Machine Learning Jobs in Santa Clara, CA

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.

Design, modify, and troubleshoot complex RF/electrical assemblies and schematics. Perform engineering analysis and tests, generate reports and specifications, lead small projects, coordinate suppliers, and implement electrical solutions while mentoring junior colleagues.

Develop and deploy ML inference systems for ARM-based embedded Linux devices. Tasks include dataset collection and validation, feature engineering, model training and optimization for edge deployment, profiling and reducing inference latency, writing modular Python code with unit tests, and collaborating on code reviews and technical discussions.

Lead the delivery of advanced AI initiatives, manage enterprise engagements, translate business needs into technical requirements, and drive customer adoption.

Responsible for forecasting, planning, and financial analysis, building analytical tools, and providing insights while supporting senior management across the GeForce FP&A team.

This role involves optimizing power efficiency in GPUs using AI, analyzing power data, developing models, and collaborating across teams.

As a Machine Learning Engineer Intern, you'll modify models for ego-vehicle predictions, optimize loss functions, and evaluate trajectory diversity and accuracy.

Lead technical vision and strategy for next-generation graphics developer tools. Design and prototype tooling, drive cross-team initiatives, mentor engineers, engage external developers and partners, and deliver production-ready solutions that improve graphics development, debugging, profiling, and optimization workflows.

Lead product-focused legal counsel advising Product, Engineering, and business stakeholders on IP, product integrations, consumer protection, AI/autonomy legal issues, compliance, safety, and global commercial contracts. Develop policies, review integrations for legal and IP compliance, collaborate with regulators and outside counsel, support M&A, and build the Product legal function at a fast-growing pre-IPO company.

As an AI/ML Engineer, develop and optimize analytics frameworks to enhance autonomous vehicle development, focusing on automation tools and collaboration with engineering teams.

Lead end-to-end supply planning strategy and governance for networking products (optics, switches, adapters). Build scalable planning frameworks across chips, memory, capacity, and manufacturing; ensure data integrity (BOMs, yields, cycle times); accelerate time-to-market via complexity reduction and AI-enabled planning; and manage and develop global supply planning teams.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

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.

The intern will design and implement AI-driven automation workflows to enhance the silicon testing process, collaborate with engineers, and document automation recipes.

Assist in developing software for autonomous driving vehicles, participating in project work involving machine learning, coding, and testing.

The Product Development Engineer drives testability and manufacturability of circuits, performs yield analysis using data science techniques, and interfaces with various engineering teams to optimize silicon yield and quality.

As a Senior Technical Recruiter, you will design and execute hiring strategies to attract software engineering talent, manage multiple searches, and mentor other recruiters.

Lead a team of engineers in developing offline perception algorithms and data mining tools to produce high-quality data for autonomous driving.

The engineer will leverage AI to enhance pre-silicon verification processes, collaborate with teams, and improve methodologies using advanced tools.

Develop and manage a Machine Learning platform, implementing user interfaces, ensuring security, optimizing performance, and collaborating with data scientists.

Design and build a scalable failure-attribution framework for heterogeneous CPU/GPU clusters: collect high-fidelity telemetry, implement low-overhead tracing, automate root-cause classification (hardware, software, environment), and enable proactive resiliency measures like migration or checkpointing.

Lead and coordinate cross-functional engineering programs for deep learning software and GenAI model initiatives. Plan, forecast, track dependencies, report status, implement metrics, guide agile practices, moderate technical discussions, and drive organizational alignment to meet business objectives.

Lead end-to-end product design for Jerry's consumer mobile and web products. Translate data-heavy problems into clear flows, wireframes, prototypes, and polished UI. Collaborate with PMs, engineers, and researchers, use analytics and testing to validate designs, evolve the design system, and apply AI to improve personalization and automation.

Own Jerry's organic presence on Reddit, Quora, YouTube, and TikTok. Develop community playbooks, grow subreddits, build scalable content and engagement strategies (leveraging AI), collaborate with Growth and Content, and measure sentiment, share of voice, referral traffic, and LLM citation.

Own Jerry.ai’s organic presence on Reddit, Quora, YouTube, and TikTok. Build community playbooks, grow subreddits, develop scalable authentic content and engagement strategies (leveraging AI), coordinate with Growth and Content, and measure sentiment, share of voice, referral traffic, and LLM citation.