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Nvidia Research Jobs in Boston, MA (NOW HIRING)

Nvidia

Senior Developer Technology Engineer - AI

Westford, MA · Hybrid

$56.75 - $74.75/hr

Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA. What ...

Nvidia

Senior Developer Technology Engineer - AI

Westford, MA · Hybrid

$56.75 - $74.75/hr

Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA. What ...

Nvidia

Senior Architect, NVLink

Westford, MA · On-site

NVIDIA is seeking an experienced technical leader passionate about defining advanced chip ... Researching and crafting architecture solutions for chip-to-chip communication, optimizing for ...

Nvidia

Senior Architect, NVLink

Westford, MA · On-site

NVIDIA is seeking an experienced technical leader passionate about defining advanced chip ... Researching and crafting architecture solutions for chip-to-chip communication, optimizing for ...

Nvidia

Senior GPU Architect

Westford, MA · On-site

$134K - $182K/yr

The NVIDIA GPU Architecture group is looking for world class architects and software developers to ... You would interact with other world-class architects and researchers to build simulators and ...

Nvidia

Senior GPU Architect

Westford, MA · On-site

$134K - $182K/yr

The NVIDIA GPU Architecture group is looking for world class architects and software developers to ... You would interact with other world-class architects and researchers to build simulators and ...

Nvidia

Senior HPC and Quantum Systems Engineer

Westford, MA · Hybrid

$108K - $148K/yr

Experience working with NVIDIA tools and frameworks. Experience bridging experimental research teams and production infrastructure. This position plays a central role in bridging quantum research and ...

Nvidia

Senior HPC and Quantum Systems Engineer

Westford, MA · Hybrid

$108K - $148K/yr

Experience working with NVIDIA tools and frameworks. * Experience bridging experimental research teams and production infrastructure. This position plays a central role in bridging quantum research ...

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Nvidia Research information

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How much do nvidia research jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for nvidia research in Boston, MA is $42.17, according to ZipRecruiter salary data. Most workers in this role earn between $22.65 and $57.39 per hour, depending on experience, location, and employer.

What is an Nvidia Research?

An Nvidia Research job involves conducting cutting-edge research in areas like artificial intelligence, computer graphics, and high-performance computing. Researchers work on innovative projects that push the boundaries of technology, often collaborating with academia and industry partners. These roles typically require expertise in machine learning, deep learning, hardware acceleration, or related fields. Team members publish papers, develop prototypes, and contribute to Nvidia's long-term technological advancements.

What are the key skills and qualifications needed to thrive in Nvidia Research?

Excelling in Nvidia Research typically requires a PhD or advanced degree in computer science, electrical engineering, or a related field, with strong expertise in machine learning, computer vision, and deep learning algorithms. Familiarity with programming languages such as Python and C++, and experience using frameworks like TensorFlow or PyTorch, as well as CUDA for GPU computing, are also important. Excellent problem-solving abilities, creativity, and effective collaboration and communication skills help set candidates apart. These skills are crucial for conducting innovative research, collaborating with multidisciplinary teams, and advancing the field of AI and graphics technology.

What opportunities for career growth and advancement are available within Nvidia Research?

Nvidia Research offers a dynamic environment where researchers can grow by taking on increasingly complex projects, publishing groundbreaking work, and collaborating with world-class experts. Many team members advance to senior and principal researcher roles or transition into leadership positions overseeing multi-disciplinary research initiatives. Nvidia also encourages continuous learning through conferences, workshops, and internal seminars, which further support professional development. As the company continues to expand its research footprint, there are ample opportunities to shape new areas of innovation and make a lasting impact on both the organization and the industry.

Does Nvidia Research do research?

Nvidia Research is a division within Nvidia that focuses on conducting advanced research in areas such as artificial intelligence, computer graphics, and deep learning. Researchers in this division work on developing new technologies, algorithms, and tools to advance Nvidia's products and industry standards.

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

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

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

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Nvidia Research jobs near you
Infographic showing various Nvidia Research job openings in Boston, MA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $87,707 per year, or $42.2 per hour.

Research Scientist, ML Systems - PhD New College Grad 2026

Nvidia

Westford, MA • On-site

Full-time

Re-posted 20 days ago

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

Today, NVIDIA is 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.

As an NVIDIAN, you'll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world. We are now looking for a Research Scientist New Graduate with a focus on Machine Learning Systems (MLSys).

NVIDIA Research is seeking exceptional systems researchers to contribute to the development of hardware, software, and infrastructure technology for ML systems of all scales. Advances in AI/ML heavily rely on the development of efficient, scalable, resilient, and trustworthy systems for training, fine-tuning, and serving ML models. AI/ML applications are also pushing the limits of both personal devices and warehouse-scale data centers.

All layers of AI systems need to be co-designed and co-optimized to maximize performance and energy efficiency, improve scalability, and support emerging algorithms in this space. We are seeking candidates that have a proven track record of research excellence, a broad perspective on systems design across the full hardware/software/infrastructure stack, and depth in one of the layers such as AI/ML systems, operating systems, distributed systems, data management, cloud computing, and computer architecture. What you'll be doing: Understand and analyze the efficiency, scaling, and resilience challenges in ML systems, algorithms, and applications.

Develop creative systems solutions (hardware, software, infrastructure) for future ML systems of all scales. Contribute to the co-design of next-generation AI/ML algorithms and systems. Collaborate with a diverse set of research and product teams across the company, spanning software, hardware, AI, and networking.

Publish original research and speak at conferences and events. What we need to see: Recent graduate with a Ph.D. in CS/CE/EE with a strong background in operating systems, distributed systems, inference and training systems, data management systems, networking, cloud computing, and/or computer architecture (or equivalent experience)

A strong publication, patent, and research collaboration history is a huge advantage. Demonstrated expertise in one specific area with the ability to become the go-to resource within a team having varied backgrounds. Background with experimental research and development.

Experience with C, C++, Python, and/or scripting languages. Experience with using AI tools for analysis, design, and code development. NVIDIA is widely considered to be one of the technology world's most desirable employers.

We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you. 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 - 264,500 USD. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 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.

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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