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Robotics

Perception, control and physical hardware, one of the most demanding corners of AI to hire for. Part of our Machine Learning & Generative AI discipline, we work with researchers and engineers building robotic systems from early-stage labs through to production at scale.

Robotics jobs

Hiring in Robotics isn't like other technical hiring.

Robotics hiring spans mechanical, controls, perception and machine learning skill sets that rarely fit a single job template, and the people who can bridge them are usually already deep in a role, publishing at the field's leading conferences, or embedded in a hardware team that rarely posts roles publicly.

At Enigma, we track the researchers and engineers behind the systems being built and published, so when a search opens up, we're not starting from a keyword search.

ICRA
IROS
CoRL
RSS

Many of the teams we support here are also hiring across Computer Vision and ML Infrastructure, so we're used to building the fuller picture of a team, not just filling a single seat.

Start a Search

What a Good Partnership Looks Like

We work best as a close, informed extension of your team, not a CV-forwarding service.

Define the Brief

Align on what "great" actually looks like, whether that's a first robotics engineer or a controls research lead.

Map the Market

Understand who's active in robotics right now, across hardware-native startups, industrial AI teams and adjacent perception groups.

Focused Search

Target the right people, not more people, drawing on relationships built at ICRA, IROS and CoRL.

Guide the Process

Keep momentum, clarity and alignment from first call through to offer stage.

Deliver & Refine

Secure the hire, then refine the approach for next time so every search gets sharper.

Trusted across the ecosystem

Trusted across the Robotics ecosystem Trusted across the Embodied AI ecosystem Trusted across the Autonomous Systems ecosystem Trusted across the Applied Robotics ecosystem

FAQs

Yes. Robotics teams rarely succeed on software alone, so alongside perception, controls and ML engineers, we also place mechanical and electrical engineers where the search calls for it.

Simulation experience is valuable, but it's not the same as debugging a system on physical hardware under real-world conditions. We probe specifically for sim-to-real experience and flag where a candidate's background is simulation-only, so you can factor that into the decision.

Startups usually need generalists who can move between disciplines and tolerate ambiguity, while established players can hire more narrowly into a defined role. We calibrate the search, and the interview process, around which of those you actually are.

Yes, this comes up often in robotics, where a hardware lab means the role can't be remote. We factor relocation willingness into qualification early, so you're not losing weeks to a candidate who was never going to move.

For roles where failure has physical consequences, whether that's a warehouse robot or an autonomous vehicle, we weight track record and rigour as heavily as raw technical skill, and we're upfront with clients about where a candidate's experience does or doesn't cover safety-critical systems.

Not ready to submit a brief?

Let's just talk it through. Tell us what you're building and we'll help you work out what the hire actually looks like.

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Locations

UK Office
St Albans
Eleanor Ormerod House,
Victoria St, AL1 3LT

US Office
Austin, TX
9901 Brodie Lane,
Suite 160 PMB1553

Contact Us

UK +44 2080 890 188
US +1 737 225 3237
hello@enigma-rec.ai

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