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Assistant Nvidia Mechanical Engineer Jobs (NOW HIRING)

Nvidia

Senior Solutions Architect - AI Infrastructure

OR · On-site +1

Perform hands-on work to assist NVIDIA Cloud Partners debugging issues relating to cluster design, configuration, and performance employing internal engineering expertise and known bugs. Support NPI ...

PSR Mechanical LLC

Mechanical Engineer

Seattle, WA · On-site

The Mechanical Engineer role is to assist to help create effective HVAC and energy solutions for our clients. Mechanical Engineers provide support to our Sales, Projects and Operations departments.

PSR Mechanical LLC

Mechanical Engineer

Seattle, WA · On-site

$80K - $90K/yr

The Mechanical Engineer role is to assist to help create effective HVAC and energy solutions for our clients. Mechanical Engineers provide support to our Sales, Projects and Operations departments.

Machina Labs

$150 - $200/hr

With support from the venture arms of Toyota, NVIDIA, and Lockheed Martin, we're accelerating the ... The Senior Mechanical Engineer will serve as both individual contributor and technical lead ...

MTech Mechanical

Mechanical Engineer

Westminster, CO · On-site

$100K - $125K/yr

Mechanical Engineer FLSA Status: Exempt Department: Engineering Date: 2026 Reports to: Engineering ... build/assist arrangement. Projects are very technical, and include labs, cleanrooms, office ...

MTech Mechanical

Mechanical Engineer

Westminster, CO · On-site

$100 - $125/hr

Mechanical Engineer FLSA Status: Exempt Reports to: Engineering Manager Location: Westminster, CO ... build/assist arrangement. Projects are very technical, and include labs, cleanrooms, office ...

LXC ENGINEERING GROUP

Mechanical Engineer

Saugus, MA · On-site

$75K - $120K/yr

The Mechanical Engineer will perform engineering calculations and prepare detailed mechanical ... Organize in-house resources. -Train and mentor junior staff. -Assist with marketing/proposal ...

LXC ENGINEERING GROUP

Mechanical Engineer

Saugus, MA · On-site

$75K - $120K/yr

The Mechanical Engineer will perform engineering calculations and prepare detailed mechanical ... Organize in-house resources. -Train and mentor junior staff. -Assist with marketing/proposal ...

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Assistant Nvidia Mechanical Engineer information

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$33K

$88.8K

$134.5K

How much do assistant nvidia mechanical engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for assistant nvidia mechanical engineer in the United States is $88,754.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $104,500.00 per year, depending on experience, location, and employer.

What does an Assistant Nvidia Mechanical Engineer do?

An Assistant Nvidia Mechanical Engineer supports senior engineers in the design, development, and testing of mechanical components for Nvidia's hardware products, such as graphics cards and AI computing systems. Typical tasks include creating CAD models, assisting with prototype assembly, performing thermal and structural analysis, and collaborating with cross-functional teams to solve engineering challenges. This role also often involves documentation, quality checks, and troubleshooting issues during the product development lifecycle. The assistant position provides valuable hands-on experience in mechanical engineering within a leading technology company.

What are some typical responsibilities an Assistant Nvidia Mechanical Engineer can expect to handle on a daily basis?

As an Assistant Nvidia Mechanical Engineer, you will typically support senior engineers in designing, testing, and refining mechanical components for GPUs and other hardware. Daily tasks often include creating CAD models, performing thermal and structural analyses, and assisting with prototype assembly and testing. You may also help troubleshoot issues during the development process and collaborate closely with electrical engineers, industrial designers, and manufacturing teams to ensure product reliability and performance. This hands-on role provides valuable exposure to advanced technologies and cross-functional teamwork in a fast-paced, innovative environment.

What are the key skills and qualifications needed to thrive as an Assistant Nvidia Mechanical Engineer, and why are they important?

To thrive as an Assistant Nvidia Mechanical Engineer, you need a solid understanding of mechanical engineering principles, CAD modeling, and materials science, typically supported by a bachelor’s degree in mechanical engineering or a related field. Experience with tools such as SolidWorks, AutoCAD, and simulation software, as well as familiarity with product lifecycle management (PLM) systems, is highly valued. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills help you stand out in this role. These skills and qualities are crucial for ensuring precision in design, efficient collaboration, and the successful development of innovative hardware solutions.

What is the difference between Assistant Nvidia Mechanical Engineer vs Mechanical Engineer?

AspectAssistant Nvidia Mechanical EngineerMechanical Engineer
Required CredentialsBachelor's in Mechanical Engineering or related field; some roles may require internship experienceBachelor's or higher in Mechanical Engineering; professional licensure optional
Work EnvironmentResearch and development labs, manufacturing facilities, collaborative team settingsDesign offices, manufacturing plants, project sites
Employer & Industry UsagePrimarily in tech companies like Nvidia, focusing on hardware design and product developmentBroad industry use including automotive, aerospace, manufacturing, and tech sectors

The Assistant Nvidia Mechanical Engineer typically supports hardware design and testing within Nvidia's tech environment, often requiring less experience. In contrast, Mechanical Engineers have broader responsibilities in design, analysis, and project management across various industries. Both roles require a strong engineering background, but the Assistant role is more entry-level and specialized within Nvidia's tech focus.

What cities are hiring for Assistant Nvidia Mechanical Engineer jobs?

Cities with the most Assistant Nvidia Mechanical Engineer job openings:

What are the most commonly searched types of Nvidia Mechanical Engineer jobs?

The most popular types of Nvidia Mechanical Engineer jobs are:

What states have the most Assistant Nvidia Mechanical Engineer jobs?

States with the most job openings for Assistant Nvidia Mechanical Engineer jobs include:

Assistant Nvidia Mechanical Engineer jobs near you

Senior Solutions Architect - AI Infrastructure

Nvidia

New York, NY • On-site, Remote

Full-time

Re-posted 7 days ago

Key responsibilities

  • Assist with designs and architectures for GPU-based clusters, including performance modeling, validation, and deployment.

  • Guide NVIDIA Cloud Partners in cluster design, networking, and ensuring successful first deployments of new products.

  • Debug issues related to cluster design, configuration, and performance, providing hands-on support to partners.

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

NVIDIA is building the world's most groundbreaking and innovative accelerated computing platforms for AI and HPC. Because of our work, scientists, researchers, and engineers can push the boundaries of what's possible. We pioneered a supercharged form of computing that powers everything from breakthrough AI research to the world's fastest supercomputers.

We are seeking a highly motivated Senior Solutions Architect to join the NVIDIA Cloud Partners team with a focus on GPU, NVLink, and infrastructure design.In this role, you will be at the forefront of assisting with designs and architectures for some for the largest next-generation GPU-based clusters enabling the world's most advanced AI supercomputers and enterprise AI infrastructure in the field. As a Solutions Architect, you will serve as a key technical expert bridging NVIDIA's ground breaking GPU and NVLink technology designs as well as all of our software solutions directly between engineering and field teams supporting customers with the most demanding requirements. You will work on end-to-end cluster design and architecture, performance modeling, validation, and NPI cluster deployments. Your expertise will directly influence how the world's leading AI companies, cloud providers, hyperscalers, research institutions, and enterprises build their infrastructure.

What you'll be doing:

  • Partner with NVIDIA Cloud Partners in GPU cluster design and networking and convey architecture and optimal process information for building next-generation architectures.

  • Guide NVIDIA Cloud Partners in cluster design, weighing design principles but also complex, situational limitations to make the most performant and supportable GPU clusters possible.

  • Work closely with NVIDIA Cloud Partners to ensure successful first deployments with new products, including new network architectures and topologies.

  • Feedback customer/field perspectives on cluster design and workflows back to engineering teams designing internal clusters.

  • Perform hands-on work to assist NVIDIA Cloud Partners debugging issues relating to cluster design, configuration, and performance employing internal engineering expertise and known bugs.

  • Support NPI customer deployments with new GPU/Networking architectures.

What we need to see:

  • BS, MS, or PhD in Computer Science, Electrical Engineering, Computer Engineering, Physics, or related field (or equivalent experience).

  • 8+ years of experience in cluster design, validation, and issue resolution, specifically on GPU and HPC clusters.

  • Proven expertise in designing large-scale distributed systems, AI clusters, or HPC infrastructure.

  • Ability to translate sophisticated engineering concepts into customer-ready documentation, diagrams, and reference material.

  • Expertise in driving customer/partner issues to a close with product and engineering teams.

  • Ability to handle multi-functional communications across customer, product team, support team, engineering team, etc.

Ways to stand out from the crowd:

  • Experience leading large-scale AI Factory or HPC cluster bring-ups or builds.

  • Hands-on experience with NVIDIA products including, but not limited to, GPUs, NVLink, NVIDIA Networking, etc.; specifically debugging issues that occur during deployment on NVLink, etc.

  • Knowledge of NCCL, MPI, IMEX, NMX, and collectives in distributed training as it pertains to cluster designs.

  • External customer facing skill-set and background.

  • Effective time management and capability to balance multiple tasks and customers while thinking creatively to debug and solve problems.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 9, 2026.

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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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