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Foundry Technology Nvidia Jobs (NOW HIRING)

Unit8 SA

Deployment Strategist (USA)

New York, NY · On-site

$132K - $171K/yr

Unit8, founded in 2017, is a high-tech, dynamic Swiss leader in AI and data analytics consulting ... Our esteemed partnerships with industry giants like Palantir , NVIDIA , and OpenAI underscore our ...

Unit8 SA

Deployment Strategist (USA)

Boston, MA · On-site +1

$132K - $170K/yr

Unit8, founded in 2017, is a high-tech, dynamic Swiss leader in AI and data analytics consulting ... Our esteemed partnerships with industry giants like Palantir , NVIDIA , and OpenAI underscore our ...

Unit8 SA

Deployment Strategist (USA)

Boston, MA

$132K - $170K/yr

Unit8, founded in 2017, is a high-tech, dynamic Swiss leader in AI and data analytics consulting ... Our esteemed partnerships with industry giants like Palantir , NVIDIA , and OpenAI underscore our ...

Unit8 SA

Deployment Strategist (USA)

New York, NY · Remote

$124K - $160K/yr

Unit8, founded in 2017, is a high-tech, dynamic Swiss leader in AI and data analytics consulting ... Our esteemed partnerships with industry giants like Palantir , NVIDIA , and OpenAI underscore our ...

Unit8 SA

Deployment Strategist (USA)

Denver, CO · On-site

$125K - $161K/yr

Unit8, founded in 2017, is a high-tech, dynamic Swiss leader in AI and data analytics consulting ... Our esteemed partnerships with industry giants like Palantir , NVIDIA , and OpenAI underscore our ...

Unit8 SA

Deployment Strategist (USA)

Denver, CO · Remote

$124K - $160K/yr

Unit8, founded in 2017, is a high-tech, dynamic Swiss leader in AI and data analytics consulting ... Our esteemed partnerships with industry giants like Palantir , NVIDIA , and OpenAI underscore our ...

Unit8 SA

Deployment Strategist (USA)

Austin, TX · Remote

$124K - $160K/yr

Unit8, founded in 2017, is a high-tech, dynamic Swiss leader in AI and data analytics consulting ... Our esteemed partnerships with industry giants like Palantir , NVIDIA , and OpenAI underscore our ...

Unit8 SA

Deployment Strategist (USA)

Austin, TX · On-site

$120K - $155K/yr

Unit8, founded in 2017, is a high-tech, dynamic Swiss leader in AI and data analytics consulting ... Our esteemed partnerships with industry giants like Palantir , NVIDIA , and OpenAI underscore our ...

Unit8 SA

Deployment Strategist (USA)

Boston, MA · Remote

$124K - $160K/yr

Unit8, founded in 2017, is a high-tech, dynamic Swiss leader in AI and data analytics consulting ... Our esteemed partnerships with industry giants like Palantir , NVIDIA , and OpenAI underscore our ...

Centific

Principal AI Architect

About Centific Centific is a frontier AI data foundry that curates diverse, high-quality data ... Maintain trusted relationships with technology partners including NVIDIA, cloud providers, and ...

FlexAI

Director, Sales

Santa Clara, CA · On-site

$150K - $200K/yr

Founded by Brijesh Tripathi, who brings experience from Nvidia, Apple, Tesla, Intel and Zoox ... CSP / NeoCloud / AI Factory players - white-label Cloud Foundry offerings * Enterprise AI teams You ...

Equinix

Senior AI DevOps Engineer

Redwood City, CA · On-site

$159K - $204K/yr

... technologies • Provide technical support for new product initiatives through participation beta ... NVIDIA RunAI/MissionControl • Advanced Hands-On experience leveraging Vector/Graph DB, Delta ...

Equinix

Senior AI DevOps Engineer

Chicago, IL · On-site

$134K - $172K/yr

... technologies • Provide technical support for new product initiatives through participation beta ... NVIDIA RunAI/MissionControl • Advanced Hands-On experience leveraging Vector/Graph DB, Delta ...

Genesis10

Senior AI Engineer

Camas, WA · On-site

$115K - $150K/yr

Azure Foundry, Kubernetes, Docker, vector databases, GPU clusters, and AI model governance ... GPU-accelerated training and inference using NVIDIA technologies, including NIM and NeMo frameworks

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Foundry Technology Nvidia information

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How much do foundry technology nvidia jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for foundry technology nvidia in the United States is $32.05, according to ZipRecruiter salary data. Most workers in this role earn between $23.80 and $32.45 per hour, depending on experience, location, and employer.

What is Foundry Technology at Nvidia?

Foundry Technology at Nvidia refers to the processes and partnerships involved in manufacturing Nvidia's semiconductor chips. Nvidia designs its chips, but relies on external foundries, such as TSMC and Samsung, to fabricate them using advanced manufacturing technologies. Foundry Technology encompasses the collaboration, process node selection, and technology development needed to produce high-performance GPUs and other components. This work ensures Nvidia's products remain cutting-edge and competitive in the fast-moving semiconductor industry.

What are some common challenges faced by professionals working in Foundry Technology at Nvidia?

Professionals in Foundry Technology at Nvidia often navigate the complexities of collaborating with external semiconductor foundries to ensure that advanced chip designs are manufactured to precise specifications. Challenges can include managing tight production timelines, addressing yield and quality issues, and maintaining clear communication between Nvidia's internal engineering teams and external foundry partners. The fast-paced nature of the semiconductor industry also requires adaptability to evolving technologies and problem-solving skills to quickly resolve manufacturing bottlenecks. Successfully overcoming these challenges often leads to greater responsibility and opportunities for career advancement within Nvidia's technical and leadership tracks.

What are the key skills and qualifications needed to thrive as a Foundry Technology Engineer at Nvidia, and why are they important?

To thrive as a Foundry Technology Engineer at Nvidia, you need a solid background in materials science, semiconductor device physics, and process integration, typically with a degree in electrical engineering or a related field. Familiarity with EDA tools, process simulation software, and knowledge of industry-standard fabrication methods are essential, along with relevant certifications or experience in semiconductor manufacturing. Strong problem-solving skills, attention to detail, and effective cross-functional communication set top performers apart in this role. These skills ensure precise and innovative development of advanced semiconductor technologies, critical for Nvidia's competitive edge and product quality.
Infographic showing various Foundry Technology Nvidia job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $66,659 per year, or $32 per hour.
Distinguished Engineer, Power Architecture

Distinguished Engineer, Power Architecture

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 23 days ago

Job description

Join NVIDIA's Applied Power Architecture team and help define the perf/watt standards of our innovative silicon and systems across many domains. As a Distinguished Engineer, Power Architecture, you'll develop the long-term technical strategy for power architecture. This includes datacenter GPUs, GeForce and client products, automotive (DRIVE), robotics (Jetson, Isaac), and the broader edge-AI portfolio. This role suits a recognized expert who has personally crafted the power architecture of multiple successful silicon generations and is ready to lead the next decade of perf/watt advancement at NVIDIA. This is your chance to join a company that continually expands the possibilities of technology and innovation!
What you'll be doing:
  • Set multi-generation, cross-portfolio power strategy.
  • Own perf/watt across server-, client-, and edge-class platforms.
  • Drive performance-versus-power analysis that influences major silicon trade-offs and product roadmap decisions.
  • Lead silicon and vendor/IP co-architecture.
  • Define new technology frontiers.
  • Architect thermal and system-level power management end-to-end.
  • Drive ML- and workload-aware modeling and post-silicon optimization.
  • Influence across the company and the industry.
  • Develop the next generation of technical leaders.
  • Generate sustained IP and intellectual contribution.

What we need to see:
  • MSEE, MSCE, or PhD or equivalent experience demonstrating significant impact in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
  • 18+ years of relevant industry and/or academic experience.
  • Demonstrated ownership of power architecture across several successful silicon generations-server-class, client/mobile-class, or thermally-constrained SoC platforms. Took personal responsibility for decisions that significantly developed product outcomes.
  • Deep, applied expertise in the full stack of low-power and energy-efficient design techniques.
  • Authoritative understanding of modern GPU, CPU, and accelerator architectures; high-speed interconnects (NVLink, PCIe, Ethernet, optical, automotive networks); memory subsystems (HBM, LPDDR, on-die SRAM); and the system, OS, runtime, firmware, and workload layers that determine real-world perf/watt.
  • Proven history of developing and implementing power and performance modeling methods, important metrics, and tools widely used across the engineering organization. This includes projections before silicon creation and detailed validation after silicon production.
  • Demonstrated experience defining requirements with - and architecting power solutions across - internal silicon teams and external silicon, IP, foundry, or packaging partners.

Ways to stand out from the crowd:
  • Own the architecture for power and thermal development in a leading GPU, AI accelerator, mobile SoC, automotive SoC, robotics SoC, or large-scale server SoC with significant shipment volume.
  • Experience driving model-to-hardware co-optimization for perception, ML, or graphics workloads on power- and thermally-constrained platforms.
  • Background co-designing silicon with platform-level power delivery and cooling. This ranges from rack- and row-scale liquid or immersion cooling at the datacenter end. It also includes passively cooled and battery-constrained envelopes at the edge.
  • Published research or production work applying ML to power/performance modeling, workload characterization, or DVFS/AVFS strategies at scale.
  • Deep roots in RTL, microarchitecture, or backend implementation that allow you to operate fluently from architectural intent down to build realization with history of mentoring engineers into Principal- and Distinguished-level roles, and of building durable technical communities in power, performance, or architecture.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 320,000 USD - 488,750 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 18, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

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 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.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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