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Nvidia Engineering Jobs in Boston, MA (NOW HIRING)

Senior Solution Engineer, Compute Systems

Westford, MA · On-site

$57.50 - $74/hr

The NVIDIA Experience (NVEX) Solutions Engineering team is looking for an experienced solution engineer focused on customer support of NVIDIA's GPU accelerated platforms including DGX, HGX and MGX!

Senior Developer Technology Engineer - AI

Westford, MA · Hybrid

$56.75 - $74.75/hr

... at NVIDIA. What we need to see: * A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or additional equivalent experience). * You have 8+ ...

NVIDIA is seeking best-in-class CPU Design Engineers to design the world's leading CPUs. This position offers you the opportunity to have a real impact in a dynamic, technology-focused company ...

Senior Solution Engineer, Networking

Westford, MA · On-site

$57.50 - $74/hr

The NVIDIA Enterprise Experience (NVEX) Solutions Engineering team is looking for a senior Computer or Software Engineer. This person will establish expertise in ground-breaking network technology ...

HPC Operations Engineer

Westford, MA · Hybrid

$72K - $97K/yr

As an HPC Operations Engineer at NVIDIA, you will play a pivotal role in ensuring the flawless operation of our high-performance computing (HPC) environment. This opportunity is outstanding as you ...

GPU Verification Engineer

Westford, MA · On-site

$141K/yr

NVIDIA is seeking best-in-class ASIC Verification Engineers to verify the world's leading GPUs. This position offers the opportunity to have real impact in a progressive, technology-focused company ...

Collaborate with internal engineering customers worldwide to envision new tools and define their requirementsbe doing, *who* they'll be working with, and *how* their work will fit into NVIDIA's work ...

Senior Fullstack Software Engineer

Westford, MA · Hybrid

$127K - $167K/yr

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled ... A love for engineering and passion for what you do * Experience with container technologies like ...

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Nvidia Engineering information

See Boston, MA salary details

$50.5K

$159.6K

$189K

How much do nvidia engineering jobs pay per year?

As of Aug 26, 2026, the average yearly pay for nvidia engineering in Boston, MA is $159,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,600.00 and $187,900.00 per year, depending on experience, location, and employer.

What is an Nvidia engineer?

An Nvidia Engineering job involves designing, developing, and optimizing hardware or software solutions in areas such as graphics processing, AI, and high-performance computing. Engineers at Nvidia work on cutting-edge technologies, including GPUs, deep learning frameworks, and system architecture. Roles vary from hardware design and verification to software development and AI research, depending on expertise. Strong skills in programming, computer architecture, and problem-solving are typically required.

What types of projects do Nvidia engineers typically work on, and how is teamwork structured within the engineering department?

Nvidia Engineers commonly engage in projects related to GPU development, AI and deep learning solutions, software driver optimization, and next-generation hardware innovation. Project teams are often multidisciplinary, bringing together software, hardware, and systems engineers to collaborate closely on end-to-end product development. Engineers frequently work in agile, fast-paced environments, attend regular team stand-ups, and participate in cross-functional meetings. This collaborative structure fosters creativity, accelerates problem-solving, and ensures high-quality product delivery while offering team members exposure to diverse technologies and career growth opportunities.

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

To thrive in Nvidia Engineering, candidates typically need strong proficiency in computer engineering, software development, and a solid understanding of hardware architecture, often backed by a relevant degree such as Electrical Engineering or Computer Science. Familiarity with tools like CUDA, C/C++, Python, and version control systems, as well as experience with GPU programming, are highly valued, and certifications such as Nvidia's Deep Learning Institute credentials can enhance a candidate's profile. Excellent problem-solving, team collaboration, and communication skills set top performers apart in this role. These skills and qualifications enable engineers to contribute effectively to complex, innovative projects that drive Nvidia's technological advancements.

What are the most commonly searched types of Nvidia Engineering jobs in Boston, MA?

The most popular types of Nvidia Engineering jobs in Boston, MA are:

Infographic showing various Nvidia Engineering job openings in Boston, MA as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $159,557 per year, or $76.7 per hour.

Senior Solution Engineer, Compute Systems

Westford, MA • On-site


Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer


$57.50 - $74/hr

Full-time

Re-posted 11 days ago


Job description

The NVIDIA Experience (NVEX) Solutions Engineering team is looking for an experienced solution engineer focused on customer support of NVIDIA's GPU accelerated platforms including DGX, HGX and MGX! You will apply the latest AI technologies to triage customer issues, identify solutions, and keep customers delighted. You must have excellent problem-solving abilities and communication skills and be able to contribute to multiple projects and tasks. You will be working directly with customers to get them solutions on the latest NVIDIA platforms including the GB200 and GB300. We are looking for an experienced engineer to triage customers' hardware platform issues and AI/ML workloads in huge datacenters of rack-scale platforms, solve customer problems, and contribute to products and software tooling. You must have excellent problem-solving abilities, communication skills and be able to work on multiple projects and tasks. You must be technically strong in Linux, have solid programming skills, and experience with multi-GPU platforms. Expertise analyzing performance of distributed GPU-accelerated workloads is a plus. AI is not optional here. It is foundational, applied thoughtfully for all solution engineering workflows including solving customer cases and developing software, both products and internal tools.

What you'll be doing:

  • Provide direct support to our NVIDIA Enterprise customers to resolve or advance customer issues.

  • Work with engineering teams on customer issues, providing logs, reproduction, and other triage information.

  • Apply AI to create/update products and/or support tools.

  • Take ownership and drive customer issues from inception to resolution.

  • Document customer interactions to better enhance our knowledge base.

  • Apply agentic AI skills to solving customer issues and software development

  • Occasional work on weekends and holidays to support customers

What we need to see:

  • Minimum of a BS in Computer Engineering, Electrical Engineering, or equivalent experience.

  • At least 10 years of engineering experience with multi-GPU platforms

  • Strong system software (firmware, BIOS, kernel, driver, operating system) expertise

  • Solid understanding of Linux and the ability to troubleshoot, optimize, and customize Linux environments for AI/ML workloads.

  • Containerized solutions experience with Docker, Kubernetes, and/or Slurm

  • Professional-level communication skills, including adjusting communication to the technical level of the audience, and staying calm and focused in negative situations.

  • Excellent follow-up and organizational skills, with a passion or love for solving problems.

  • Proficient in C/C++ programming of platform OS, firmware, BIOS, kernel, drivers

  • Proficient in Python programming with the ability to build custom tools

Ways to stand out from the crowd:

  • Background with parallel programming or GPU acceleration (e.g., CUDA)

  • Experience developing in GPU accelerated / cloud / virtualized environments

  • Experience analyzing software performance of distributed workloads

  • Clustering or HPC data center technologies including Upper Layer Protocols (i.e., NCCL, MPI)

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 21, 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.

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


What Nvidia employees say

Pay

Benefits

Hours and flexibility

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