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Nvidia Engineering Jobs in Boston, MA (NOW HIRING)

Nvidia

Senior Formal Verification Engineer

Westford, MA · Hybrid

$141K/yr

NVIDIA is looking for Formal Verification Engineer to help verify the design and implementation of industry's leading Coherent interconnects and other High-PerformanceDesigns. As a Formal ...

Nvidia

EDA Workflow Optimization Engineer

Westford, MA · Hybrid

$115K - $136K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... our engineering teams worldwide. You will understand workflows covering the full chip design ...

Nvidia

Senior ASIC Timing Engineer

Westford, MA

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Great teammate * BS (or equivalent experience) in Electrical or Computer Engineering with 8 years ...

Nvidia

Physical Design Engineer

Westford, MA · On-site

$141K - $145K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Silicon engineering team, developing the industry's best high speed communication devices ...

Nvidia

Senior HPC and LSF Operations Engineer

Westford, MA · Hybrid

$108K - $148K/yr

Experience implementing reliability engineering practices within HPC scheduling environments * Deep ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

Nvidia Corporation

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 ...

Nvidia

Senior GPU Architect

Westford, MA

$134K - $182K/yr

The NVIDIA GPU Architecture group is looking for world class architects and software developers to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in ...

Nvidia

Senior Physical Design Engineer

Westford, MA

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Silicon engineering team, developing the industry's best high speed communication devices ...

Nvidia

Senior HPC and Quantum Systems Engineer

Westford, MA · Hybrid

$108K - $148K/yr

Hybrid Quantum-HPC Platform Engineering * Build, deploy, and operate a hybrid computing platform combining large-scale NVIDIA GPU clusters with physical quantum processors (neutral atom, trapped ion ...

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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 16, 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 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 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 most commonly searched types of Nvidia Engineering jobs in Boston, MA?

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

What are popular job titles related to Nvidia Engineering jobs in Boston, MA?

For Nvidia Engineering jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Nvidia Engineering jobs in Boston, MA look for?

The top searched job categories for Nvidia Engineering jobs in Boston, MA are:

Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in Boston, MA as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, 5% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $159,557 per year, or $76.7 per hour.

Senior Software Engineer, Infrastructure Automation and Distributed Systems

Nvidia

Westford, MA

$112K - $153K/yr

Full-time

Posted 15 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

We are seeking Systems Engineers and Software Engineers interested in building and running reliable large scale infrastructure platform services. In this organization, you will ensure that our internal and external facing EDA services atop of NVIDIA hardware are running as reliably as needed. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you.

What you'll be doing:

  • Design, build, deploy, and run infrastructure services & manage the software life cycle in scope to meet our business goals.

  • Participate in the definition of our internal facing service level objectives and error budgets as part of our overall observability strategy.

  • Eliminate toil or automate it where the ROI of building and maintaining automation is worth it.

  • Practice sustainable blameless incident prevention and incident response while being a member of an oncall rotation.

  • Consult with and provide consultation for peer teams on systems design best practices.

What we need to see:

  • BS degree in Computer Science or a related technical field involving coding (e.g., physics or mathematics) or equivalent experience.

  • 12+ years of relevant experience.

  • A track record showing a good balance between initiating your own projects, convincing others to collaborate with you and collaborating well on projects initiated by others.

  • Experience with infrastructure automation and distributed systems design developing tools for running large scale private or public cloud system in production.

  • Experience in one or more of the following: Python, Go, Perl or Ruby.

  • In depth knowledge in one or more of Linux, Networking, Storage, and Containers.

Ways to stand out from the crowd:

  • Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive. Experience accelerating positive impact to the business using coding assistant(s), MCP servers, or AI agents.

  • Experience working with or developing bare metal as a service (BMaaS) associated systems.

  • Experience working with or developing multi-cloud infrastructure services and running private or public cloud systems based on one or more of Kubernetes, OpenStack, Docker or Slurm.

  • Experience teaching reliability (e.g SRE) or more general cloud systems good practices to peers or to other companies (e.g CRE).

  • Background with NVIDIA Collective Communication Library (NCCL).

No prior experience having worked in a team of any particular name or having worked in a ML/AI focused team are required but also a nice to have.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 16, 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

Year founded

1993

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