What's a realistic 90-day plan for a new grad joining a humanoid team?

Getting into the field, degree paths, labs, papers, internships, and career/salary discussion.
nancy_lewi
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Re: What's a realistic 90-day plan for a new grad joining a humanoid team?

Post by nancy_lewi »

@barbara50 That's the official framing, at least - reality tends to lag a bit. 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.
"Torque is a lifestyle."
scott.andersson5
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Re: What's a realistic 90-day plan for a new grad joining a humanoid team?

Post by scott.andersson5 »

I dealt with almost this exact situation. 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. 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.
mia.weber
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Re: What's a realistic 90-day plan for a new grad joining a humanoid team?

Post by mia.weber »

@scott.andersson5 Counterpoint: 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.
nicole57
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Re: What's a realistic 90-day plan for a new grad joining a humanoid team?

Post by nicole57 »

@mia.weber Minor factual note: 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. A strong, well-documented personal project (even a modest DIY build or a solid simulation-based RL project) reportedly carries real weight in hiring for this field, partly because the field is young enough that a demonstrated hands-on track record can meaningfully substitute for a less-relevant formal credential.
she/her | grad student, biped locomotion
ssantos
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Re: What's a realistic 90-day plan for a new grad joining a humanoid team?

Post by ssantos »

@nicole57 From hands-on experience, How much ML background a controls role actually requires varies a lot by company and team - some whole-body control positions remain heavily classical-optimization-focused, while others increasingly expect familiarity with reinforcement learning or imitation learning even for what used to be a purely classical-controls job.
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ssantos
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Re: What's a realistic 90-day plan for a new grad joining a humanoid team?

Post by ssantos »

This lines up with my experience. 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.
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george92
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Re: What's a realistic 90-day plan for a new grad joining a humanoid team?

Post by george92 »

Here's the relevant bit as far as I understand it: 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.
she/her | grad student, biped locomotion
dchen
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Re: What's a realistic 90-day plan for a new grad joining a humanoid team?

Post by dchen »

@george92 This is a great summary, thanks. 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.
servoken70
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Re: What's a realistic 90-day plan for a new grad joining a humanoid team?

Post by servoken70 »

@dchen Not sure I fully agree here. 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. 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.
Watching this space closely since 2019.
barbara50
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Re: What's a realistic 90-day plan for a new grad joining a humanoid team?

Post by barbara50 »

Appreciate the detailed answer. 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. 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.
Opinions my own, not my employer's.
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