Artificial Intelligence Jobs in Santa Clara, CA

The Data Infrastructure Engineer will design, build, and maintain data tools for robot data management, supporting AI researchers and ensuring optimal data solutions across storage and compute resources.

The AI/ML Engineer designs and operates a production-grade orchestration platform, focusing on multi-agent workflows, LLM integration, and backend systems. Responsibilities include managing cloud-native infrastructure, ensuring system reliability and observability.

Develop compiler optimizations and kernel generation for AI inference on NVIDIA GPUs. Solve complex compilation problems, collaborate on hardware/software co-design, and scale AI workloads to datacenter products.

As Director of AI Change Enablement at eBay, you will lead the AI transformation strategy, drive change management, and ensure employee adoption of AI initiatives across the enterprise, acting as a strategic partner to leadership.

Design, build, and scale the AI platform for distributed multi-GPU training, experiment tracking, and model deployment. Optimize GPU clusters, networking (NCCL/InfiniBand), Kubernetes-native scheduling, and inference serving (TensorRT, Triton). Develop agentic automation for cluster health, CI/CD, and data curation while integrating ML lifecycle tooling and observability.

Founding technical role to design, build, and deploy internal AI tools and agents using LLMs and retrieval systems. Partner with investors and the data team to accelerate sourcing, diligence, portfolio insights, and define CRV's AI strategy through rapid prototyping and production-grade systems.

Support enterprise AI adoption by coordinating internal communications, events, enablement, and knowledge resources. Maintain trackers, calendars, follow-ups, and self-service content; support AI literacy, participation tracking, and community moments. Provide generalist program operations and in-office coordination to keep transformation activities organized and moving.

The AI Hardware Architect will analyze and design next-generation AI hardware, focusing on microarchitecture, connectivity, and system performance for GPUs and CPUs.

Lead deployment of NVIDIA GPU and networking solutions in customer data centers: design networks and compute/storage, debug cluster performance, run POCs, advise product roadmap, and support bring-up and customer engagements.

Lead design, build, deploy, and maintain production-grade AI/ML systems (LLMs, agentic architectures, classical ML). Provide hands-on technical leadership across architecture, model selection, implementation, testing, deployment, observability, and operational support while collaborating with data scientists, platform and security teams and mentoring engineers.

Design and build native Android applications for robot data annotation, dataset review, and experiment tracking. Create fast, reliable mobile experiences for real-time data capture, integrate AI models to automate annotation, and collaborate with AI researchers, robot operators, and web tooling teams to ensure consistent workflows.

Design and build scalable EDA flows and AI/LLM-driven automation for 3DIC, interposer, and RDL systems. Implement flow-generation, debugging assistants, root-cause analysis, and platform integration using C++, Tcl, Python, and Java. Collaborate with engineering teams to validate flows, automate constraint-driven designs, and address large-scale, high bump-count and multi-region routing challenges to deliver production-quality solutions.

Lead robotics training data strategy: define formats and quality standards, oversee data collection/annotation, partner with researchers and external providers, build data acquisition plans, and deliver large-scale datasets and tooling to support robotics foundation models.

Build and lead the SRE function from scratch: hire and manage a 3–5 person team, define SLOs/SRIs and incident processes, own reliability across colo/on-prem/cloud, implement observability and IaC (Terraform/Ansible), drive shared storage migration and FinOps, serve as senior escalation for incidents, and partner with DevOps and engineering on HPC workload requirements.

Design and implement real-time localization, ego-motion tracking, and state-estimation systems by fusing multi-modal sensors. Build scalable offline pose-tracking pipelines, multi-sensor calibration tools, and evaluation/testing frameworks. Collaborate cross-functionally to deploy reliable, high-performance software for humanoid robotics in real-world environments.

Design, build, deploy, and operate AI-enabled backend services and workflows for risk decisioning. Implement LLM-based workflows, retrieval, tool use, and integrations; ensure observability, reliability, security, and continuous improvement while partnering cross-functionally and owning end-to-end production systems.

Lead design, training, and deployment of large-scale ML models (LLMs, diffusion, GNNs). Own end-to-end training pipelines, distributed training, evaluation, and inference architecture. Collaborate with data and infra teams, drive reproducible model development, and provide technical leadership and mentorship from research through production.

Manage full desk recruiting for technical roles in AI and robotics, collaborating with hiring managers to optimize processes and enhance candidate experience.

The Director of AI will lead AI and data engineering teams, define and execute AI strategy, and ensure effective partnership across functions, focusing on scalable AI solutions and responsible AI practices.

As an intern, you will research and develop AI/ML algorithms for computer graphics and robotics in 3D animation, collaborating with a multidisciplinary team.

Lead AI feature design and delivery, build large-scale ML systems, mentor engineers, and define best practices across the engineering organization.

As a Senior Software Engineer at Tenstorrent, you will develop AI compiler technologies, optimize computational graphs, and enhance MLIR frameworks to connect AI models with hardware.

The Physical Design Engineer will lead efforts in solving physical design challenges, improve RTL-to-GDS methodologies, and integrate AI/ML solutions into CAD flows, focusing on performance and runtime improvements.

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.

Assist in deploying and monitoring Cerebras AI infrastructure, perform troubleshooting, collect telemetry, and learn through shadowing senior engineers.