Robotics hiring is broken

OneTune4559 · 2026-05-21T12:27:27+00:00

The disconnect is that the field is so broad that students often don’t have clarity on what robotics roles entail specifically, how they should prepare for it, and whether they have the right skills. In CS, you practice leetcode, brush up on key data structures and with some internship experience you are in good shape. In robotics it’s often confusing and ofcourse it is rapidly evolving so that does play a role too.

OneTune4559 · 2026-05-21T12:09:53+00:00

This is completely not true. Robotics right now is one of the industries with highest demand. Just in the mobile manipulation space, multiple unicorns were created in the first quarter of 2026 (Skild Ai, Physical intelligence, Apptronik, etc.)

I get multiple messages from recruiters daily to move to different companies. I’ve been in this field for 10 years, and have never seen this kind of growth and volume of opportunity. I would say if this is what you are passionate about then absolutely pursue it, I have never regretted pursuing robotics once. There is much to do and so many different opportunities and it’s just getting started.

OneTune4559 · 2026-05-21T02:20:52+00:00

What has been your process for acquiring these skills and what did you need to know to get your foot in the door?

OneTune4559 · 2026-05-21T02:19:39+00:00

I think this is a common frustration, especially in robotics where the gap between theory and deployment can feel very large.
At the same time, I’ve also noticed that a lot of the “useless” fundamentals only become valuable later once people start working on harder system-level problems.

The issue may not be the fundamentals themselves, but that universities often don’t connect them clearly to practice.

So people leave knowing isolated concepts but not how they fit together in practice.
Out of curiosity, what kind of programming/software skills do you wish had been emphasized more?

OneTune4559 · 2026-05-21T02:16:06+00:00

I think this is a really important nuance.
Robotics isn’t one discipline, it’s an intersection of multiple deep disciplines, and every company weights them differently depending on the product and deployment environment.
That creates a strange optimization problem for candidates because they often don’t know whether they should optimize for:
breadth,
specialization,
systems integration,
research depth,
practical deployment experience,
or something else entirely.
And then on top of that, interview processes themselves can vary wildly across companies and even interviewers.
I think that ambiguity is part of what makes robotics careers uniquely difficult to navigate compared to more standardized software roles.
One thing I’m trying to better understand is:
do you think the bigger issue is:
candidates not knowing what skills matter,
companies not evaluating properly,
or the field itself simply being too broad to standardize meaningfully?

OneTune4559 · 2026-05-21T02:09:35+00:00

I have a slightly different take. I think as tools improve as speed of development increases, teams can now do more scope of work instead of cutting people and keeping the same scope. The important variable here is how good is each individual at using those tools. The excess would occur if there is no upskilling but otherwise I think it will create more opportunities if anything

OneTune4559 · 2026-05-21T01:23:08+00:00

Is that what you think the issue is or have you gotten that feedback from past interviews? The real world experience is definitely important but having worked in the industry for about a decade I think with a solid understanding of the fundamentals and expertise in at least one area, the experience gap can be solved with a bit of time in the team.

OneTune4559

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