Machine Learning Jobs in San Jose, CA

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.

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.

Lead development of data pipelines, ETL, and analytics for pre- and post-silicon DFT data; apply statistical methods and applied AI/GenAI to solve EDA/DFT problems; design scalable distributed databases; collaborate across teams and mentor junior engineers.

Own end-to-end backend IC design automation flow bring-up for new semiconductor process nodes, including PDK, standard-cell library, Foundation IP, EDA tool, script, and infrastructure integration. Develop regression tests, qualify and deploy production flows, support design teams through tape-out, and provide debugging, training, documentation, and methodology improvements. Collaborate across global engineering teams and apply AI/ML to regression analysis, flow optimization, and knowledge capture.

Supports FP&A and enterprise analytics by developing scalable Power BI reporting, financial models, dashboards, and automated processes. Analyzes financial and operational datasets to identify trends, risks, and opportunities; improves forecasting, budgeting, and recurring reporting workflows using Excel, Python, SQL, Power Automate, and Microsoft platforms. Collaborates with finance, data engineering, IT, and business stakeholders, trains users, maintains governance standards, and contributes to the Pigment planning platform. Evaluates AI-enabled tools to improve reporting efficiency, data quality, and decision-making.

Lead global business development for Advantest Cloud Solutions, driving strategy, customer engagement, solution selling, proposals, pricing, negotiations, revenue, profitability, and account growth. Partner with sales, marketing, solution integration, pre-sales, and customer support teams to customize value propositions, address customer needs, manage budgets, and support real-time data infrastructure and analytics solutions for semiconductor customers.

Lead research and development of emerging ML (embeddings, foundation models, transformers). Build and productionize machine learning models at scale, partner with product and engineering, analyze large-scale transactional and clickstream data, and run experiments to improve customer experiences across marketing, servicing, and fraud domains.

Lead the architecture, implementation, integration, and optimization of enterprise business systems across finance, supply chain, billing, and customer platforms. Develop system roadmaps, standardize tooling, automate workflows using middleware and AI, ensure SOX and ITGC compliance, troubleshoot complex issues, build reporting dashboards, and mentor team members. The role requires close collaboration with stakeholders and senior leadership to deliver scalable enterprise solutions.

Lead RTL development and microarchitecture for an AI-enabled RISC-V CPU core, including vector and matrix engines. Own functional features, performance, power, area, timing, and physical design considerations. Develop specifications, optimize RTL, support verification, and collaborate on CPU modeling, design verification, and SoC integration. The role requires deep expertise in high-performance CPU architecture, cache and memory subsystems, SystemVerilog or related HDL technologies, and advanced processor design.

Own and improve 2D, 3D, and fusion-based image segmentation models for clinical ultrasound and CT analysis. Build training, evaluation, dataset, and labeling pipelines; collaborate with clinicians, contractors, and data teams; and productionize auditable, low-latency inference services with confidence scoring, drift monitoring, and safe fallbacks. Work under medical-device design controls and support robust modeling across diverse patient anatomy and imaging conditions.

Build and deploy agentic and generative AI systems that automate risk and compliance investigations. Own full-stack ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based modeling across transaction, graph, text, and profile data. Collaborate with product, engineering, platform, and operations teams while leading strategic roadmaps and delivering scalable production systems.

Build and deploy agentic and generative AI copilot and autopilot systems for risk and compliance automation. Own end-to-end ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based model development. Collaborate with product, engineering, platform, and operations teams to improve fraud detection and analyst productivity. Drive strategic roadmaps and cross-functional programs with significant business impact.

Develop and maintain advanced inventory and supply planning models, inventory optimization targets, scenario analyses, dashboards, and KPIs. Use Python, SQL, BI tools, predictive modeling, and machine learning to support supply planning, S&OE/S&OP, demand-supply coverage, capacity constraints, and inventory health. Partner with planning teams to improve data quality, automation, governance, model reliability, and executive decision-making.

Full-time hybrid summer technology internship at Johnson & Johnson from May 24 through August 13, 2027. Interns contribute to technology projects across software engineering, data engineering, AI and machine learning, cybersecurity, cloud and DevOps, UX, digital health, platform engineering, and connected devices. Responsibilities include building solutions, analyzing data and processes, collaborating with stakeholders, supporting project portfolios, and developing technology capabilities. The program may serve as a feeder into the Technology Leadership Development Program.

As a Senior Machine Learning Engineer, you will develop advanced machine learning and deep learning models and platforms for optimizing advertising performance and conduct complex experiments.

Develop and optimize lightweight machine learning models for edge AI applications, integrating into production systems and mentoring junior engineers.

The Software Intern at Cadence will work on research and development using machine learning technologies for on-chip parasitic modeling in a team environment.

Drive planning and execution of multiple software and ML workstreams, manage cross-functional dependencies, gather requirements, track schedules, support development-to-deployment, and improve processes to deliver customer product releases.

Lead the design, training, evaluation, and deployment of large-scale machine learning models, including LLMs, diffusion models, and GNNs. Own distributed training pipelines, dataset interfaces, optimization strategies, model evaluation, serving, and lifecycle management. Collaborate with data, infrastructure, and scientific teams while providing technical leadership through architecture reviews, mentorship, and cross-functional decision-making.

Lead presales for data and AI initiatives: design and present Microsoft Fabric-based data platforms, run discovery and AI workshops, scope proposals, translate technical designs into business value, mentor delivery, and support go-to-market and thought leadership.