Santa Clara, California, United States · On-site
$136k–$265k/yr
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing…
Skills: Python, C++, Machine Learning, Statistical Modeling, Computer Architecture
Santa Clara, California, United States · On-site
$152k–$209k/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: C, C++, .Net, C#, Operating Systems
Santa Clara, California, United States · On-site
$224k–$357k/yr
NVIDIA is looking for a hands-on Solutions Architect to raise the Day 2 operations bar across our NVIDIA Cloud Partner ecosystem. Day 2 starts when a cluster is installed and validated: keeping the service healthy, adapt…
Skills: Solutions Architecture, Cloud Engineering, Site Reliability Engineering, GPU Infrastructure, HPC
Santa Clara, California, United States · On-site
$184k–$357k/yr
We are looking for an experienced software professional to contribute to design and development of accelerated and distributed implementations of Python APIs for numerical computing. In the last decade, Python has become…
Skills: Python, C++, CUDA, Numerical methods, Distributed computing
Santa Clara, California, United States · Hybrid
$184k–$357k/yr
Reinforcement learning post-training is driving some of the most significant capability gains in AI today. It is the process that teaches a model to reason through hard problems, follow complex instructions, and act as a…
Skills: Reinforcement learning, Distributed systems, Python, C++, PyTorch
Santa Clara, California, United States · On-site
$152k–$209k/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: C/C++, .Net, C#, Operating Systems, Networking
Santa Clara, California, United States · Hybrid
$109k–$140k/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: Full-stack development, React, Angular, Vue, HTML5
Santa Clara, California, United States · Remote OK
$201k–$352k/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: Software engineering, System architecture, Python, Node.js, Java
Santa Clara, California, United States · On-site
$126k–$264k/yr
The Senior Manager of Manufacturing Automation & Systems Engineering leads the strategy, design, qualification, deployment, and optimization of automation solutions across manufacturing products and sites. This role esta…
Skills: Manufacturing automation, Systems engineering, Strategy development, Automation design, Qualification
Santa Clara, California, United States · On-site
$180k–$270k/yr
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the …
Skills: Python, Go, Rust, CI/CD, Kubernetes
Santa Clara, California, United States · Remote OK
$155k–$272k/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: Pricing strategy, Monetization strategy, SaaS business knowledge, Market segmentation, Analytical techniques
Santa Clara, California, United States · On-site
$140k–$165k/yr
Company Overview: Established in Taiwan in 1974, Hon Hai Technology Group, commonly known as Foxconn, is the world’s largest electronics manufacturer and leading provider of technological solutions with a network o…
Skills: BIOS, UEFI, Firmware Development, Debugging, PCIe
Santa Clara, California, United States · Remote OK
$191k–$334k/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: Product Management, Licensing Governance, Entitlement Management, Metering Governance, Consumption-Based Business Models
Santa Clara, California, United States · On-site
Company Description Who we are Moveworks: the Agentic AI Assistant platform that empowers the entire workforce. Our platform enables employees to converse with all of their business systems through natural language to qu…
Skills: Distributed systems, Python, Go, OpenTelemetry, Observability
Santa Clara, California, United States · Remote OK
$100k–$164k/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: Account management, Implementation, Sales, SaaS, Technical solutions
Santa Clara, California, United States · Hybrid
$221k–$387k/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: Product management, Voice AI, LLM evaluation, Conversational AI, ASR
Santa Clara, California, United States · Remote OK
$255k–$380k/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: Solutions architecture, Enterprise architecture, Technical leadership, Gen AI, AI/ML integration
Santa Clara, California, United States · Remote OK
$292k–$496k/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: Product management, AI platform strategy, Enterprise software architecture, Large language models, Agentic AI
Santa Clara, California, United States · On-site
About the Role We are looking for a Machine Learning Engineer to join our core research and development team focused on recovering accurate 3D human body and hand motion from egocentric (first-person) video. Human demons…
Skills: Machine learning, Computer vision, 3D human pose estimation, Python, PyTorch
Santa Clara, California, United States · On-site
$140k–$165k/yr
Company Overview: Established in Taiwan in 1974, Hon Hai Technology Group, commonly known as Foxconn, is the world’s largest electronics manufacturer and leading provider of technological solutions with a network o…
Skills: BMC Firmware, Open BMC, AMI Mega RAC, Redfish API, System Telemetry
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Develop and deploy machine learning-based power models to analyze and reduce energy consumption in NVIDIA GPUs, CPUs, and Tegra SOCs. Collaborate with cross-functional teams to integrate these models into architectural simulators and silicon platforms to influence design improvements.
Requires an MS or PhD in Electrical Engineering, Computer Science, or a related field with at least 5 years of experience. Candidates must possess strong coding skills in Python or C++ and a solid background in machine learning, computer architecture, and energy-efficient design.
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
We are now looking for a Senior Architecture Energy Modeling Engineer to join our Power Modeling, Methodology and Analysis Team! Our team is responsible for researching, developing, and deploying methodologies to help NVIDIA's products become more energy efficient; and is responsible for building energy models that integrate into architectural simulators, RTL simulation, emulation and silicon platforms. Key responsibilities include developing Machine Learning based power models to analyze and reduce power consumption of NVIDIA GPUs. You will collaborate with Architects, ASIC Design Engineers, Low Power Engineers, Performance Engineers, Software Engineers, and Physical Design teams to study and implement energy modeling techniques for NVIDIA's next generation GPUs, CPUs and Tegra SOCs. Your contributions will help us gain early insight into energy consumption of graphics and artificial intelligence workloads, and will allow us to influence architectural, design, and power management improvements.
Work with architects, designers, and performance engineers to develop an energy-efficient GPU.
Identify key design features and workloads for building Machine Learning based unit power/energy models.
Develop and own methodologies and workflows to train models using ML and/or statistical techniques.
Improve the accuracy of trained models by using different model representations, objective functions, and learning algorithms.
Develop methodologies to estimate data movement power/energy accurately.
Correlate the predicted energy from models built at different stages of the design cycle, with the goal of bridging early estimates to silicon.
Work with performance infrastructure teams to integrate power/energy models into their platforms to enable combined reporting of performance and power for various workloads.
Develop tools to debug energy inefficiencies observed in various workloads run on silicon, RTL, and architectural simulators. Identify and suggest solutions to fix the energy inefficiencies.
Prototype new architectural features, build an energy model for those new features, and analyze the system impact.
Identify, suggest, and/or participate in studies for improving GPU perf/watt.
MS or PhD in Electrical Engineering, Computer Engineering, Computer Science or equivalent experience.
5+ years experience.
Strong coding skills, preferably in Python, C++.
Background in machine learning, AI, and/or statistical modeling.
Background in computer architecture and interest in energy-efficient GPU designs.
Familiarity with Verilog and ASIC design principles is a plus.
Ability to formulate and analyze algorithms, and comment on their runtime and memory complexities.
Basic understanding of fundamental concepts of energy consumption, estimation, and low power design.
Desire to bring quantitative decision-making and analytics to improve the energy efficiency of our products.
Good verbal/written communication and interpersonal skills.
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. If you're creative and autonomous, we want to hear from you!
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 1388 listings with disclosed salaries, most software jobs in Santa Clara, CA pay between $131k–$328k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 1,521 open software positions in Santa Clara, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include NVIDIA, ServiceNow, Qualcomm, AMD, Applied Materials, among others. Browse the listings above to see every active employer.
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