Santa Clara, California, United States · On-site
$224k–$308k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: AI, Automation, MLOps, Robotic Process Automation, Software Engineering
Santa Clara, California, United States · On-site
$116k–$190k/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping i…
Skills: Circuit Design, Standard Cell Characterization, SPICE Simulation, Python, Perl
Santa Clara, California, United States · On-site
$184k–$357k/yr
NVIDIA is searching for a highly motivated, creative embedded software engineer to join the GPU Software team. As someone who is hardworking and passionate about their work, you will design key aspects of our RISCV BSP p…
Skills: C Programming, Embedded Systems, Device Driver Development, RISCV Architecture, Computer System Architecture
Santa Clara, California, United States · On-site
$172k–$236k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Product Management, Technical Marketing, Financial Acumen, Program Management, Business Strategy
Santa Clara, California, United States · Hybrid
$196k–$300k/yr
At d-Matrix, we are focused on unleashing the potential of generative AI to power the transformation of technology. We are at the forefront of software and hardware innovation, pushing the boundaries of what is possible.…
Skills: Technical Program Management, Agile Methodologies, Stakeholder Management, Risk Mitigation, Software Development Lifecycle
Santa Clara, California, United States · On-site
$168k–$265k/yr
NVIDIA is searching for an outstanding researcher working on efficient deep learning to join the deep learning efficiency research team. We are passionate about research that pushes boundaries but also has impact in the …
Skills: Efficient Deep Learning, Post-training Model Optimization, Pruning, Quantization, Neural Architecture Search
Santa Clara, California, United States · Remote OK
$152k–$242k/yr
The Financial Services Solution Architect team is looking for an extraordinary person to join an experienced team of Quants and Data Scientists, engaging the finance industry with compelling examples of full-stack accele…
Skills: Python, C++, PyTorch, Spark, Dask
Santa Clara, California, United States · On-site
$224k–$357k/yr
We are seeking a highly technical and strategic Senior Developer Relations Manager to join our team, with a focus on engaging developers within a key named software account. In this pivotal role, you will work directly w…
Skills: Developer Relations, Observability, AI Software, Security Software, Technical Partnership Management
Santa Clara, California, United States · On-site
$172k–$236k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Product Strategy, Service Marketing, Pricing Models, Financial Planning, Business Analytics
Santa Clara, California, United States · On-site
$136k–$259k/yr
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping i…
Skills: Technical Program Management, Hardware Product Development, Project Management, Product Lifecycle Management, Matrix Leadership
Santa Clara, California, United States · On-site
$102k–$210k/yr
Oracle Cloud Infrastructure (OCI) is seeking a Senior Materials Supply Chain Management leader to lead materials planning, manufacturing coordination, and supply execution supporting OCI’s global cloud infrastructure and…
Skills: Materials Planning, Manufacturing Coordination, Supply Execution, Inventory Optimization, Supplier Management
Santa Clara, California, United States · On-site
$102k–$210k/yr
Oracle Cloud Infrastructure (OCI) is seeking an experienced Principal Supply Chain Program Manager to lead the strategy, governance, and execution of the Excess & Obsolete (E&O) Inventory Management Program within the Su…
Skills: Supply Chain Management, Inventory Management, Excess & Obsolete Inventory Management, Supply Planning, Lifecycle Planning
Santa Clara, California, United States · On-site
$135k–$306k/yr
Job Description Oracle Cloud Infrastructure (OCI) delivers mission-critical applications for top tier enterprises around the world. Our cloud offers unmatched hyper-scale, multi-tenant services deployed in more than 50 r…
Skills: Distributed Systems, Key-Value Store, Low-Level Systems, Data-Plane Design, High Performance Computing
Santa Clara, California, United States · Hybrid
$320k–$489k/yr
Within NVIDIA's Edge AI, Metropolis, and Blueprints (EMB), this team powers NVIDIA’s Vision AI strategy from model onboarding to production deployment. We transform foundation models into real-time, GPU-accelerated video…
Skills: Deep Learning, Low-Latency Inference, GPU Optimization, TensorRT, vLLM
Santa Clara, California, United States · On-site
$193k–$262k/yr
The future of software development is agentic. AWS is building Kiro — a frontier AI coding agent that tackles development tasks end-to-end, retains context across complex workflows, and continuously learns from its work.…
Skills: Software Development, System Design, Architecture, AI Orchestration, Distributed Systems
Santa Clara, California, United States · On-site
$193k–$262k/yr
The future of software development is agentic. AWS is building Kiro — a frontier AI coding agent that tackles development tasks end-to-end, retains context across complex workflows, and continuously learns from its work.…
Skills: Software Development, System Architecture, AI Orchestration, Distributed Systems, Real-time Streaming
Santa Clara, California, United States · On-site
$143k–$197k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: GenAI, Large Language Models, Agentic AI, RAG, PyTorch
Santa Clara, California, United States · On-site
$137k–$205k/yr
About Marvell Marvell’s semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology …
Skills: Silicon Photonics, Optical Transceiver Modules, NPI, Opto-electrical Testing, DFM
Santa Clara, California, United States · On-site
$161k–$221k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Lithography Process Engineering, Semiconductor Manufacturing, Metrology, DUV Lithography, H-line Lithography
Santa Clara, California, United States · On-site
$172k–$236k/yr
Who We Are Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that help…
Skills: Financial Modeling, Accounting, Equity Research, Investment Banking, Public Accounting
Santa Clara, California, United States • On-site
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
The Senior Director will drive the enterprise-wide strategy and execution of AI and automation capabilities, leading cross-functional teams and influencing senior stakeholders. They will own the full AI lifecycle from ideation to production deployment while building a culture of innovation and responsible AI use.
Candidates should have over 15 years of experience in software engineering or AI/ML, with at least 7 years in leadership roles. A strong track record in delivering enterprise-scale AI programs and experience with RPA programs is essential.
Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips – the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world – like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.
Salary:
$224,000.00 - $308,000.00Location:
Santa Clara,CAYou’ll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible—while learning every day in a supportive leading global company. Visit our Careers website to learn more.
At Applied Materials, we care about the health and wellbeing of our employees. We’re committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.
Position Overview
Applied Materials is seeking a visionary engineering leader to drive the enterprise-wide strategy and execution of AI, Generative AI, Agentic Automation, MLOps, and Robotic Process Automation (RPA) capabilities. Reporting to the VP of Engineering, this leader will own the full AI/GenAI lifecycle—from ideation and PoC through production deployment and enablement—while leading cross-functional teams, influencing senior stakeholders, and building a culture of innovation and responsible AI use.
Strategic AI & GenAI Leadership
Own the Enterprise AI/GenAI strategy and PoC-to-production delivery across domains (Contract Analytics, Quality, Finance, Supply Chain), aligning investments with business priorities.
Architect and govern the Enterprise Agentic AI Strategy, deploying multi-agent frameworks and LLM-powered tools at scale.
Drive fine-tuning, prompt engineering, and domain adaptation of LLMs for Applied Materials’ use cases; contribute to AI governance and commercialization at the executive level, and represent the organization at industry conferences (e.g., ET India, EPTC Singapore).
Enterprise LLM Platform & Multi-Cloud AI Infrastructure
Enable secure enterprise access to 100+ LLMs across Azure AI Foundry, AWS Bedrock, and GCP Vertex AI, integrating open-source models via artifact platforms (e.g., JFrog).
Partner with Security, Legal, and Infrastructure to streamline PoC cycles, standardize sizing, and ensure compliant AI deployment.
Enable autonomous AI environments and MCP (Model Context Protocol) servers for internal tools and agentic workflows.
MLOps & Model Lifecycle Management
Lead end-to-end MLOps programs — training pipelines, CI/CD for ML, feature stores, and production monitoring — and drive modernization of ML infrastructure (e.g., CDSW → Databricks).
Establish model governance (bias detection, explainability, drift monitoring, retraining) and champion Databricks best practices across data science and engineering teams.
Agentic AI & Automation
Architect and deploy enterprise-grade multi-agent AI systems for complex, multi-step workflows, integrating with ERP, CRM, and ITSM to automate high-value decisions end-to-end.
Design internal AI tools and agents (e.g., AI Finance Bot, domain-specific LLM applications) and lead the roadmap for next-generation agentic platforms as emerging capabilities mature.
Robotic Process Automation (RPA)
Lead the RPA Center of Excellence and enterprise-scale automation programs, delivering measurable cost avoidance ($100M+ annually) and operational efficiency gains.
Champion modern RPA platforms (UiPath AutoPilot) and AI-augmented tooling; expand automated ticket resolution to 60%+ of support requests.
Establish RPA governance, change control, and operational KPIs to sustain reliability and scalability of the automation estate.
Experience
15+ years in software engineering, data science, or AI/ML, with 7+ years leading large engineering or AI teams.
Track record delivering enterprise-scale AI/GenAI programs with measurable business impact, and building/scaling production MLOps platforms.
Experience deploying RPA programs at scale (UiPath, Blue Prism, Automation Anywhere, or equivalent) and hands-on with agentic AI frameworks (LangChain, AutoGen, CrewAI, or comparable).
Experience leading governance, legal, and security review processes for AI/GenAI deployments in regulated or enterprise contexts.
Technical Skills
Deep LLM expertise: fine-tuning, prompt engineering, RAG architectures, and domain adaptation.
Multi-cloud AI platforms (Azure AI Foundry, AWS Bedrock, GCP Vertex AI) and MLOps tooling (Databricks/MLflow, Kubeflow, SageMaker, or equivalent), with model monitoring and drift detection.
RPA development and platform management: UiPath (including AutoPilot), with automation governance and COE operations.
Python fluency with modern AI/ML libraries (PyTorch, Hugging Face Transformers, LangChain).
MCP (Model Context Protocol), tool-calling, and agent orchestration patterns; enterprise integration, API-based automation, and workflow orchestration.
Experience in semiconductor, advanced manufacturing, or capital equipment industries, with familiarity applying AI/ML to quality, supply chain, or engineering operations.
Contributions to AI governance frameworks, responsible AI policies, or AI ethics programs at the enterprise level, plus recognized industry contributions (awards, publications, conference talks, open-source).
Degree in Computer Science, Machine Learning, or a related technical field.
The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.
For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.
Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.
In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at [email protected], or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
We deliver material innovation that changes the world.
Applied Materials is the leader in materials engineering solutions that are at the foundation of virtually every new semiconductor and advanced display in the world. The technology we create is essential to advancing AI and accelerating the commercialization of next-generation chips. At Applied, we push the boundaries of science and engineering to deliver material innovation that changes the world. We look forward to engaging with you on compelling topics about the semiconductor industry. We want to hear from you, but offensive comments that create an unpleasant environment for our community will be removed. Thanks for your understanding.
Offices: 3050 Bowers Avenue, Santa Clara, CA 95054, US
Based on 1883 listings with disclosed salaries, most engineering jobs in Santa Clara, CA pay between $120k–$274k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 2,022 open engineering positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Applied Materials, NVIDIA, Marvell Technology, Qualcomm, Intel, among others. Browse the listings above to see every active employer.
Yes — 339 of the 2022 open engineering positions offer remote or hybrid work (75 remote, 264 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
