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Robotics Engineers

SOC Code: 17-2199.08

Architecture & Engineering

Robotics engineers are innovators who design, develop, build, and test robotic systems used across manufacturing, healthcare, agriculture, defense, and consumer products, earning a median salary of approximately $117,750 per year. They sit at the nexus of mechanical engineering, electrical engineering, computer science, and systems integration, synthesizing these disciplines into functional machines that can sense their environments, make decisions, and perform complex physical tasks with speed and precision far exceeding human capabilities. From surgical robots and autonomous vehicles to industrial welding arms and warehouse fulfillment systems, robotics engineers are reshaping how work is performed across the global economy. The field demands both deep theoretical knowledge and pragmatic problem-solving skills; a robotics engineer must understand servo motor dynamics just as readily as they must debug embedded control code at 2am before a production launch. As automation accelerates across industries, robotics engineering has emerged as one of the most consequential and in-demand engineering specializations of the 21st century.

Salary Overview

Median

$117,750

25th Percentile

$85,750

75th Percentile

$152,670

90th Percentile

$183,510

Salary Distribution

$63k10th$86k25th$118kMedian$153k75th$184k90th$63k – $184k range
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Job Outlook (2024–2034)

Growth Rate

+2.1%

New Openings

9,300

Outlook

Slower than average

Key Skills

Reading Compre…MathematicsCritical Think…Active LearningQuality Contro…Complex Proble…Technology Des…Equipment Sele…

Knowledge Areas

Engineering and TechnologyDesignComputers and ElectronicsMechanicalMathematicsPhysicsEducation and TrainingEnglish LanguageProduction and ProcessingAdministration and ManagementCustomer and Personal ServiceChemistry

What They Do

  • Review or approve designs, calculations, or cost estimates.
  • Process or interpret signals or sensor data.
  • Debug robotics programs.
  • Build, configure, or test robots or robotic applications.
  • Create back-ups of robot programs or parameters.
  • Provide technical support for robotic systems.
  • Design end-of-arm tooling.
  • Design robotic systems, such as automatic vehicle control, autonomous vehicles, advanced displays, advanced sensing, robotic platforms, computer vision, or telematics systems.

Tools & Technology

Amazon Web Services AWS software ★Atlassian JIRA ★Autodesk AutoCAD ★Bentley MicroStation ★C ★C# ★C++ ★Dassault Systemes SolidWorks ★Git ★JavaScript ★Linux ★Microsoft .NET Framework ★Microsoft Excel ★Microsoft Office software ★Microsoft Outlook ★Microsoft PowerPoint ★Microsoft Project ★Microsoft Visio ★Microsoft Visual Basic ★Microsoft Visual Studio ★

★ = Hot Technology (in-demand)

Education Requirements

Typical entry-level education: Bachelor's Degree

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A Day in the Life

A typical day might begin with a design review meeting to discuss kinematic performance of a new robot arm prototype, walking through simulation results from ROS (Robot Operating System) and flagging components that exceed weight or cost targets. Machine-side debugging follows—connecting a laptop to a controller, monitoring sensor feedback loops, and tuning PID parameters to eliminate oscillatory behavior in a linear actuator. Later in the morning a robotics engineer might collaborate with software engineers to integrate computer vision algorithms with a robot's motion planning stack, running test cycles in a simulation environment before committing to hardware trials. Afternoon activities often include documentation of testing results, design modifications in CAD software like SolidWorks or CATIA, and coordination with procurement on long-lead mechanical components. Team sprint reviews and backlog planning—using agile development methodologies adapted for hardware-software co-design—are increasingly standard in modern robotics development cycles.

Work Environment

Robotics engineers work in a hybrid environment that spans laboratory and workshop space—where physical prototyping, assembly, and hardware testing occurs—and standard office or open-plan engineering workspace for design, simulation, and software development. Employers include industrial automation companies, automotive OEMs, aerospace and defense contractors, medical device firms, technology startups, and university research centers. The manufacturing floor or production facility may require extended time during integration and commissioning phases, involving shift work and travel to customer sites. Standard weekday schedules dominate, though aggressive product development timelines can create crunch periods requiring extended hours. The field is heavily concentrated in tech-forward metro areas including Boston, San Francisco, Pittsburgh, Detroit, and Austin, though remote robotics simulation and software development roles are growing.

Career Path & Advancement

A bachelor's degree in mechanical engineering, electrical engineering, computer science, or a specialized robotics engineering program is the standard entry point, placing graduates into roles as robotics engineer I or associate automation engineer with starting salaries in the $75,000–$95,000 range. With three to five years of hands-on development experience, engineers advance to mid-level robotics engineer or systems engineer roles, typically claiming ownership of subsystems or complete robot programs. Senior robotics engineers with seven or more years of experience often lead technical teams, making architecture-level design decisions and mentoring junior engineers across mechanical, electrical, and software domains. A master's degree accelerates advancement into research-focused positions at companies like Boston Dynamics, iRobot, or national laboratories, while a PhD is the gateway to research scientist roles and university faculty positions. Principal engineer, engineering director, and CTO roles represent the upper tier of the individual contributor and leadership tracks respectively.

Specializations

Industrial automation engineers focus on robotic systems for manufacturing—welding, assembly, material handling, and painting—often working with established platforms from FANUC, ABB, KUKA, and Universal Robots to program, integrate, and optimize production line automation. Medical robotics engineers develop surgical systems, rehabilitation exoskeletons, and diagnostic robots, working within the stringent regulatory environment of FDA-clearance processes and ISO medical device standards. Autonomous systems engineers design and develop the perception, planning, and control stacks for self-driving vehicles, delivery drones, and autonomous mobile robots (AMRs), applying computer vision, LiDAR processing, and deep learning to navigation challenges. Soft robotics and human-robot interaction specialists focus on systems designed to work safely alongside humans, developing compliant actuators, tactile sensors, and intuitive programming interfaces that make collaborative robots (cobots) usable by non-technical operators.

Pros & Cons

Advantages

  • Median salary of ~$117,750 reflecting deep technical expertise across multiple engineering disciplines
  • Work on systems that meaningfully advance manufacturing efficiency, surgical precision, space exploration, and human-robot interaction
  • Rapidly growing field with strong job market driven by industrial automation, autonomous vehicles, and service robotics
  • Combines physical hardware development with software—providing intellectual variety that purely software or purely mechanical roles do not
  • Startup ecosystem offers equity upside for early-stage robotics engineers willing to take on company-stage risk
  • International career opportunities with major robotics manufacturers based in Japan, Germany, and South Korea
  • Strong collaborative culture in robotics teams due to multi-disciplinary nature requiring mechanical, electrical, and software engineers to work tightly together

Challenges

  • High educational requirements with most competitive positions expecting a master's degree or strong research portfolio
  • Hardware development cycles are slow and expensive—a failed prototype can set a project back by months and hundreds of thousands of dollars
  • Debugging complex electromechanical systems requires tolerance for ambiguous failure modes that can be extremely time-consuming to isolate
  • Integration and commissioning phases at customer sites often involve extended travel and non-standard working hours
  • Breadth of required knowledge across mechanical, electrical, software, and controls domains creates a steep and perpetually moving learning curve
  • Geographic concentration in a limited number of tech hubs can restrict relocation options for professionals with family or location constraints
  • Rapid technology change means specialized expertise in any particular robot platform or framework can become obsolete within a decade

Industry Insight

The global robotics market is projected to grow from approximately $55 billion to over $165 billion by 2030, driven by industrial automation expansion, healthcare robotics adoption, and autonomous vehicle development across automotive and logistics sectors. Foundation models and large-scale imitation learning are beginning to unlock general-purpose robotic manipulation capabilities that were previously confined to research labs, potentially triggering a new wave of commercial deployment in unstructured environments like homes and retail stores. Labor shortages in manufacturing, healthcare, and logistics are accelerating capital investment in automation, creating sustained demand for robotics engineers who can accelerate and de-risk deployment timelines. Collaborative robots (cobots) have democratized industrial automation by enabling small and medium manufacturers to automate without the safety cages and specialized programming expertise previously required, expanding the market and creating new integration engineering roles. The software stack demand within robotics—particularly in simulation, machine learning, and autonomous navigation—means that robotics engineers with strong software backgrounds command premium compensation in competition with Silicon Valley technology firms.

How to Break Into This Career

A BS in mechanical engineering, electrical engineering, computer engineering, or a dedicated robotics engineering program from an ABET-accredited institution is the standard entry credential, with robotics-specific degree programs now offered at dozens of universities nationwide. Proficiency in ROS/ROS2, C++, Python, MATLAB, and CAD/simulation tools (SolidWorks, ADAMS, Gazebo) is increasingly expected at the entry level and should be demonstrable through university projects, GitHub repositories, or competition robots. Participation in robotics competitions—FIRST Robotics, RoboSub, VEX, or collegiate ROV competitions—provides hands-on experience and team development credentials that admissions committees and employers highly value. Research experience through undergraduate REU (Research Experiences for Undergraduates) programs at universities or internships at companies like iRobot, Symbotic, or Waymo provides invaluable context for full-time application. Graduate programs in robotics or mechatronics significantly accelerate entry into research and advanced system design roles.

Career Pivot Tips

Mechanical engineers with manufacturing or product development backgrounds can pivot into robotics by developing programming skills in Python or C++ and learning ROS, leveraging their mechanism design and materials knowledge in robot hardware development. Software engineers—particularly those with experience in embedded systems, real-time programming, or machine learning—can effectively transition into robotics software engineering roles, where the greatest talent shortage in the field exists. Electrical engineers from servo drives, power electronics, or sensor design backgrounds have directly applicable hardware skills for robotics actuator and sensor system work. Controls engineers from aerospace, industrial automation, or autonomous vehicle industries can apply their expertise in feedback control theory and system identification directly to robotic motion control. Community college and bootcamp graduates with strong microcontroller, Arduino, and Raspberry Pi project portfolios increasingly compete for technician-to-engineer bridge roles at robotics startups with less rigid credentialing requirements.

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