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Nvidia Robotics Jobs in Massachusetts (NOW HIRING)

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 ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

Nvidia

Senior VLSI CAD Software Engineer

Westford, MA · On-site

$127K - $167K/yr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

Nvidia

Senior Solution Engineer, Networking

Westford, MA · On-site

$57.50 - $74/hr

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

Nvidia

Senior ASIC Timing Engineer

Westford, MA

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ...

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Nvidia Robotics information

See Massachusetts salary details

$91.7K

$104.8K

$127.2K

How much do nvidia robotics jobs pay per year?

As of Aug 18, 2026, the average yearly pay for nvidia robotics in Massachusetts is $104,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $111,400.00 per year, depending on experience, location, and employer.

What is an Nvidia Robotics job?

An Nvidia Robotics job involves working on cutting-edge robotics technology, including AI-powered perception, planning, and control systems. Engineers in this role develop software and hardware solutions for autonomous machines, leveraging NVIDIA's GPUs, AI frameworks, and simulation tools. These jobs often involve contributing to platforms like Isaac Sim and Jetson to accelerate robotics research and deployment across industries such as manufacturing, logistics, and healthcare.

What are the typical responsibilities of a robotics engineer at Nvidia?

Robotics engineers at Nvidia are often involved in designing, developing, and testing advanced robotics solutions that leverage the company's cutting-edge AI and GPU technologies. On a daily basis, they may work on software algorithms, integrate sensor and perception systems, and optimize robotic hardware performance. Collaboration is a key part of the role, as engineers frequently interact with colleagues in software development, research, hardware engineering, and product management to bring new robotics platforms to market. Team members also participate in regular cross-functional meetings to align project goals and ensure seamless integration of robotics technologies across products.

What are the key skills and qualifications needed for a robotics position at Nvidia?

To excel in Nvidia Robotics, candidates typically need a strong background in robotics engineering, computer vision, machine learning, and software development, often supported by a relevant degree in computer science, engineering, or a related field. Experience with programming languages such as Python and C++, familiarity with ROS (Robot Operating System), and certifications in AI or robotics platforms are highly valued. Strong problem-solving abilities, teamwork, and adaptability help professionals address complex technical challenges and collaborate effectively. These skills are crucial for developing, optimizing, and deploying advanced robotic systems that meet Nvidia's innovative standards.

Does Nvidia Robotics have a robotics department?

Nvidia Robotics is a division within Nvidia focused on developing robotics solutions, including AI, sensors, and autonomous systems. The division employs engineers and researchers specializing in robotics, computer vision, and AI technologies to advance robotics applications. Job seekers interested in Nvidia Robotics should have skills in software development, AI, and robotics hardware integration.

How much do Nvidia Robotics engineers make?

Nvidia Robotics engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and specific role. Senior engineers or those with specialized skills in AI, machine learning, or robotics may earn higher salaries. Compensation often includes benefits such as stock options and bonuses.

What are the most commonly searched types of Nvidia Robotics jobs in Massachusetts?

The most popular types of Nvidia Robotics jobs in Massachusetts are:

What are popular job titles related to Nvidia Robotics jobs in Massachusetts?

For Nvidia Robotics jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Nvidia Robotics jobs in Massachusetts look for?

The top searched job categories for Nvidia Robotics jobs in Massachusetts are:

Nvidia Robotics jobs near you
Infographic showing various Nvidia Robotics job openings in Massachusetts as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $104,843 per year, or $50.4 per hour.

Senior Solution Engineer, Compute Systems

Nvidia

Westford, MA

$57.50 - $74/hr

Full-time

Re-posted 4 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 245 rated software companies

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.

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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