Artificial Intelligence Jobs in Santa Clara, CA

As a Distinguished AI Engineer, you will design and develop AI software, partner with cross-functional teams, and create optimized AI systems to enhance customer interaction and improve banking services.

This role involves partnering with teams to develop AI-powered technology, advancing applied research in AI, and delivering impactful models. Candidates will work on foundational models and leverage new technologies to optimize customer interactions with banking services.

The role involves partnering with cross-functional teams to design, develop, and deploy AI software solutions, focusing on large language models and AI optimization techniques.

Manage complex programs for developing customer-facing geospatial technologies. Oversee the program lifecycle, coordinate with teams, and ensure successful deployment.

Manage and grow the Tesla account for NVIDIA's automotive products by driving design wins and revenue in autonomous driving and cockpit systems. Build strategic relationships with OEMs, Tier 1s, R&D and procurement; understand customer architectures and competition; evangelize deep learning solutions; and coordinate internal teams to deliver customer-focused solutions.

Design, build, and operate agentic AI workflows and MCP servers for an LLM-based network operations assistant. Implement LangGraph orchestration, RAG/memory systems, evaluation frameworks, and production integrations (Kubernetes, CI/CD, containers, FastAPI). Collaborate with domain experts, ensure observability, and drive reliability of non-deterministic AI systems at scale.

Design, build, and maintain large-scale AI/ML platform and infrastructure for training, inference, fine-tuning, and Agentic AI. Develop tools, APIs, reliability metrics, and root-cause analyses across application to hardware layers while improving efficiency, resiliency, monitoring, and observability.

Lead and optimize developer ecosystem operations: manage activation calendar, budgets, priorities, and processes. Build AI agents, dashboards, scripts, and automations to reduce manual work, improve reporting and visibility, and drive adoption of new tools and operating rhythms across internal and external teams.

Build and scale the infrastructure layer for visual intelligence: optimize VLM inference and GPU serving, design multimodal APIs and structured outputs, ensure scalable backend systems, reliability, observability, CI/CD, and developer experience. Drive 0→1 product work with strong testing discipline, schema validation, and performance optimization.

Lead product strategy and lifecycle for local AI system software, tools, and apps. Drive customer discovery, define requirements, coordinate cross-functional teams, set KPIs, and support go-to-market to increase adoption of local AI solutions.

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.

Build and harden agentic AI features over a network digital twin: design eval-driven iterations, engineer prompts, retrieval/RAG and tooling, run error analysis, partner with domain experts, and ship high-quality LLM-powered capabilities.

Work as an early-career full-stack software engineer building and maintaining web application features across backend, frontend, APIs, data, tests, and internal tooling. Use AI-assisted development tools responsibly, write maintainable code and tests, participate in code reviews, and learn product and customer context to deliver production-quality outcomes.

Lead strategy, roadmap, and delivery for Cisco's AI Security product area, driving cross-functional execution, customer adoption, ecosystem partnerships, and mentoring senior product managers to secure enterprise AI (application security, runtime protection, governance, supply chain security, validation). Represent Cisco externally and align product strategy across Security, AI, Networking, and Observability.

Optimize large-scale AI inference performance by designing reproducible experiments, profiling GPU workloads, tuning serving configurations (batching, KV cache, quantization, parallelism), and delivering fixes upstream (framework patches, kernels, deployment recipes) across TensorRT-LLM, vLLM, SGLang and related stacks.

Lead technical customer engagements to design, build, and deploy GPU-accelerated AI/ML, DL, and data analytics solutions on cloud platforms. Create PoCs, run demos, collaborate with sales and engineering, deliver workshops and technical presentations, and troubleshoot customer deployments at scale.

Build, train, evaluate, and deploy production computer vision models (detection, segmentation, OCR, barcode decoding, visual search). Own dataset quality, tooling, model releases, inference exports, and monitoring. Collaborate cross-functionally to improve model performance, robustness, and deployment for retail robotics and edge environments.

Own the full product loop: identify high-impact problems, rapidly prototype and ship AI-accelerated solutions, build internal tools and automations, collaborate with operations and business teams, and iterate based on usage and data to drive adoption and business impact.

Design and implement AI-native frameworks, optimize performance for deep learning models, and ensure high-quality software development using modern C++ and AI tools.

Research and develop GPU-accelerated techniques for AI and financial workloads. Analyze and optimize performance on CPU/GPU architectures, collaborate with industry and academia, publish findings, and influence hardware and software design while supporting developer adoption.

Design, build, and operate secure, scalable AI-enabled web applications and cloud-native services. Lead full-stack development (Next.js/React frontends, C#/.NET backends), Azure PaaS deployments, observability, integrations (REST/event-driven), AI capabilities (LLMs, RAG, prompt engineering), security/compliance, and mentor engineering teams.

Design and scale GenAI-powered product marketing capabilities: codify PMM methodologies, build agentic workflows and prompt systems, prototype with Python/Streamlit, and partner cross-functionally to productionize AI-enabled GTM, segmentation, and messaging workflows.

The role involves leading product strategy for search at eBay, improving user experience through AI-driven features, and working with cross-functional teams.

As a Senior Full-Stack Software Engineer, you will design, build, and ship AI-powered systems to optimize workflows in the single family rental market, focusing on backend services and full-stack development in a fast-paced environment.

As a Senior Software Architect for AI Networking, you'll design and implement AI networking technologies, optimize data processing in AI systems, and collaborate on cutting-edge solutions.