Santa Clara, California, United States · On-site
$224k–$357k/yr
NVIDIA is looking for a Machine Learning Engineer to join the GPU accelerated Apache Spark team. Apache Spark is the most popular data processing engine in data centers for running massive scale workloads for ETL, SQL, a…
Skills: Apache Spark, Machine Learning, GPU Acceleration, Python, Numpy
Santa Clara, California, United States · On-site
$97k–$133k/yr
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Quality Engineering, Metrology, Root Cause Analysis, FIB/TEM, Data Analysis
Santa Clara, California, United States · On-site
$140k–$210k/yr
Company:Qualcomm Technologies, Inc. Job Area:Engineering Group, Engineering Group > ASICS Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-g…
Skills: Asic Design, Verification, Validation, Integration, Rtl To Gds Flow
Santa Clara, California, United States · On-site
Postion Summary: In this role, you will be working as a SW engineer in the lab & field test team working in various wireless test programs. The work will involve RF test system design, test setup, test scripts developmen…
Skills: Python, RF Test System Design, Test Automation, Wireless Communication, Git
Folsom, California, United States · Hybrid
$156k–$220k/yr
Job Details: Job Description: About Us The Technology Development (TD) Quality and Reliability organization enables successful deployment of Intel's leading-edge process technologies through silicon-based quality, reliab…
Skills: Memory testing, SRAM, Register file, Fuse array, Silicon characterization
Santa Clara, California, United States · On-site
$108k–$196k/yr
NVIDIA is looking for enthusiastic New College Graduates to join the Applied Systems Engineering team in a 12-month rotation program. ASE engages with the entire lifecycle of next-generation AI supercomputing pre-cluster…
Skills: Linux, Python, C, C++, Java
Santa Clara, California, United States · On-site
$97k–$133k/yr
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Quality Engineering, Metrology, Root Cause Analysis, FIB/TEM, Data Analysis
Santa Clara, California, United States · Hybrid
$125k–$201k/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: Systems engineering, Architecture design, Requirements management, Risk management, Electro-mechanical systems
Santa Clara, California, United States · On-site
$152k–$288k/yr
Quantum Information Science presents an exciting opportunity to transform the high performance computing landscape! NVIDIA is at the forefront of innovation in accelerated computing, solving the world's most important pr…
Skills: Product Marketing, Product Management, Quantum Computing, High-Performance Computing, Data Center Marketing
Santa Clara, California, United States · Hybrid
$232k–$405k/yr
Company Description It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for …
Skills: Machine learning, Deep learning, Reinforcement learning, Python, PyTorch
Santa Clara, California, United States · On-site
Company Description Element Six, part of De Beers Group, is a global leader in the design, development and production of synthetic diamond and tungsten carbide supermaterials. With research and development facilities and…
Skills: Manufacturing, Polishing, Lapping, Inspection, Quality control
Santa Clara, California, United States · On-site
$40/hr–$55/hr
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, Thermal chambers, Vibration testing, ISO 17025
Santa Clara, California, United States · On-site
$25/hr–$30/hr
Little Medical School Instructor (Part-Time) Love working with kids? Interested in medicine, science, or education? Little Medical School is looking for energetic, enthusiastic instructors to bring hands-on medical and S…
Skills: Teaching, Childcare, STEM education, Communication, Public speaking
Santa Clara, California, United States · On-site
$147k–$203k/yr
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Semiconductor manufacturing, Process engineering, Hardware characterization, Data analysis, Troubleshooting
Santa Clara, California, United States · On-site
$147k–$203k/yr
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Process engineering, Semiconductor manufacturing, Hardware characterization, Data analysis, Technical documentation
Santa Clara, California, United States · On-site
$124k–$171k/yr
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Process engineering, Semiconductor manufacturing, Hardware characterization, Root cause analysis, Data analysis
Santa Clara, California, United States · On-site
$147k–$203k/yr
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Process engineering, Semiconductor manufacturing, Data analysis, Hardware characterization, Troubleshooting
Santa Clara, California, United States · On-site
$147k–$203k/yr
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Process engineering, Semiconductor manufacturing, Display manufacturing, Data analysis, Hardware characterization
Santa Clara, California, United States · On-site
$184k–$357k/yr
NVIDIA’s accelerated computing platform is foundational to modern HPC and AI. At the center of this platform are CUDA Core Libraries that enable developers to build fast, reliable, and scalable GPU-accelerated software. …
Skills: Rust, C++, CUDA, GPU Programming, API Design
Santa Clara, California, United States · On-site
$147k–$203k/yr
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that …
Skills: Process engineering, Semiconductor manufacturing, Hardware characterization, Data analysis, Troubleshooting
Santa Clara, California, United States • On-site
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You will design and implement machine learning solutions to optimize GPU-accelerated Apache Spark workloads and develop AI-based tools for system performance. Additionally, you will collaborate with partners and customers to deploy complex ML solutions while providing technical leadership to the engineering team.
Candidates must have a degree in a relevant field and over 12 years of professional experience in ML/DL solution development. Strong programming skills in Python and deep expertise in large-scale data processing platforms like Apache Spark are required.
NVIDIA is looking for a Machine Learning Engineer to join the GPU accelerated Apache Spark team.
Apache Spark is the most popular data processing engine in data centers for running massive scale workloads for ETL, SQL, and ML/DL model training and inference pipelines, spanning many domains and use cases. NVIDIA GPUs offer a promising avenue for significantly speeding up and/or lowering the cost of running very large Apache Spark applications. You will work with the open source community to accelerate Apache Spark with GPUs. You will apply the latest ML/AI methods to empower enterprises to migrate Spark workloads onto GPUs at scale.
Design and implement machine learning solutions for performance prediction and optimization of GPU accelerated enterprise Apache Spark workloads.
Develop advanced algorithms and adaptive systems to continuously improve the performance of Apache Spark workloads on GPUs.
Develop AI-based agents and tools to assist with fixing system issues and application optimization.
Collaborate with key partners and customers on the deployment of complex machine learning solutions in various environments.
Maintain deep domain expertise by knowing the latest published advances in ML systems and algorithms.
Provide technical mentorship and leadership in data science and machine learning to a team of engineers.
BS, MS, or PhD or equivalent experience in Machine Learning, Data Science, Computer Science or a closely related field.
12+ years of professional experience in designing, implementing, and productionizing high-quality ML/DL solutions.
3+ experience as technical lead in ML model development.
Proven hands-on experience (2+ years) with large-scale data processing platforms, such as Apache Spark.
Proven ability to employ modern tooling and sound techniques for all aspects of crafting, deploying, and maintaining machine learning models.
Excellent programming skills in Python and Python data science related libraries like numpy, pandas, scikit-learn, scipy, pytorch, and tensorflow.
Deep experience with sophisticated ML methodologies, including LLM/GenAI, reinforcement learning, and adaptive, on-line ML systems.
Strong expertise in feature engineering, feature importance assessment, and developing boosted tree model solutions (e.g., XGBoost).
Understanding of the internal workings and architecture related to Apache Spark.
Familiarity with NVIDIA GPUs and CUDA.
Experience coding in Scala, Java, and/or C++.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and dedicated people in the world working for us. If you are passionate about what you do, creative and autonomous, 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 224,000 USD - 356,500 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
Based on 930 listings with disclosed salaries, most science & research jobs in Santa Clara, CA pay between $115k–$260k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 1,025 open science & research positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Applied Materials, NVIDIA, Qualcomm, Johnson & Johnson Innovative Medicine, SCU College of Arts and Sciences, among others. Browse the listings above to see every active employer.
Yes — 145 of the 1025 open science & research positions offer remote or hybrid work (18 remote, 127 hybrid).
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