for IP and SoC handoff. Collaborate across multidisciplinary teams to deliver high-quality designs under demanding schedules.

Evaluate AI model outputs, audit data and model behavior, identify edge cases and failure modes, apply and improve evaluation guidelines, communicate performance trends, participate in calibration discussions, and document actionable findings. The role requires native-level Tamil, strong English and writing skills, critical judgment, attention to detail, and familiarity with GenAI safety considerations. This is a full-time, one-year, 100% onsite contract position.