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Nvidia Robotics Jobs in Massachusetts (NOW HIRING)

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 Physical Design Engineer

Westford, MA · On-site

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 · On-site

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 22, 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.

Humanoid Robotic Engineer

Hyphen Connect Limited

Boston, MA

Full-time

Re-posted 29 days ago

Job description

We are searching for a Humanoid Robotic Engineer specialized in bipedal locomotion and manipulation. This role involves designing and implementing sophisticated control algorithms, with a focus on Reinforcement Learning, to enhance the performance of robotic systems both in simulation and real-world applications.

Responsibilities:

  • Develop and implement advanced control algorithms for bipedal locomotion and manipulation.
  • Train Reinforcement Learning (RL) policies in simulation and deploy them on physical hardware.
  • Conduct sim-to-real transfer and analyze gait/kinematics telemetry.

Required Skills:

  • Strong background in Model Predictive Control (MPC) and Whole-Body Control.
  • Extensive experience with robotic simulation environments (e.g., NVIDIA Isaac Sim, MuJoCo).
  • Familiarity with modern RL frameworks.

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