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Nvidia Robotics Jobs in Massachusetts (NOW HIRING)

Nvidia

Senior VLSI CAD Software Engineer

Westford, MA

$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 VLSI CAD Software Engineer

Westford, MA

$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 ...

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All JobsNvidia Robotics JobsNvidia Robotics Jobs in Massachusetts

Nvidia Robotics information

See Massachusetts salary details

$91.7K

$104.8K

$127.2K

How much do nvidia robotics jobs pay per year?

As of Sep 6, 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 95% Full Time, and 5% Contract. Highlights an 96% In-person, and 4% Hybrid job distribution, with an average salary of $104,843 per year, or $50.4 per hour.

Sr. Robotics Middleware Engineer

ALTEN Technology USA

North Reading, MA

$135K - $170K/yr

Full-time

Re-posted 10 days ago

Job description

As a Sr. Robotics Middleware Engineer you will be responsible for;

We are seeking a Senior Robotics Middleware Engineer to evaluate, prototype, and optimize next-generation communication middleware for advanced robotic systems. This role will focus on assessing emerging robotics transport technologies, including Zenoh, and improving high-throughput, low-latency messaging architectures on NVIDIA Jetson-class embedded platforms. The ideal candidate will bring deep expertise in ROS 2 middleware, DDS internals, shared-memory communication, and performance optimization for embedded Linux environments.

  • Lead a comprehensive build-versus-adopt evaluation of Zenoh as a robotics communication transport, including:

    • Standalone deployment models
    • Integration as an RMW (ROS Middleware) layer within ROS 2
    • Technical recommendations supported by quantitative benchmarking and analysis

  • Design, implement, and optimize zero-copy and shared-memory messaging architectures to maximize communication performance on NVIDIA Jetson platforms.

  • Analyze and improve messaging pipelines through:

    • Memory layout optimization
    • Serialization efficiency enhancements
    • Transport-layer tuning
    • Resource utilization optimization

  • Develop and execute benchmarking frameworks to measure:

    • End-to-end latency
    • Throughput
    • CPU utilization
    • GPU overhead
    • Overall system performance versus existing communication architectures

  • Collaborate with robotics, software, and systems engineering teams to identify and implement scalable middleware solutions for production robotic applications.

  • Document findings, benchmark results, architectural recommendations, and implementation best practices.

Qualifications;

  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related technical field, or equivalent practical experience.

Deep hands-on experience with:

  • ROS 2 middleware architecture
  • RMW implementations
  • DDS internals and transport mechanisms

Experience with Zenoh or comparable publish/subscribe communication frameworks, including:

  • eCAL
  • iceoryx
  • Cyclone DDS
  • Fast DDS
  • Strong proficiency in modern C++ development.

Extensive knowledge of:

  • Shared-memory inter-process communication (IPC)
  • Zero-copy messaging techniques
  • High-performance distributed systems
  • Experience profiling and optimizing software performance on embedded Linux and ARM-based platforms.
  • Strong analytical and benchmarking skills with a data-driven approach to architectural decision-making.

Preferred Qualifications;

  • Experience developing and optimizing applications on NVIDIA Jetson platforms.
  • Understanding of GPU/CUDA memory management and GPU-aware communication strategies.
  • Experience with real-time operating systems and low-latency robotics applications.
  • Background in autonomous systems, robotics platforms, or edge computing environments.

Salary Range: $135K-$170K

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience.

Note: This is an ON-SITE position. The individual can sit either in North Reading, MA or Woburn, MA.

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