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Entry Level Robotic Simulation Engineer Jobs in Boston, MA

Senior Robotics Motion Planning Engineer

Woburn, MA ยท On-site

$114K - $157K/yr

Experience working with robotic simulation environments for development and validation. Preferred Qualifications: * BS/MS/PhD in Robotics, Mechanical Engineering, Computer Science, or a related field.

In this role, you will remotely operate and supervise robotic systems through advanced control ... Provide feedback on robot performance and usability * Assist engineering teams in identifying ...

In this role, you will remotely operate and supervise robotic systems through advanced control ... Provide feedback on robot performance and usability * Assist engineering teams in identifying ...

In this role, you will remotely operate and supervise robotic systems through advanced control ... Provide feedback on robot performance and usability * Assist engineering teams in identifying ...

In this role, you will remotely operate and supervise robotic systems through advanced control ... Provide feedback on robot performance and usability * Assist engineering teams in identifying ...

In this role, you will remotely operate and supervise robotic systems through advanced control ... Provide feedback on robot performance and usability * Assist engineering teams in identifying ...

Partner with the simulation team to build simulation CI pipelines that validate planner behavior ... software engineering experience building robotics, planning and control for AMRs or Mobile ...

Robotics Software Engineer

Woburn, MA ยท On-site

$120K - $145K/yr

We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to ... through simulation, hardware-in-the-loop testing, and operation of physical robotic systems.

Showing results 21-40

Entry Level Robotic Simulation Engineer information

See Boston, MA salary details

$31.5K

$114.7K

$183.6K

How much do entry level robotic simulation engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for entry level robotic simulation engineer in Boston, MA is $114,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $138,000.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Robotic Simulation Engineer vs Entry Level Robotics Software Developer?

AspectEntry Level Robotic Simulation EngineerEntry Level Robotics Software Developer
Primary FocusDeveloping and testing robotic simulation models and environmentsWriting and optimizing software for robotic systems and applications
Required SkillsRobotics, simulation tools, programming (C++, Python), physicsProgramming, algorithms, robotics frameworks, software development
Work EnvironmentResearch labs, simulation platforms, engineering teamsSoftware development teams, robotics companies, tech firms
Common CertificationsRobotics certifications, simulation software trainingSoftware development certifications, robotics courses

Both roles are entry-level positions in robotics, but the Robotic Simulation Engineer focuses on creating and testing virtual models of robots, while the Robotics Software Developer concentrates on coding and developing software for robotic systems. Understanding these distinctions helps job seekers target the right skills and career path in the robotics industry.

What are the most commonly searched types of Robotic Simulation Engineer jobs in Boston, MA?

The most popular types of Robotic Simulation Engineer jobs in Boston, MA are:

What are popular job titles related to Entry Level Robotic Simulation Engineer jobs in Boston, MA?

For Entry Level Robotic Simulation Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Entry Level Robotic Simulation Engineer jobs in Boston, MA look for?

The top searched job categories for Entry Level Robotic Simulation Engineer jobs in Boston, MA are:

Infographic showing various Entry Level Robotic Simulation Engineer job openings in Boston, MA as of September 2026, with employment types broken down into 1% Internship, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $114,729 per year, or $55.2 per hour.

Senior Robotics Motion Planning Engineer

Woburn, MA โ€ข On-site

$114K - $157K/yr

Full-time

Re-posted 9 days ago


Key responsibilities

  • Lead the software system definition and integration of custom multi-axis hardware, including modeling, planner selection, and motion profile definition.

  • Engineer collision-aware trajectory planning solutions using various algorithms and evaluate deterministic alternatives for safe, repeatable paths.

  • Develop and maintain ROS 2 nodes for real-time actuator feedback, joint state publishing, and trajectory execution, collaborating with hardware and systems teams.


Job description

About ATI:
Automated Tire (ATI) is on a mission to reinvent tire changing and wheel balancing using cutting-edge robotics. We are transforming a process that hasn't fundamentally changed in decades into an automated, high-performance system built for the future of automotive service.
Founded by experienced entrepreneurs with multiple successful exits and backed by leading players across the automotive and tire industries, ATI is building technology that will redefine how cars are serviced. Our team combines deep robotics expertise with real world deployment, moving fast from prototype to production and scaling solutions directly in the field.
If you are excited by hands-on robotics, real-world impact, and the challenge of building category-defining technology from the ground up, ATI is the place to do the most meaningful work of your career.
Position Overview:
We are looking for a Senior Robotics Engineer with deep expertise in motion planning to join our amazing software team. This is a hands-on, high-ownership role that will be the primary technical driver for implementing motion planning and control on our unique multi-axis robotic platform. This role will be responsible for deploying robust path planning and collision avoidance capabilities, working closely with perception, workflow and low-level hardware teams to build a robust and reliable robot unlike any other.
Our system leverages multi-axis linear and rotational actuators to perform precision tire service operations. Our system has multiple manipulators that work in concert together in confined spaces where the risk of collision is high. The ideal candidate will understand the planning capabilities of the ROS 2 and MoveIt ecosystems deeply enough to configure and adapt its kinematic model, planning scene, and planner interfaces (OMPL, STOMP, CHOMP, Pilz) for our unique hardware topology.
ATI is a small, gritty and talented team doing work that is genuinely hard. You will have direct access to hardware, real influence over technical direction, and no shortage of interesting problems to tackle.
Key Responsibilities:
  • Lead software system definition and integration of custom multi-axis hardware, handling URDF/SRDF modeling, planner selection and tuning, axis grouping, and defining joint-specific motion profiles
  • Engineer fast, efficient collision-aware trajectory planning that can adapt to environmental obstacles and internal kinematic limits.
  • Develop path planning solutions using OMPL (RRT, RRT-Connect, PRM) and evaluate deterministic alternatives (i.e., Pilz Industrial Motion Planner) for repeatable, production-safe trajectories
  • Work with the motion team to build and maintain ROS 2 nodes for real-time actuator state feedback, joint state publishing, and trajectory execution against robotic hardware interfaces
  • Collaborate with systems and hardware engineering to define kinematic constraints, velocity/acceleration limits, and safety interlocks for each axis of motion
  • Debug and optimize motion performance in the field during site deployments - this is a bring-your-laptop-to-the-robot role when needed
  • Write clean, testable code that can be maintained and extended; document your designs clearly for cross-functional audiences

Requirements
  • Deep expertise in motion planning algorithms, including sampling-based methods (e.g., RRT, RRT*), probabilistic roadmaps (PRM), and trajectory optimization techniques (e.g., CHOMP, STOMP, TrajOpt) with a strong preference for 2+ years of hands-on experience with MoveIt or MoveIt 2 in production or near-production systems.
  • Strong problem solving skills with a proven ability to diagnose and resolve complex hardware-software integration issues, from high-level trajectory failures to low-level actuator constraints.
  • Solid understanding of collision avoidance strategies, occupancy representations (e.g., OctoMap, voxel grids), and safety-aware planning.
  • Hands-on experience with kinematic solvers such as KDL, TRAC-IK, or equivalent, with a strong understanding of forward and inverse kinematics for serial and parallel manipulators.
  • Proven ability to build production-grade systems that achieve reliable, sub-second planning under real-world constraints including dynamic obstacles and tight tolerances.
  • Strong proficiency in C++ and/or Python within the ROS2 ecosystem, with a firm grasp of real-time performance considerations, memory management, and software design patterns.
  • Experience working with robotic simulation environments for development and validation.

Preferred Qualifications:
  • BS/MS/PhD in Robotics, Mechanical Engineering, Computer Science, or a related field.
  • Background in automotive service equipment, industrial automation, or other mechatronic systems outside of traditional robot arms
  • Experience with real-time trajectory execution, hardware-in-the-loop testing, or safety-rated motion control
  • Full-stack robotics experience spanning motor control and drive systems, hardware abstraction layers (HAL), and low-level firmware interfacing.
  • Exposure to sensor integration and perception, including LiDAR, depth cameras, IMUs, and point cloud processing (e.g., PCL, Open3D), SLAM, or object detection as it pertains to reactive and perception-driven motion planning.