Santa Clara, California, United States · On-site
$184k–$357k/yr
We are seeking a highly motivated power architect to own and advance a critical power estimation and analysis platform used to guide architecture and product decisions. This role sits at the intersection of software deve…
Skills: Python, C++, SoC Architecture, Power Estimation, Performance Modeling
Santa Clara, California, United States · Remote OK
$224k–$357k/yr
NVIDIA is looking for a hands-on Solutions Architect Manager to lead a team of GPU, networking & software solution architects and engineers. Do you want to build and lead a group that designs, debugs, and deploys new AI …
Skills: GPU Architecture, Networking, System Engineering, Data Center Infrastructure, Linux
Santa Clara, California, United States · On-site
$184k–$357k/yr
NVIDIA is building GPU acceleration for the analytical data processing ecosystem: the query engines, data platforms, and processing frameworks that the world runs its analytics on. Making that real means embedding an acc…
Skills: Analytical data systems, Query execution, Query optimization, Vectorized processing, Columnar processing
Santa Clara, California, United States · On-site
$224k–$357k/yr
NVIDIA's invention of the GPU fueled the AI revolution and transformed how the world builds intelligent systems. Today, NVIDIA is transforming how AI accelerates every aspect of our own business. Our Enterprise AI organi…
Skills: Python, TypeScript, PostgreSQL, Kubernetes, LLMs
Santa Clara, California, United States · On-site
$184k–$357k/yr
At NVIDIA, we’re pushing the boundaries of AI, robotics, and accelerated computing to transform industries and improve lives. With the launch of Cosmos 3 — the world’s first fully open omni model for Physical AI, combini…
Skills: Robotics, Artificial Intelligence, Deep Learning, World Foundation Models, Computer Vision
Santa Clara, California, United States · On-site
$141k–$193k/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: Workday, HRIS, Talent management, Performance modules, Data integrity
Santa Clara, California, United States · On-site
$211k–$338k/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: FP&A, Financial Modeling, Scenario Planning, Strategic Business Partnering, Workforce Planning
Santa Clara, California, United States · On-site
$153k–$230k/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: People Management, Program Leadership, Operational Process Design, Data Governance, Lifecycle Management
Santa Clara, California, United States · On-site
$138k–$207k/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: Standard Costing, US GAAP, SOX Compliance, Inventory Valuation, Bill of Materials (BOM)
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: Software engineering, Production engineering, SRE, DevOps, Python
Santa Clara, California, United States · On-site
$217k–$326k/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: Technical Team Leadership, Linux Kernel Engineering, NVMe, NFS, RoCE
Santa Clara, California, United States · On-site
$205k–$308k/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: Project Management, SDLC, Cross-functional Coordination, Risk Management, Schedule Management
Santa Clara, California, United States · On-site
$184k–$288k/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: C++, Python, Linux, Git, Docker
Santa Clara, California, United States · On-site
$184k–$357k/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: Golang, Kubernetes, KubeVirt, CI/CD, DevOps
Santa Clara, California, United States · On-site
About Us: At Reevo, we're reimagining the entire revenue stack from the ground up, and we're doing it with speed. We're building software that orchestrates every go-to-market motion, enabling B2B teams to operate faster,…
Skills: Large language models, RAG systems, Software engineering, ML operations, Prompt engineering
Halo Industries, Inc.Santa Clara, California, United States · On-site
$110k–$125k/yr
Primary Function of Position: We are seeking a detail-oriented and analytical Equipment Engineer to manage and maintain Fab tools running multiple processes. In this role, you will be responsible for maintaining, optimiz…
Skills: Equipment maintenance, Troubleshooting, Semiconductor manufacturing, Root-cause analysis, Preventive maintenance
Santa Clara, California, United States · On-site
The Role We are looking for a Machine Learning Engineer to join our core team building scalable ML systems for real-world perception and embodied intelligence. In this role, you will work on end-to-end machine learning s…
Skills: Python, PyTorch, TensorFlow, Machine Learning, Deep Learning
Santa Clara, California, United States · On-site
About the Company We are a Silicon Valley-based AI robotics company building the next generation of Embodied AI infrastructure. Our platform provides high-quality, scalable robotics training data solutions that accelerat…
Skills: Business development, Enterprise sales, Customer acquisition, Solution selling, Relationship building
Santa Clara, California, United States · On-site
Technical Program Manager – Robotics AI Data Platform Location: Santa Clara, CA About the Company We are building the data infrastructure powering the next generation of Embodied AI and robotics foundation models. Our pl…
Skills: Technical program management, Robotics, AI data, Data infrastructure, Python
Santa Clara, California, United States · On-site
About Robotics Center: Technical Highlights Robotics Foundation Models - LLM/VLM co-design with in-house chips, efficient training and deployment. Manipulation – Data-driven end-to-end manipulation (e.g., VLA, World Mode…
Skills: Robotics, Machine Learning, Artificial Intelligence, LLM, VLM
Santa Clara, California, United States • On-site
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You will own the architecture, development, and roadmap of power estimation and analysis tools to guide product decisions. This involves building scalable software models, integrating silicon telemetry, and collaborating with cross-functional teams to drive architectural trade-offs.
Candidates must have a Master's degree in a STEM field and at least 6 years of relevant experience in SoC architecture or performance modeling. Strong proficiency in Python or C++ and experience with power-performance analysis tools are essential.
We are seeking a highly motivated power architect to own and advance a critical power estimation and analysis platform used to guide architecture and product decisions. This role sits at the intersection of software development, system architecture, performance modeling, and silicon analysis.
You will develop the tools and methodologies that help architects understand power-performance behavior, evaluate performance-per-watt trade-offs, model representative workloads, and correlate early estimates with silicon telemetry. The ideal candidate combines strong software engineering fundamentals with a deep curiosity about how modern SoCs consume power and deliver performance.
What you’ll be doing:
Own the architecture, development, validation, and long-term roadmap of our power estimation and analysis tools.
Develop scalable, maintainable software for estimating and analyzing power and performance across workloads, use cases, and product configurations.
Build models that translate architectural parameters, workload behavior, utilization, and telemetry into actionable power-performance insights.
Enable rapid analysis of architectural trade-offs, including performance, power, energy efficiency, thermals, and performance per watt.
Develop workload models and representative usage scenarios for early architecture exploration and product analysis.
Integrate silicon telemetry, performance counters, power measurements, and simulation data into a unified analysis framework.
Correlate pre-silicon estimates with post-silicon measurements, identify modeling gaps, and continuously improve prediction accuracy.
Create automation, visualization, and reporting capabilities that make complex analysis accessible to architects and engineering teams.
Partner with architecture, performance, power, thermal, firmware, validation, and silicon teams to define requirements and drive technical decisions.
Establish sound software-engineering practices, including modular design, code reviews, testing, documentation, version control, and release management.
Serve as the technical owner and subject-matter expert for the tool, supporting users while growing a community of contributors.
What we need to see:
A Masters in Computer Engineering, Electrical Engineering, Computer Science, or a related STEM field—or equivalent experience. 6 years of relevant work experience
Strong software development skills in Python, C++, or similar languages, with experience building production-quality engineering tools.
Understanding of computer or SoC architecture, including processors, memory systems, interconnects, accelerators, and power-management concepts.
Experience with power and performance estimation, performance modeling, architectural exploration, or system-level analysis.
Ability to evaluate architecture trade-offs using metrics such as performance per watt, energy per task, utilization, latency, throughput, and bandwidth.
Experience modeling workloads or analyzing how workload characteristics affect system power and performance.
Familiarity with silicon telemetry, performance-monitoring counters, power sensors, traces, logs, or lab measurement data.
Strong data-analysis and debugging skills, including the ability to correlate results from multiple sources and explain unexpected behavior.
Experience designing maintainable software with clear interfaces, automated testing, documentation, and reproducible workflows.
Demonstrated ability to take ownership of an ambiguous technical area and drive it from requirements through implementation and adoption. Excellent communication and collaboration skills, with the ability to translate complex technical findings into clear recommendations.
Ways to stand out from the crowd:
Experience developing power or performance models for complex SoCs, CPUs, GPUs, AI accelerators, or automotive platforms.
Knowledge of dynamic power management, DVFS, clock and power gating, thermal management, idle states, and workload-driven resource management.
Familiarity with statistical modeling, machine learning, optimization, or sensitivity analysis applied to power-performance prediction.
A track record of turning prototype scripts into reliable, widely adopted engineering platforms.
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 862 listings with disclosed salaries, most data & analytics jobs in Santa Clara, CA pay between $131k–$334k per year. Individual offers vary with seniority, company size, and specialization.
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