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Teleoperation Jobs in Massachusetts (NOW HIRING)

Boston Dynamics

Teleoperations Research Engineer, Atlas

Waltham, MA · On-site

$150K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Teleoperation Research Scientist, you will design and implement cutting-edge teleoperation and human-robot interaction systems that enable humanoid robots to execute complex, coordinated tasks ...

Hyphen Connect Limited

Robotic Engineer

Boston, MA · On-site

Develop cloud dashboards for fleet monitoring and teleoperation handoffs. Required Skills: * Expertise in distributed systems and IoT protocols (MQTT, WebRTC, DDS). * Experience with fleet management ...

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Teleoperation information

What is a teleoperation?

A teleoperation job involves remotely controlling machines, robots, or vehicles in real-time using specialized software and hardware. Operators typically work with autonomous or semi-autonomous systems to ensure they perform tasks accurately and safely. These roles are common in industries like autonomous vehicles, robotics, and industrial automation. Strong technical skills, attention to detail, and the ability to react quickly to changing situations are essential for success in this field.

What are the typical daily responsibilities of someone working in teleoperation?

A teleoperation professional is primarily responsible for remotely operating vehicles, machinery, or robotic equipment, often monitoring system dashboards and responding to live feedback in real time. Daily tasks may include troubleshooting technical issues, coordinating with on-site teams, following strict safety protocols, and maintaining detailed operational logs. Many positions involve shift work to provide around-the-clock support, especially in sectors such as logistics, mining, or transportation. Collaboration with engineers, maintenance crews, and supervisors is also common to ensure optimal performance and rapid issue resolution. This dynamic environment requires keen attention to detail and the ability to respond calmly to unexpected challenges.

What are the key skills and qualifications needed to thrive in teleoperation, and why are they important?

To thrive in Teleoperation, you need excellent spatial awareness, hand-eye coordination, and proficiency in operating remote-control systems, often supported by relevant technical training or certifications. Familiarity with teleoperation platforms, robotics interfaces, and communication software is typically required. Strong problem-solving skills, attention to detail, and effective communication help operators adapt to dynamic situations and collaborate with remote teams. These abilities are essential to ensure safe, precise, and reliable remote operation across various industries such as robotics, transportation, and logistics.

What are popular job titles related to Teleoperation jobs in Massachusetts?

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

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

The top searched job categories for Teleoperation jobs in Massachusetts are:

What cities in Massachusetts are hiring for Teleoperation jobs?

Cities in Massachusetts with the most Teleoperation job openings:

Teleoperation jobs near you
Infographic showing various Teleoperation job openings in Massachusetts as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Robotics Consultant - Whole-Body Teleoperation & Control

Integrated Computer Solutions, Inc.

Wilmington, MA

Contractor

Posted 18 days ago

Job description

Position Type: 6-Month Consulting Contract

Location: Wilmington, MA

  • Location/Eligibility: This is a contract position based in Massachusetts.  You must be able to commute to the Wilmington area onsite at least 3 days a week.  For this contract, there is no visa sponsorship available.  

The Mission

We are seeking an expert Robotics Consultant for a 6-month engagement to pioneer our Whole-Body Teleoperation framework. Working alongside our core autonomy team, you will bridge the gap between human intent and high-DOF robotic execution. You will be responsible for designing advanced whole-body controllers, developing robust manipulation pipelines, and setting up the simulation-to-real (Sim2Real) infrastructure required to bring a humanoid or high-DOF robot to life.

Core Responsibilities

  • Teleoperation Architecture: Design and implement intuitive, low-latency whole-body teleoperation pipelines for high-DOF robotic systems.

  • Whole-Body Control (WBC): Develop and optimize multi-objective whole-body controllers that balance manipulation accuracy, balance, and dynamic stability.

  • Sim2Real & Reinforcement Learning: Stand up and refine reinforcement learning (RL) pipelines in physics-based simulators, ensuring policies successfully transfer to physical hardware without degradation.

  • Hardware Validation: Deploy, test, and debug control policies on physical platforms, rapidly iterating on live teleoperation performance.

Technical Requirements (Must-Have)

  • Advanced Academic Background: Current PhD student or recent PhD graduate/Postdoc in Robotics, Computer Science, Mechanical Engineering, or a closely related field.

  • Proven Research Track Record: A strong publication history (e.g., ICRA, IROS, RSS, ToR) directly focused on whole-body manipulation, whole-body control, or teleoperation for humanoids or quadrupeds/manipulators.

  • Simulation Mastery: Proficient in setting up complex simulation environments (e.g., Isaac Sim/Gym, MuJoCo, Drake) for dynamic robotic tasks.

  • Software Competence: Strong programming skills in Python and/or C++ within a Linux development ecosystem.

Preferred Qualifications (Nice-to-Have)

  • Experience with VR-based teleoperation interfaces, haptic feedback devices, or exoskeleton-based human tracking.

  • Direct experience with real-time Linux environments (PREEMPT_RT) and low-level actuator communication loops.

Engagement Details

  • Duration: 6 Months (with the potential for extension).

  • Environment: A high-velocity, R&D lab environment pushing the boundaries of physical AI.