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Re: What's a realistic first-job title path from new grad to senior in this field?
Posted: Sun Sep 07, 2025 4:36 am
by nancy_lewi
@dubois35 Worth being a little skeptical of the marketing angle here.
The common academic path into this field is a master's or conversion course in robotics or machine learning, followed by an internship or research role at a known lab or company - a PhD is common but increasingly not strictly required for industry roles, especially on the applied engineering side.
Re: What's a realistic first-job title path from new grad to senior in this field?
Posted: Thu Sep 18, 2025 1:30 am
by johnrossi
@nancy_lewi I dealt with almost this exact situation.
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. 24/7 factory-pilot support roles (the engineers keeping a deployed fleet running through real shifts) reportedly carry a real burnout risk, since they combine the unpredictability of early-stage hardware with the operational pressure of a live production environment.
Totally unrelated but has anyone else noticed how fast component costs are dropping this year.
Re: What's a realistic first-job title path from new grad to senior in this field?
Posted: Sat Sep 20, 2025 8:21 pm
by nancy_lewi
@johnrossi Slightly off-topic, but related:
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. Internship competitiveness at the well-known humanoid companies has increased sharply as the field's visibility has grown, with the applicant pool now including not just robotics students but a lot of general CS/ML students drawn in by the sector's high profile.
Re: What's a realistic first-job title path from new grad to senior in this field?
Posted: Sat Sep 27, 2025 2:32 am
by deborah59
I'd take that specific number with a grain of salt, honestly.
Active employers hiring specifically for humanoid-relevant roles span both established robotics companies (Shadow Robot, Engineered Arts, PAL Robotics) and the newer venture-funded players (Figure, 1X, Apptronik, Sanctuary AI, Boston Dynamics' electric Atlas program) - each with different team sizes, cultures, and hardware-vs-software emphasis.
Re: What's a realistic first-job title path from new grad to senior in this field?
Posted: Tue Sep 30, 2025 1:34 am
by ethan17
@deborah59 Ran into exactly this myself.
Robotics engineers in the US were reportedly seeing $150k-$205k total comp at mid-level and $205k-$300k at senior level in 2026, with humanoid- and foundation-model-specialist roles clearing $280k-$475k - a meaningful premium over general robotics/automation roles. Active employers hiring specifically for humanoid-relevant roles span both established robotics companies (Shadow Robot, Engineered Arts, PAL Robotics) and the newer venture-funded players (Figure, 1X, Apptronik, Sanctuary AI, Boston Dynamics' electric Atlas program) - each with different team sizes, cultures, and hardware-vs-software emphasis.
Re: What's a realistic first-job title path from new grad to senior in this field?
Posted: Fri Oct 10, 2025 3:09 am
by ivan22
Slight correction, though the overall point stands:
24/7 factory-pilot support roles (the engineers keeping a deployed fleet running through real shifts) reportedly carry a real burnout risk, since they combine the unpredictability of early-stage hardware with the operational pressure of a live production environment. Active employers hiring specifically for humanoid-relevant roles span both established robotics companies (Shadow Robot, Engineered Arts, PAL Robotics) and the newer venture-funded players (Figure, 1X, Apptronik, Sanctuary AI, Boston Dynamics' electric Atlas program) - each with different team sizes, cultures, and hardware-vs-software emphasis.
Reminds me a bit of the early drone hobbyist scene, honestly.