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Manager Nvidia Robotics Jobs in Lowell, MA (NOW HIRING)

NVIDIA

Office Manager

Westford, MA · On-site

An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can ... At NVIDIA, we are seeking an organized, proactive, and service-focused Office Manager to lead ...

Nvidia

Office Manager

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 ...

Nvidia Corporation

Office Manager

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 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 · 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 HPC and Quantum Systems Engineer

Westford, MA · Hybrid

$108K - $148K/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 ...

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Manager Nvidia Robotics information

See Lowell, MA salary details

$22.8K

$60.8K

$101.7K

How much do manager nvidia robotics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for manager nvidia robotics in Lowell, MA is $60,846.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,600.00 and $68,400.00 per year, depending on experience, location, and employer.

What does a manager Nvidia Robotics do?

A Manager of Nvidia Robotics leads teams that develop, implement, and optimize robotics solutions using Nvidia's AI and GPU technologies. They oversee projects related to robotics hardware, software, and systems integration, ensuring products meet technical and business requirements. This role involves collaborating with engineers, researchers, and product managers to drive innovation and maintain project timelines. Additionally, the manager acts as a bridge between technical teams and upper management, helping to set strategic goals and allocate resources effectively.

What are the key skills and qualifications needed to thrive as a manager Nvidia Robotics?

To thrive as a Manager Nvidia Robotics, you need a solid background in robotics, computer science or engineering, combined with proven leadership experience and a relevant degree. Familiarity with NVIDIA’s robotics platforms (such as Isaac SDK), AI frameworks, and project management tools is typically required, along with certifications in project management or engineering disciplines. Strong communication, problem-solving, and team leadership skills help drive cross-functional collaboration and innovation. These capabilities are crucial for successfully guiding technical teams, delivering complex robotics solutions, and maintaining a competitive edge in a fast-evolving industry.

What are the typical challenges faced by a manager Nvidia Robotics, and how can new hires prepare for them?

Managers in Nvidia Robotics often encounter challenges related to overseeing multidisciplinary teams, integrating cutting-edge AI and hardware solutions, and managing fast-paced project cycles. New hires can prepare by developing strong project management skills, staying current with robotics and AI advancements, and fostering effective communication between hardware, software, and research teams. Being adaptable and proactive in problem-solving is crucial, as the field rapidly evolves and projects may shift priorities based on technological breakthroughs or business needs.

What is the difference between Manager Nvidia Robotics vs Robotics Engineer?

AspectManager Nvidia RoboticsRobotics Engineer
Required CredentialsBachelor's/Master's in Engineering, Management experienceBachelor's/Master's in Robotics, Mechanical, or Electrical Engineering
Work EnvironmentTeam leadership, project management, strategic planningDesign, develop, test robotic systems
Industry UsageOversees robotics projects in tech and manufacturingBuilds and codes robotic systems in R&D labs

The Manager Nvidia Robotics typically oversees robotics projects, requiring leadership and management skills, while Robotics Engineers focus on designing and developing robotic systems. Both roles are integral in the robotics industry but differ in responsibilities and daily tasks.

What are the most commonly searched types of Nvidia Robotics jobs in Lowell, MA?

The most popular types of Nvidia Robotics jobs in Lowell, MA are:

What job categories do people searching Manager Nvidia Robotics jobs in Lowell, MA look for?

The top searched job categories for Manager Nvidia Robotics jobs in Lowell, MA are:

What cities near Lowell, MA are hiring for Manager Nvidia Robotics jobs?

Cities near Lowell, MA with the most Manager Nvidia Robotics job openings:

Manager Nvidia Robotics jobs near you
Infographic showing various Manager Nvidia Robotics job openings in Lowell, MA as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $60,846 per year, or $29.3 per hour.

Sr. Robotics Middleware Engineer

ALTEN Technology USA

North Reading, MA

$135K - $170K/yr

Full-time

Posted 25 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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