Artificial Intelligence Jobs in Sunnyvale, CA

The AI Compiler Engineer will innovate in AI performance, optimize compiler processes, and collaborate on hardware/software co-design, advancing AI technologies for datacenter applications.

Lead the design and implementation of GPU compute clusters for deep learning and high-performance workloads, manage large-scale systems and ensure efficient resource utilization.

The AI Research Engineer will design, implement, and improve AI systems for therapy, enhance evaluation methods, and collaborate with various teams to innovate and ensure safety in AI therapy.

The Director of Business Development will drive growth in the Physical AI sector by identifying market opportunities, managing strategic partnerships, and achieving revenue targets through effective sales strategies.

Develop logic design and RTL coding for AI SoC products, integrate IP blocks, perform quality checks, and mentor junior engineers.

The AI Accelerator Silicon Architect will define compute architecture, analyze performance, and collaborate with teams on silicon architecture for AI workloads.

The VP of Data & AI Engineering leads Duck Creek's enterprise data and AI strategy, overseeing global teams, implementing scalable platforms, and ensuring data governance and responsible AI practices.

Lead and drive design-phase execution for rack-scale AI platforms. Maintain master schedules, track critical-path items and risks, coordinate cross-functional design and readiness reviews, engage CM/JDM partners, ensure validation readiness, and provide executive updates on milestones, risks, and resource gaps.

Build and productionize AI applications integrating LLMs and vision models into an edge-to-cloud robotics platform. Fine-tune and quantize models, deploy to NVIDIA Orin/Jetson and cloud GPUs, integrate Vector DBs/RAG/agent frameworks, and create data pipelines to collect and version sensor data for retraining.

Lead product definition and roadmap for AI factory resilience platform features (telemetry, health-checks, observability APIs, deployment experience). Drive developer experience, open-source community collaboration, cross-functional alignment, and partner with engineering on design, prioritization, and delivery.

The Senior Software Engineer will optimize AI workloads using machine learning techniques for large scale GPU and CPU clusters, focusing on resource allocation, performance analysis, and collaboration on hardware/software teams.

The role involves defining product vision and strategy for in-vehicle AI experiences, leading product execution, integrating AI, and partnering with engineering and automotive customers for successful deployment.

The Lead Infrastructure and Reliability Engineer will enhance GPU operations, define scalability strategies, and develop organizational strengths in a high-demand AI infrastructure setting.

The Senior Staff Physical AI Data Algorithm Engineer is responsible for designing and optimizing a vehicle-cloud data closed-loop architecture, managing data toolchains, and ensuring high-quality data standards throughout the model development cycle.

The AI Business Analyst will partner with HR teams to identify AI use cases, support the AiMEE chatbot, collaborate on HR analytics, and enhance employee experience through technology solutions.

As a Staff AI Product Designer, you will lead the design of AI-driven user interfaces, collaborate with cross-functional teams, innovate user-centered designs, and ensure ethical considerations in AI applications across platforms.

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 RTL development and microarchitecture for an AI-enabled RISC-V CPU core, including vector and matrix engines. Define features, optimize performance/power/area, support verification and simulation, collaborate with CPU modeling and physical design teams, and ensure design meets timing, reliability, testability, and power goals.

Profile, benchmark, and optimize large-scale LLM training and inference across GPUs, CPUs, HCAs, and switches. Focus on collective communication and high-performance networking, build PyTorch trace-based profiling and replay tools, define performance test plans, and collaborate across hardware and software teams to identify bottlenecks and achieve performance targets.

Design and build AI orchestration architecture using Claude Code; create reusable orchestration patterns (skills, subagents, tools, hooks); optimize for latency, error handling, observability, and testing; run experiments, document learnings, and deliver production orchestrators that accelerate platform development.

Design and build AI-native, high-performance CI/build/test/validation infrastructure for large Tegra C/C++ codebases. Optimize build graphs, caching, incremental builds, remote execution, device-lab testing, and integrate reasoning agents for autonomous triage, remediation, and self-healing workflows. Package reusable platform capabilities, drive adoption, and measure developer feedback loop improvements.

The role involves applying diffusion techniques and developing AI models to enhance 3D reconstruction pipelines for various industries.

The Senior Flutter Engineer will own the mobile platform, focusing on audio recording, offline capabilities, cross-platform stability, and CI/CD pipeline maintenance, while mentoring junior engineers.

As an AI Research Engineer, you will develop AI video ad models, engage in the full project lifecycle, and collaborate with teams to integrate solutions.

Produce AI video content from concept to final cut, using generative video models and combining AI footage with traditional editing tools. Collaborate on ad concepts and develop advanced prompting techniques for effective video outputs.