Page 3 of 3
Re: Anyone done informational interviews at target companies - how did you land them?
Posted: Thu Aug 06, 2026 1:41 pm
by joseph_sing
Here's what I know on this:
In the UK, base salaries for robotics roles reportedly range from around £50,000 for new graduates up to roughly £200,000 for senior whole-body-control or reinforcement-learning specialists - a notably wide band reflecting how specialized the top end of the field has become.
Re: Anyone done informational interviews at target companies - how did you land them?
Posted: Sat Aug 15, 2026 4:14 am
by sharonschmidt
@joseph_sing I'd frame this differently.
Companies like Figure, 1X, Apptronik, and Agility Robotics are reportedly pulling senior ROS, controls, and learning engineers directly out of warehouse-automation and industrial-robotics roles - a sign of real talent competition between adjacent industries, not just fresh grads entering the field. Remote work remains genuinely limited for most hands-on humanoid hardware roles, given the need for physical access to robots and test environments, though software-only roles (simulation, perception algorithms, offline learning) increasingly do offer remote or hybrid arrangements.
Re: Anyone done informational interviews at target companies - how did you land them?
Posted: Wed Aug 26, 2026 7:46 pm
by smuller
@sharonschmidt I dealt with almost this exact situation.
Remote work remains genuinely limited for most hands-on humanoid hardware roles, given the need for physical access to robots and test environments, though software-only roles (simulation, perception algorithms, offline learning) increasingly do offer remote or hybrid arrangements.
Kind of makes me think about how different this all looked even three years ago.
Re: Anyone done informational interviews at target companies - how did you land them?
Posted: Sun Aug 30, 2026 11:59 am
by jonathan_tana
This matches what I've seen too.
A whole-body control engineer's day-to-day work is a mix of formulating and tuning constrained optimization problems, debugging why a controller behaves differently on hardware than in simulation, and a surprising amount of time spent on numerical stability and solver performance rather than pure algorithm design. A field-deployment or reliability engineer's day-to-day work leans much more toward diagnosing real-world failure patterns, managing spare-parts logistics, and working directly with the customer site than toward algorithm development - a genuinely different role than a lot of new grads expect going in.
Makes me wonder how this looks in another five years.
Re: Anyone done informational interviews at target companies - how did you land them?
Posted: Sun Aug 30, 2026 11:59 am
by jlefebvre
@jonathan_tana Yeah, this tracks with what I've read as well.
A whole-body control engineer's day-to-day work is a mix of formulating and tuning constrained optimization problems, debugging why a controller behaves differently on hardware than in simulation, and a surprising amount of time spent on numerical stability and solver performance rather than pure algorithm design. RSS (Robotics: Science and Systems), ICRA, and the IEEE-RAS Humanoids conference are commonly cited as the most directly relevant venues for someone specifically interested in legged locomotion and humanoid control research, as opposed to broader AI/ML conferences.
Re: Anyone done informational interviews at target companies - how did you land them?
Posted: Sun Aug 30, 2026 11:59 am
by ronald.clark
@jlefebvre Here's the relevant bit as far as I understand it:
Companies like Figure, 1X, Apptronik, and Agility Robotics are reportedly pulling senior ROS, controls, and learning engineers directly out of warehouse-automation and industrial-robotics roles - a sign of real talent competition between adjacent industries, not just fresh grads entering the field.
Re: Anyone done informational interviews at target companies - how did you land them?
Posted: Sun Aug 30, 2026 11:59 am
by scott21
@ronald.clark Here's the relevant bit as far as I understand it:
A whole-body control engineer's day-to-day work is a mix of formulating and tuning constrained optimization problems, debugging why a controller behaves differently on hardware than in simulation, and a surprising amount of time spent on numerical stability and solver performance rather than pure algorithm design.
Re: Anyone done informational interviews at target companies - how did you land them?
Posted: Sun Aug 30, 2026 11:59 am
by karen.chen3
@scott21 Slight correction, though the overall point stands:
A whole-body control engineer's day-to-day work is a mix of formulating and tuning constrained optimization problems, debugging why a controller behaves differently on hardware than in simulation, and a surprising amount of time spent on numerical stability and solver performance rather than pure algorithm design. Companies like Figure, 1X, Apptronik, and Agility Robotics are reportedly pulling senior ROS, controls, and learning engineers directly out of warehouse-automation and industrial-robotics roles - a sign of real talent competition between adjacent industries, not just fresh grads entering the field.
Totally unrelated but has anyone else noticed how fast component costs are dropping this year.
Re: Anyone done informational interviews at target companies - how did you land them?
Posted: Sun Aug 30, 2026 11:59 am
by chenperez
@karen.chen3 Follow-up question though -
A field-deployment or reliability engineer's day-to-day work leans much more toward diagnosing real-world failure patterns, managing spare-parts logistics, and working directly with the customer site than toward algorithm development - a genuinely different role than a lot of new grads expect going in.
Re: Anyone done informational interviews at target companies - how did you land them?
Posted: Sun Aug 30, 2026 11:59 am
by arjunsanchez
I see it a little differently.
A commonly cited skill gap in new-grad applicants is practical systems integration experience - many candidates are individually strong in ML or in mechanical design, but comparatively few have hands-on experience getting perception, planning, and control to work together reliably on real hardware under time pressure.