Robotics Engineer vs. Software Engineer: Which Career for Your Kid?

My neighbor’s son spent last summer building a line-following robot from scratch. Soldered his own H-bridge motor driver, wrote PID control loops in C, debugged for hours when the robot veered left for no obvious reason. He’s 15. His mom asked me whether he should pursue robotics engineering or just “stick to software” because “the job market is safer.”

That question contains a hidden assumption worth examining: that software engineering is the safe default and robotics is the risky specialty. The actual data tells a more interesting story. Both fields are growing. Both pay well. And they require meaningfully different preparation — which matters a lot for what your kid should be doing right now.

What Each Career Actually Requires

Before comparing salaries and projections, it’s worth being precise about what these jobs actually involve day-to-day — because the job titles obscure real differences.

A software engineer writes code for applications, web services, operating systems, or back-end infrastructure. The work is primarily logical and abstract: designing data structures, writing functions, debugging runtime behavior, deploying to cloud infrastructure. The physical world rarely enters the picture. Most software engineers work in companies that could, theoretically, operate anywhere with internet access.

A robotics engineer works at the intersection of computing, electrical engineering, mechanical engineering, and often control theory and physics. Their software runs on physical hardware. When something goes wrong, the problem might be in the code, or it might be in the motor driver circuit, the sensor calibration, the mechanical tolerance, or the environmental conditions. Debugging requires reasoning across multiple physical and computational layers simultaneously.

Neither is harder than the other. They’re hard in different ways. And they suit different kinds of minds.

The spectrum between them is also real:

Role	Primary Skills	Where They Work	Physical Hardware?
Software Engineer (web/app)	CS, algorithms, frameworks	Tech companies, startups	Rarely
Software Engineer (systems)	CS, OS, low-level programming	Infrastructure, cloud	Rarely
Robotics Software Engineer	CS, ROS, control systems	Robotics companies, research labs	Yes, constantly
Mechatronics Engineer	CS + EE + mechanical	Manufacturing, automotive, aerospace	Yes
Robotics Engineer (hardware)	EE, mechanical, embedded systems	Defense, industrial automation	Yes
Autonomous Systems Engineer	CS + ML + control theory	Self-driving vehicles, drones	Yes

Your kid doesn’t have to choose between the two poles. The spectrum exists, and many of the most interesting careers (autonomous vehicles, surgical robotics, space systems) sit in the middle.

What the Data Shows

Bureau of Labor Statistics projections (2022–2032)

The BLS projects software developer employment growing at 26% through 2032, adding roughly 411,000 net new jobs — making it one of the fastest-growing professional categories in the country (BLS, 2024, Occupational Outlook Handbook: Software Developers).

Robotics engineers fall primarily into two BLS categories. “Industrial engineers” (which includes many robotics roles) are projected to grow 12% through 2032, adding about 32,000 jobs. “Electrical and electronics engineers” — who design the hardware robotics systems rely on — are projected to grow 10% through 2032 (BLS, 2024).

These growth rates look lower for robotics on paper. But the base is also much smaller. The absolute number of SWE openings will far exceed robotics openings. The quality and compensation of individual robotics roles, however, are another matter.

Salary comparison

According to BLS (2024) median annual wages:

• Software developers: $132,270 (median), with the top 10% earning $208,000+
• Electrical and electronics engineers: $112,190 (median)
• Industrial engineers (incl. robotics): $99,380 (median)

However, those BLS medians include many low-complexity industrial roles. Specialized robotics engineers at companies like Boston Dynamics, Waymo, Cruise, Sarcos Robotics, and Medtronic earn salaries much closer to senior SWE levels — $160,000–$250,000 with equity compensation (Levels.fyi, 2024).

Which is more resistant to automation?

This question matters for long-term career planning. McKinsey Global Institute’s 2023 automation report found that roles involving physical manipulation in unpredictable environments — which describes field robotics, surgical robotics, and autonomous systems work — are among the hardest to automate, because they require the kind of adaptive physical reasoning that AI systems still struggle with (McKinsey Global Institute, 2023).

Standard software engineering, paradoxically, is more vulnerable to AI-assisted automation than many people expect. GitHub Copilot, Cursor, and similar tools already handle large percentages of routine coding tasks. A 2024 study from MIT found that AI coding tools increased developer productivity by 55% — which raises the long-term question of how many developers companies will need to hire to ship the same output (Brynjolfsson et al., 2024, MIT Sloan Management Review).

This doesn’t mean software engineering is going away. It means the floor of what a software engineer needs to know to be employed is rising. Robotics engineering, by contrast, involves physical-world problem solving that software tools haven’t yet systematically compressed.

What the Required Coursework Looks Like

This is where the paths diverge most practically for parents with kids still in high school.

A software engineering track in college requires primarily: calculus (one semester is often sufficient for many tracks), discrete mathematics, data structures and algorithms, computer architecture, and software engineering methodology. A motivated high schooler can cover most of the conceptual foundation through AP CS, online courses, and personal projects.

A robotics engineering track requires: calculus through multivariable and differential equations, linear algebra, physics (mechanics and electromagnetism), circuit analysis (basic EE), programming in both Python and C/C++, and increasingly, probability and statistics for sensor fusion and machine learning applications. It’s a broader preparation requirement. Not harder necessarily — but broader, and less forgiving of gaps.

Subject	SWE Track	Robotics Track	Why It Matters for Robotics
Calculus I & II	Required	Required	Optimization, kinematics
Multivariable Calculus	Optional	Required	Robot trajectory, spatial reasoning
Differential Equations	Rarely required	Required	Control systems (PID, state-space)
Linear Algebra	Useful	Required	Transformations, SLAM, sensor fusion
Physics: Mechanics	Rarely	Required	Force, torque, structural loads
Physics: Electromagnetism	No	Required	Motor drivers, sensor circuits
Circuit Analysis	No	Required	Embedded hardware
Python	Required	Required	—
C / C++	Optional	Required	Real-time and embedded systems
ML / Statistics	Increasingly expected	Increasingly expected	Perception, planning

The implication for parents: a kid who wants to keep options open for robotics should not skip physics or pre-calculus in high school. A kid who wants software engineering has more flexibility to specialize later.

What This Career Path Actually Looks Like

For a kid who chooses robotics engineering, the four-year arc looks roughly like this: freshman and sophomore years are largely shared with electrical or mechanical engineering tracks — heavy on math and physics. Junior year introduces robotics-specific courses: control systems, robot kinematics, computer vision, and embedded systems. Senior year involves a capstone project — usually a working physical robot — and increasingly involves ROS (Robot Operating System), which is the industry standard framework.

Internship experience is critical. Boston Dynamics, iRobot (now Amazon), Waymo, Nuro, and dozens of smaller robotics startups run university internship programs. A student who can demonstrate hands-on hardware experience — not just simulation — has a significant advantage.

For software engineering, the path is more well-worn: CS degree (or increasingly, a rigorous bootcamp-to-industry pipeline for certain roles), followed by entry roles that often involve heavy algorithm practice for technical interviews. The compensation curve is steep — entry-level SWE roles at major tech companies start at $120,000–$160,000.

What Parents Should Do

Watch what your kid actually builds for fun

This is the most reliable signal you have. A kid who builds Lego Mindstorms robots, tinkers with Arduino, or takes apart appliances to see how they work is showing you something about how their brain is wired. A kid who spends hours writing Discord bots, building websites, or modding video games is showing you something else. Neither is better. Both point toward real career trajectories.

Don’t let them skip physics or pre-calc in high school

For a kid who might want any engineering path — robotics, embedded systems, electrical, mechanical — skipping or watering down math and physics in high school creates a real obstacle later. Robotics curricula assume differential equations. Students who haven’t seen calculus before college spend their first semester catching up instead of building things.

Get them on ROS before college, if they’re serious

Robot Operating System (ROS) is the industry standard for robotics software. It runs on Linux. Learning it at 16 or 17 is genuinely useful and not that difficult. ROS documentation is public and free. There are YouTube tutorials and formal courses on Udemy. A student who arrives at college already familiar with ROS nodes, topics, and services is ahead of most first-year robotics students.

Encourage the full spectrum, not binary thinking

The most interesting emerging fields — autonomous vehicles, drone systems, surgical robotics, space robotics — combine software and hardware expertise. A kid who builds software skills and hardware skills is not spreading themselves thin. They’re making themselves more valuable in the fastest-growing segments of the robotics industry. See also our breakdown of AI skills kids need to future-proof their careers for context on how these fields intersect.

For software-leaning kids: don’t overlook embedded systems

Software engineering that runs on hardware — in cars, medical devices, industrial machines, and IoT devices — is more stable and harder to automate than web application development. A software engineer who understands hardware constraints is rare and valuable. This connects directly to what the embedded systems engineering career looks like, which is worth understanding even for parents with software-leaning kids.

What to Watch Over the Next 3 Years

Humanoid robotics is creating a new hiring surge. Boston Dynamics, Figure AI, Agility Robotics, and Tesla’s Optimus program are all in active development of general-purpose humanoid robots. This will generate demand for robotics engineers over the next 3–5 years that may significantly exceed current projections. Parents of kids currently in middle school or early high school may see the job market look quite different by the time they graduate.

AI is changing what robotics engineers need to know. Traditional robotics used hand-coded control algorithms. Modern robotics increasingly uses learned behavior — neural networks trained on physical interaction data. A robotics engineer who doesn’t understand basic machine learning is increasingly a liability. The curriculum is shifting; universities are responding. Kids should plan accordingly.

Software engineering hiring is in a reset. The tech hiring contraction of 2023–2024 affected SWE more than robotics. Hiring has recovered, but the days of tech companies hiring thousands of junior engineers for growth are probably over. Senior roles remain robust; entry-level pipelines are more competitive than they were five years ago.

Frequently Asked Questions

Which pays more, robotics engineering or software engineering?

Software engineering has higher median pay by BLS data — $132,270 vs. roughly $99,000–$112,000 for most robotics-adjacent categories. But specialized robotics engineers at frontier companies (Waymo, Boston Dynamics, surgical robotics firms) earn $160,000–$250,000, closing the gap significantly. The ceiling is comparable; the floor is lower in robotics.

Can my kid do both robotics and software engineering?

Yes, and this is increasingly the most valuable career position. Robotics software engineering — writing the software that controls physical robots — requires both skill sets. The ROS ecosystem is effectively software engineering applied to physical systems. A student who studies CS with a robotics concentration, or mechatronics, walks out with both.

Is robotics engineering hard to get into without a specific degree?

More so than software engineering. Software engineering has alternative paths — bootcamps, self-taught portfolios, open-source contribution. Robotics engineering relies heavily on university research lab access, hands-on hardware projects, and mentored internships. A traditional four-year engineering degree (CS, EE, or mechanical with robotics coursework) is the typical entry point.

What industries hire robotics engineers besides tech companies?

Automotive (Ford, GM, Toyota), aerospace (NASA, SpaceX, Boeing), medical devices (Intuitive Surgical, Medtronic, Stryker), defense (Lockheed Martin, Raytheon), agriculture (John Deere autonomy division), and logistics (Amazon Robotics, Ocado) are all major employers. Robotics is not a Silicon Valley-only career.

Does my kid need to be good at math to pursue robotics?

Yes, more so than for general software engineering. Differential equations, linear algebra, and physics are core coursework requirements in robotics programs. A kid who struggles with or dislikes math will find robotics coursework genuinely difficult. A kid who enjoys problem-solving through math often thrives in it.

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About the author

Ricky Flores is the founder of HiWave Makers and an electrical engineer with 15+ years developing consumer technology at Apple, Samsung, and Texas Instruments. He writes about how kids learn to build, think, and create in a tech-saturated world. Read more at hiwavemakers.com.

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Sources

1. Bureau of Labor Statistics, U.S. Department of Labor. (2024). Occupational Outlook Handbook: Software Developers, Quality Assurance Analysts, and Testers. https://www.bls.gov/ooh/computer-and-information-technology/software-developers.htm

2. Bureau of Labor Statistics, U.S. Department of Labor. (2024). Occupational Outlook Handbook: Electrical and Electronics Engineers. https://www.bls.gov/ooh/architecture-and-engineering/electrical-and-electronics-engineers.htm

3. Bureau of Labor Statistics, U.S. Department of Labor. (2024). Occupational Outlook Handbook: Industrial Engineers. https://www.bls.gov/ooh/architecture-and-engineering/industrial-engineers.htm

4. McKinsey Global Institute. (2023). The Economic Potential of Generative AI: The Next Productivity Frontier. McKinsey & Company. https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economic-potential-of-generative-ai

5. Brynjolfsson, E., Li, D., & Raymond, L. (2024). “Generative AI at Work.” MIT Sloan Management Review / NBER Working Paper 31161. https://www.nber.org/papers/w31161

6. Levels.fyi. (2024). Compensation Data: Robotics and Autonomous Systems Engineering. https://www.levels.fyi/

7. Robot Operating System (ROS) Documentation. (2024). Open Robotics / ROS.org. https://www.ros.org/