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Cartesian Jobs in Boston, MA (NOW HIRING)

Own the architecture and implementation of the robot control stack, from joint space control up to whole-body Cartesian based control. * Design and implement impedance control, force control, and ...

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Cartesian information

See Boston, MA salary details

$80.4K

$149.8K

$214K

How much do cartesian jobs pay per year?

As of Aug 8, 2026, the average yearly pay for cartesian in Boston, MA is $149,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $176,000.00 per year, depending on experience, location, and employer.

What is the difference between Cartesian vs Mechanical Engineer?

AspectCartesianMechanical Engineer
Required CredentialsTypically requires a degree in engineering, robotics, or related fieldsRequires a degree in mechanical engineering or similar
Work EnvironmentOften in manufacturing, robotics, automation settingsIn design, manufacturing, testing, and research labs
Industry UsageCommon in automation, robotics, CNC machiningWidespread across automotive, aerospace, product design

Cartesian roles focus on specific automation and robotics tasks involving Cartesian coordinate systems, while Mechanical Engineers have broader responsibilities in designing and analyzing mechanical systems. Both roles often require engineering degrees and work in technical environments, but their applications and focus areas differ.

What is a Cartesian?

In a professional context, 'Cartesians' typically refers to individuals who specialize in or apply the philosophies and methods of René Descartes, particularly in fields such as philosophy, mathematics, or logic. In mathematics, Cartesian refers to concepts based on the Cartesian coordinate system, which is foundational for geometry, algebra, and related disciplines. Cartesians may work in academic, analytical, or technical roles where logical reasoning, problem-solving, and structured analysis are essential. Their expertise is valuable in sectors that require precise modeling, data analysis, or philosophical inquiry.

What are the key skills and qualifications needed to thrive as a Cartesian?

To thrive as a Data Analyst at Cartesian, you need strong analytical skills, proficiency in quantitative methods, and a relevant degree in mathematics, statistics, or a related field. Familiarity with data analysis tools such as SQL, Python, and Excel, as well as experience with data visualization platforms like Tableau or Power BI, is typically expected. Attention to detail, problem-solving ability, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These competencies enable accurate data-driven decision-making, which is crucial for delivering actionable insights and driving business success.

What projects or problems does a data analyst at Cartesian typically work on, and how do they collaborate with other teams?

As a data analyst at Cartesian, you can expect to work on projects such as analyzing telecom customer usage patterns, optimizing network performance, and developing actionable business insights for clients. Collaboration is central to the role — you'll regularly work alongside consultants, data engineers, and client-facing teams to design solutions and present findings. Analysts often participate in brainstorming sessions and client meetings, making strong communication and teamwork skills essential. The fast-paced, project-oriented environment provides ample opportunities to learn from cross-functional experts and grow your skill set.
What cities near Boston, MA are hiring for Cartesian jobs? Cities near Boston, MA with the most Cartesian job openings:
Infographic showing various Cartesian job openings in Boston, MA as of August 2026, with employment types broken down into 18% Full Time, and 82% Part Time. Highlights an 18% Physical, and 82% Remote job distribution, with an average salary of $149,756 per year, or $72 per hour.

Robot Control Lead

ATI

Woburn, MA • On-site

Full-time

Posted 10 days ago


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 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, industrial physical AI, 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:

ATI is looking for a Robot Control Lead to own the control stack that powers our automated tire-changing and wheel-balancing robots. You will lead the design, development, and deployment of the different layers of robot control that let our robots interact safely and precisely with their environment — from real-time force-aware dexterous manipulation to task planning and reasoning with perception and AI models. This is a hands-on leadership role: you will be part of the software team responsible for architecting control systems, writing and reviewing code, and working side by side with mechanical, electrical, and perception teams to take our robots from prototype to reliable field deployment.

Responsibilities:
  • Own the architecture and implementation of the robot control stack, from joint space control up to whole-body Cartesian based control.
  • Design and implement impedance control, force control, and compliant manipulation strategies using Force-Torque sensor feedback for complex dexterous manipulations.
  • Develop and tune real-time control loops that meet the timing, safety, and reliability requirements of an industrial robotic system operating in the field.
  • Design robot motion and trajectory generation strategies that balance speed, precision, and safety in dynamic, real-world environments.
  • Build and maintain simulation environments (e.g., IsaacSim, MuJoCo, or similar) to develop, validate, and regression-test control algorithms before deployment on hardware.
  • Develop controllers and control logic using tools such as MATLAB/Simulink, and translate models into production-grade real-time code.
  • Lead the industrialization of control software — hardening prototypes into robust, maintainable, and deployable systems for field operation at scale.
  • Collaborate closely with mechanical, electrical, perception, and product teams to define system requirements and resolve cross-disciplinary technical challenges.
  • Mentor and guide other engineers on the software controls team, setting technical direction and best practices.
  • Support on-site commissioning, testing, and troubleshooting of deployed robotic systems as needed.

Requirements

  • Expertise in robotics and control theory, with a strong track record of designing and deploying control systems for physical robots.
  • Expertise in low-level control, including impedance control and force control using Force-Torque sensors.
  • Expertise in robot motion planning and trajectory/motion control.
  • Expertise in real-time control systems, including their design, implementation, and performance constraints.
  • Experience with ROS/ROS2 in production robotic systems.
  • Hands-on experience with robot simulation tools such as IsaacSim, MuJoCo, or similar platforms.
  • Experience with robot controller development environments such as MATLAB/Simulink.
  • Experience with real-time vision systems and modern perception models, including VLM and VLA approaches.
  • Demonstrated experience taking robotic applications from prototype through industrialization and field deployment.

Preferred Qualifications:

  • Advanced degree (M.S. or Ph.D.) in Robotics, Electrical Engineering, Mechanical Engineering, Computer Science, or a related field.
  • Experience with force/torque-sensitive manipulation in industrial or automotive applications.
  • Prior experience in a startup or fast-paced environment, taking products from prototype to production.
  • Familiarity with functional safety standards and practices for industrial robotics.
  • Track record of technical leadership, mentoring, and cross-functional collaboration.