Santa Clara, California, United States · On-site
$152k–$242k/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. This position aims to …
Skills: Deep Learning, Machine Learning, Computer Vision, Python, PyTorch
Santa Clara, California, United States · On-site
$183k–$203k/yr
Position Type: Assistant Professor in Marketing Position Type: Regular Salary Range: $182,580 - 202,867 Purpose: The Department of Marketing in the Leavey School of Business at Santa Clara University is seeking to fill o…
Skills: Quantitative Marketing, Quantitative Modeling, AI Applications, Branding, Advertising
Santa Clara, California, United States · Hybrid
$134k–$231k/yr
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less in…
Skills: Electromechanical Systems, Geometric Dimensioning And Tolerancing (GD&T), Medical Device Regulations, Robotic Machines, Mechatronics
Santa Clara, California, United States · On-site
$147k–$203k/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: Mechanical Design, FEA, Thermal Analysis, Structural Analysis, Flow Simulations
Santa Clara, California, United States · On-site
$147k–$203k/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: Mechanical Design, FEA, Thermal Analysis, Structural Analysis, Flow Simulations
Santa Clara, California, United States · On-site
$143k–$222k/yr
The Data Intelligence team is a new function within Amazon Customer Service. We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy. We also develop and apply Gene…
Skills: Generative AI, Machine Learning, Natural Language Processing, Ontology, Text Analysis
Santa Clara, California, United States · On-site
$120k–$179k/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: DSP Architecture, C++, MATLAB, Python, Digital Signal Processing
Folsom, California, United States · Hybrid
$142k–$269k/yr
Job Details: Job Description: Are you passionate about working with a team that integrates and brings up innovative graphics technologies and tests its limits? You will be working with highly motivated Graphics engineers…
Skills: GPU Validation, Pre-Silicon Validation, Computer Architecture, C/C++, PythonSV
Santa Clara, California, United States · On-site
$184k–$288k/yr
The Autonomous Vehicles Platform team is seeking a Senior System Software Engineer to help bring NVIDIA's autonomous vehicle platform to the market. This role involves developing and productizing innovative solutions tha…
Skills: Embedded Systems, Software Integration, Architecture Design, Kernel Debugging, Linux
Santa Clara, California, United States · On-site
Do you feel you think differently, you are eager to break status quo, are bold and ambitious, aren’t afraid to take risks and are passionate to build the best of class technology. If yes, what better place to be at and d…
Skills: Machine Learning, Large Language Models, Natural Language Processing, Information Retrieval, Kubernetes
Santa Clara, California, United States · On-site
Job Summary: Provides mental health assessment, diagnosis, treatment and crisis intervention services for adult and/or child members who present themselves from psychiatric evaluation with a broad range of mental health …
Skills: Mental Health Assessment, Crisis Intervention, Psychotherapy, DSM-V Diagnosis, Treatment Planning
Santa Clara, California, United States · On-site
$145k–$160k/yr
Company Description Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, he…
Skills: Environmental Testing, Reliability Engineering, Electro-Mechanical Systems, Vibration Testing, Thermal Dynamics
Santa Clara, California, United States · On-site
$163k–$224k/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: Strategic Direction, Account Management, Value Pricing Analysis, Financial Forecasting, Project Management
Santa Clara, California, United States · On-site
$124k–$171k/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: CAD software, Thermodynamics, Sheet metal design, Material selection, Manufacturing methods
Santa Clara, California, United States · On-site
$134k–$184k/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: RF Engineering, Power Products, Supplier Technical Audits, Root Cause Analysis, Design For Manufacturability
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: Plasma Sensing, Algorithm Development, RF/DC Plasma Systems, MATLAB, Python
Santa Clara, California, United States · On-site
$124k–$171k/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: CAD Software, Thermodynamics, Sheet Metal Design, Material Selection, Manufacturing Methods
Santa Clara, California, United States · On-site
$124k–$171k/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: CAD Software, Thermodynamics, Sheet Metal Design, Material Selection, Manufacturing Methods
Santa Clara, California, United States · On-site
$233k–$350k/yr
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > CPU Engineering General Summary: Qualcomm Data Center team is developing High performance, Energy efficient server solution for data cen…
Skills: Server SoC Design, Semiconductor Architecture, ARM Architecture, Hardware Engineering, Systems Engineering
Santa Clara, California, United States · On-site
$128k–$191k/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: Post-Silicon Validation, SSD Chipsets, Bare-Metal Firmware, NAND Bring-up, C/C++
Santa Clara, California, United States • On-site
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Develop and prototype AI system architectures and inference pipelines for semiconductor defect inspection and analysis. Convert research into production-ready products for industrial inspection scenarios in fabrication environments.
Requires an MS or PhD in Computer Science, Electrical Engineering, or a related field with 3+ years of experience in applied AI or computer vision. Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow is essential.
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. This position aims to reinforce NVIDIA’s semiconductor inspection roadmap by expanding operational capacity in a strategically meaningful area. The immediate focus centers on developing concrete AI products—models, adaptation workflows, and inference pipelines—building on the robust technical foundation already set with semiconductor customers and partners. This role balances the use of innovative methods with the delivery of practical systems that operate within tight deployment budgets in inspection environments.
NVIDIA is looking for a Sr. Software Engineer specializing in systems inspection. The role involves developing the next generation of AI products for semiconductor analysis in Santa Clara. This position will concentrate on redefining promising technical approaches into production-ready models and inference pipelines for key semiconductor manufacturing projects. The work focuses on computer vision, multimodal AI, anomaly detection, model compression, and deployment optimization. The team is currently developing innovative anomaly generation and inspection workflows for semiconductors. These workflows face challenges like limited data, domain shifts, and tight deployment requirements in fabrication facilities. This role is aimed at speeding up roadmap progress and turning research momentum into deployable AI products within a small, high-impact core team and consistently advancing model quality, robustness, and production readiness for challenging industrial inspection scenarios.
Define and prototype AI system architectures for semiconductor defect inspection across optical inspection, e-beam inspection, wafer and mask inspection, metrology, and defect review workflows.
Advance WFM capabilities for semiconductor inspection, including multimodal representation learning, model adaptation, domain transfer, and data-scarce defect understanding.
Work with our partners to integrate and enhance existing computer vision and multimodal inspection workflows for defect detection, classification, localization, segmentation, nuisance filtering, ADC, and ADR.
Design agentic inspection flows for air-gapped fab environments, connecting data triage, model inference, review assistance, root-cause analysis, human approval, and secure deployment constraints.
Use semiconductor metrology, inspection, review, and process context, including CD, LER, LWR, overlay, wafer maps, defect maps, SPC signals, and yield signals, to improve model quality and fab decision support.
Work with our partners to address noisy, limited, and shifting fab data, including tool-to-tool calibration, domain-shift mitigation, synthetic defect generation, noise simulation, and augmentation.
Convert research into customer-ready semiconductor inspection products with clear evaluation, failure analysis, monitoring, optimization, and production deployment paths.
Partner with research, software, process, metrology, inspection, review, and hardware teams to define roadmap priorities for next-generation semiconductor AI inspection systems.
MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field, or equivalent experience.
3+ years of proven experience in deep learning, machine learning, computer vision, or applied AI.
Strong programming skills in Python and experience with modern deep learning frameworks such as PyTorch or TensorFlow.
Experience developing or applying foundational world models in computer vision for classification, detection, segmentation, anomaly detection, or multimodal understanding.
Familiarity with self-supervised, few-shot, weakly supervised, unsupervised, or domain adaptation approaches relevant to inspection problems.
Strong analytical, communication, and cross-functional collaboration skills.
Experience with semiconductor inspection, industrial visual inspection, manufacturing AI, metrology, or defect review workflows.
Experience with knowledge distillation, model compression, quantization, pruning, or deployment optimization for edge or production environments.
Background in anomaly detection or anomaly generation, especially in domains with unusual labels and shifting visual distributions.
Familiarity with NVIDIA software and deployment tools such as TensorRT, CUDA, cuDNN, Triton, DeepStream, TAO Toolkit, or RAPIDS.
Experience building end-to-end pipelines that span data curation, training, evaluation, export, and inference in production settings.
With a competitive salary package and benefits, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous Systems Software Engineer who loves challenges? Do you have a genuine passion for advancing the state of semiconductor inspection across a variety of industries? If so, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Offices: 2701 San Tomas Expressway, Santa Clara, CA 95050, US · No. 8, Ji Hu Rd., Taipei City, Taipei City 114, TW · Nanakramguda, Serilingampally Mandal, Plot # 6A&B, IT Park Layout, RR District, Hyderabad, Telangana 500046, IN · No. 127 Andheri Kurla Road, CNB Square, Mumbai, Village Chakala, Andheri East 400 093, IN · Survey No. 144/145, Samrat Ashok Path, Off Airport Road, Pune, Yerwada 411 006, IN
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