Machine Learning Jobs in San Jose, CA

Define next-generation data center GPU products by analyzing workloads, especially large language model training and inference. Identify customer opportunities, develop GPU value propositions and product proposals, and collaborate with engineering, operations, field teams, cloud partners, and sales on go-to-market plans, positioning, collateral, and tools. The role requires technical knowledge of GPU, software, and computing architectures, along with 7+ years of technology experience.

Develop machine learning and generative AI methods to optimize chip layout for performance, power, and area. Automate physical design, verification, and exploratory PDK generation; build benchmarking, modeling, and QA systems; and evaluate advanced device architectures and process technologies for sub-2nm nodes. Collaborate with global R&D organizations and research consortia, transfer technology to Samsung’s Korea-based development teams, and guide cross-functional technical initiatives.

Leads market strategy, product roadmaps, marketing plans, competitive analysis, product launches, customer engagement, and market penetration for eBeam computing applications and electron beam products in the semiconductor capital equipment industry. Evaluates customer needs, technical requirements, budgets, ROI, and P&L considerations while influencing cross-functional product development and managing product marketing and management teams. Requires up to 25% travel.

Write and edit accessible journalism about AI for a general audience. Responsibilities include pitching ideas, drafting articles, editing researchers’ and writers’ work, setting editorial standards, and helping launch a consistent media program. The founding editor will shape editorial direction and clarify technical material without oversimplifying it.

Research and develop computer vision, sensor fusion, pose estimation, and machine learning solutions for imaging and embedded applications. Build prototypes and end-to-end pipelines in Python and C++, optimize models for real-time edge deployment, and implement MLOps practices for monitoring, versioning, and CI/CD. Evaluate novel algorithms against current research, develop preprocessing and augmentation workflows, and transition validated concepts toward production.

Develop AI/ML solutions for semiconductor design and verification workflows. Build scalable pipelines that extract and analyze EDA logs, reports, run artifacts, and design metadata. Create models, heuristics, and analytics for STA, DRC/LVS, ECO optimization, debug, and regression acceleration. Integrate solutions into CAD infrastructure, automation systems, schedulers, and design databases while collaborating with EDA vendors.

Develop core decision-making and motion-planning systems for Level 4 autonomous vehicles. Responsibilities include behavioral planning, lane changes, merges, path and velocity generation, world modeling, trajectory cost design, optimization, testing, debugging, and root-cause analysis. Collaborate with Prediction, Perception, and Control teams to enable safe, comfortable vehicle motion.

Leads HPE’s global Sales decision sciences organization of approximately 100 professionals across business intelligence, reporting, data architecture, advanced analytics, and AI. The role establishes sales measurement frameworks, executive reporting, predictive and prescriptive decision support, reporting automation, data governance, and a trusted Sales Data Lake. It partners with IT, data governance, finance, marketing, and sales leadership to improve forecasting, seller productivity, business performance, and management decision-making while building a globally integrated analytics organization.

Drive adoption of NVIDIA Omniverse and physical AI technologies across software partners. Advise engineering teams on architecture, coding, integrations, and reference solutions; create technical enablement materials; lead workshops and technical engagements; resolve implementation blockers; communicate partner feedback internally; and support product launches and technical go-to-market activities. The role requires extensive software development experience, industrial or robotics technology expertise, and the ability to influence engineers, executives, and product teams.

Drive data-informed decisions across carrier growth, product launches, user acquisition, and partnerships. Partner with marketing, product, and business development teams; design and analyze A/B experiments; identify scalable growth levers; conduct complex analyses using machine learning models; and automate manual processes to improve operational efficiency.

The Business Operations Associate will drive data-informed decisions across growth, product, and business initiatives. Responsibilities include analyzing customer and partner performance, designing and evaluating A/B experiments, identifying profitable acquisition and partnership opportunities, leveraging machine learning models for insights, and automating manual processes to improve operational efficiency. The role partners with marketing, product, and business development teams and communicates findings to stakeholders ranging from frontline employees to executives.

Lead data-driven business operations and analytics initiatives across acquisition, partnerships, and product growth. Design and analyze A/B experiments, use machine learning and SQL for complex analyses, identify scalable growth levers, inform strategic decisions, and automate manual processes to improve operational efficiency. The role partners with marketing, product, and business development teams and communicates insights from frontline teams to the C-suite.

Drive data-informed decisions across growth, product, and business initiatives. Partner with marketing, product, and business development teams; design and analyze A/B experiments; identify acquisition and partnership growth levers; use advanced machine learning models for business analysis; and automate manual processes to improve operational efficiency. Communicate insights and recommendations to stakeholders ranging from frontline employees to executives.

Lead design and transformation of end-to-end Integrated Business Planning for semiconductor supply chains. Define future-state processes, governance, metrics, and system requirements across demand, supply, inventory, capacity, and executive IBP. Drive demand planning, cross-functional alignment, constrained-supply prioritization, and enable ML/AI in planning platforms.

Lead diverse technology projects and a team to create solutions for regulatory needs, leveraging distributed microservices and collaboration with product managers.

The Senior Product Manager will lead data classification capabilities in a Data Security platform, overseeing product strategy and collaborating with various teams to drive accuracy and compliance.

Defines the technical vision and architecture for NVIDIA’s next-generation autonomous driving stack, integrating classical safety systems with learning-based autonomy. Leads engineering teams across prediction, planning, control, decision-making, and safety; oversees productionization of end-to-end driving pipelines and foundation models; and partners with research teams to bring robotics, embodied AI, and generative AI advances into scalable autonomous vehicle systems.

Designs and deploys large-scale NVIDIA AI and HPC GPU infrastructure for cloud partners and strategic customers. Leads technical engagements across the customer lifecycle, supports infrastructure development and production, builds networking and compute proofs of concept, troubleshoots performance and scaling issues, and delivers technical presentations and workshops. Partners with sales and business teams to identify opportunities and provides customer feedback to influence product strategy.

The 12-week MedTech R&D Leadership Development Program internship gives graduate engineering students hands-on project experience, classroom and professional development training, and exposure to R&D platforms. Interns build technical, business, leadership, and cross-functional skills while working on innovative healthcare products and technologies. The program may identify high-performing interns for a full-time leadership program after graduation.

Leads enterprise-wide FP&A, including long-range planning, annual operating plans, forecasts, performance management, executive reporting, scenario analysis, and strategic decision support. Advises the CFO, CEO, executive team, and Board while overseeing finance transformation, planning systems, analytics, AI adoption, governance, and global FP&A talent development. Partners across finance and business functions on resource allocation, cost efficiency, capital deployment, cash flow, and operating performance.

Lead F5’s global product design organization and define the UX/UI vision across platform products. Develop scalable design strategies, unified design systems, and AI-enabled user experiences. Partner with product, engineering, AI, marketing, and analytics teams to improve accessibility, personalization, usability, adoption, retention, and customer satisfaction. Mentor and scale cross-functional design teams while balancing executive-level strategy with hands-on guidance and timely execution.

Develop and maintain software for real-time 3D visualization, science simulations, virtual human anatomy, medical simulations, and AI applications. Responsibilities include implementing software solutions from design specifications, studying algorithms and user experiences, troubleshooting and debugging existing applications, and collaborating with cross-functional teams. The role is intended for a junior developer with C++, 3D graphics, machine learning, and LLM experience.

Develop and operate machine learning systems for automated manufacturing. Responsibilities include building scalable data and model infrastructure, automating ML pipelines, deploying models to production and edge devices, monitoring performance, optimizing latency, integrating AI/ML tools, managing incidents, ensuring security and privacy, and collaborating with automation engineers, data scientists, data engineers, and software teams.

Designs and executes NAND cell and array characterization experiments, develops trims for improved read performance and reliability, analyzes semiconductor data, builds predictive models, and collaborates with device, design, reliability, test, and wafer fabrication teams. The role drives wafer-level reliability experiments, production trim releases, degradation scorecards, screening improvements, and back-end test yield optimization for next-generation 3D NAND products.

The role involves integrating machine learning and classical trajectory planners within safety frameworks for autonomous vehicles, focusing on architecture, planning, and control algorithms.