Why pre-screen robotics engineers before the onsite panel and hardware lab visit
A robotics onsite is expensive: you pull a controls lead, a perception lead, and a safety engineer off the floor for half a day, often plus a lab session with real hardware. Resumes list ROS2, Gazebo, and PyTorch identically whether the person deployed twelve cells or finished a coursework simulation. A ten minute screen surfaces which layer they truly own, whether their systems ran unattended in production, and how they behave when the root cause is a loose connector rather than a bad controller gain.
What actually matters when screening Advanced Robotics Engineer candidates
- 01
Technical depth
Probe the specific layer they own: kinematics, control, perception, or manipulation, and the theory behind it.
- 02
Work that shipped
Look for robots that ran outside a demo: deployed cells, fielded units, or systems in continuous operation.
- 03
Diagnosis under uncertainty
Test how they debug a system where mechanical, electrical, and software causes all look identical from the outside.
- 04
Working across the org
Check how they work with operations and safety when an autonomous system shares space with people.
Pre-screening questions to ask Advanced Robotics Engineer candidates
12 questions grouped by what they test. Ask the same set in every screen and score answers on a consistent scale, or send them as an async video screen and compare answers side by side.
Technical depth
4 questions01Which layer of the stack do you personally own, and how deep does your experience with ROS or ROS2 go?
Listen forThey name one layer (kinematics, control, perception, manipulation) and get concrete about ROS2 internals: DDS tuning, executors, lifecycle nodes, real-time constraints.
They claim equal expertise across every layer and describe ROS only as nodes and topics.
02Walk me through your experience with control systems on a robot: what did you tune, and how did you know it was right?
Listen forSpecific loops and methods: PID or impedance control, feedforward terms, gain tuning against step response, settling time, overshoot limits, and cycle time targets.
They describe control as adjusting values until the motion looked smooth, with no measurement or model.
03How do you approach designing algorithms for robotic perception, and where do your pipelines usually break?
Listen forThey discuss sensor noise, calibration, lighting or reflectivity failures, false positive rates, and what threshold they set for handing off to a human.
They only name model architectures and datasets with nothing about failure modes in the real environment.
04What sensors have you integrated onto a robot, and what surprised you about one of them in the field?
Listen forNamed hardware (LiDAR, depth cameras, force-torque, encoders, IMUs) plus real integration problems: timing sync, extrinsic calibration, EMI, dust, or temperature drift.
A list of sensor names with no mention of calibration, synchronisation, or environmental interference.
Work that shipped
3 questions05Describe a project where you worked with autonomous navigation systems. How many units ran, and for how long?
Listen forDeployed counts, run hours, site conditions, uptime or intervention rate, and who maintained the fleet after handover.
The project ended at a demo or paper, with no numbers on units, hours, or interventions.
06Tell me about a project where you used SLAM. What made localisation fail, and what did you change?
Listen forA named approach (Cartographer, ORB-SLAM, factor graph) plus concrete failure causes: feature-poor corridors, loop closure errors, wheel slip, dynamic obstacles.
They describe SLAM at textbook level without a single failure they diagnosed themselves.
07Can you discuss a time you optimised the performance of a robotic system? What was the before and after number?
Listen forA measured metric moved: cycle time, pick rate, path length, CPU or latency budget, energy per unit, with the trade-off they accepted.
Improvement is described as faster or more reliable with no baseline and no measurement.
Diagnosis and safety
4 questions08Describe a time you had to troubleshoot a malfunctioning robot where the cause could have been mechanical, electrical, or software. What did you do first?
Listen forAn ordered isolation strategy: reproduce, log capture, bisect the signal chain, swap a known-good part, verify with an oscilloscope or rosbag before changing code.
They jump straight to a software fix or blame another team without isolating the fault.
09How do you ensure the safety and reliability of a robot that shares space with people?
Listen forNamed standards and mechanisms: ISO 10218, ISO/TS 15066, risk assessment, safety-rated monitored stop, speed and separation monitoring, safety PLC, dual-channel E-stop.
Safety is presented as thorough testing and good code, with no standard, hazard analysis, or certified stop path.
10What is your experience with collaborative robots, and how did you work with operations and safety staff on the floor?
Listen forConcrete collaboration: joint risk assessments, operator training, layout changes agreed with production, and workarounds operators invented that they had to design around.
They treat operators and safety reviewers as obstacles or say the integrator handled all of that.
11What methods do you use for testing and validating robotic algorithms before they touch real hardware?
Listen forSimulation in Gazebo, Isaac Sim or similar, replay against recorded rosbags, hardware-in-the-loop rigs, regression suites, and a clear view of where sim diverges from reality.
Validation happens only on the real robot, or they claim simulation results transferred without adjustment.
Availability and logistics
1 question12Pick one artefact from a real robot you worked on, a rosbag, a plot, a URDF, or a cell layout, and walk me through it for about ninety seconds.
Listen forThey share something real, orient you quickly, point at the specific signal or geometry that mattered, and state what they changed as a result.
They offer only marketing slides or a generic architecture diagram they cannot explain line by line.
How to score responses
Score every candidate on the same four criteria immediately after the screen. At this stage you are shortlisting for panel interviews, not making the final call.
Technical depth
35%5Deep command of their layer, from control theory through to the hardware it runs on.
Work that shipped
30%5Names robots that ran in production or the field, with uptime, throughput, or accuracy figures they owned.
Diagnosis under uncertainty
20%5Isolates across mechanical, electrical, and software layers methodically, with a real root-cause story.
Working across the org
15%5Works closely with operations and safety on human-robot interaction, and documents the reasoning.
Robotics answers depend on how someone reasons out loud about a fault they cannot see. Async video lets you hear them narrate a rosbag, a plot, or a cell layout, and watch whether they separate symptom from cause.
Try it on HirevireScreening FAQ
Process basics
How many questions should a robotics engineer pre-screen include?
Eight to ten works for this role. Robotics answers run long because candidates need to describe hardware, software, and the environment, so cap the recording at two or three minutes per question. Ten questions at that length gives you roughly twenty minutes of evidence, which is enough to decide on the panel without booking lab time first.
Should I ask a robotics engineer to do a coding test at the screening stage?
No, save the coding test for later. At the screen, ask them to walk through a real artefact instead: a rosbag they debugged, a URDF they wrote, a state machine for a pick cell. Reviewing how they narrate their own work costs you five minutes and predicts panel performance better than an early algorithm puzzle.
Evaluating answers
How can I tell if a robotics candidate only worked on demos?
Listen for what happened after week one of deployment. People who shipped talk about drift, dust on lenses, thermal derating, cycle time regression, spare parts, and operator workarounds. Demo-only candidates describe the architecture and the launch event, then stop. Ask directly how many units ran, for how long, and who maintained them.
What does a good answer about robot safety sound like?
A good safety answer names specific standards and mechanisms: ISO 10218 or ISO/TS 15066 for collaborative cells, risk assessment, safety-rated monitored stop, speed and separation monitoring, dual-channel E-stops, safety PLCs. Weak answers describe safety as careful coding or extra testing, with no mention of a hazard analysis, an assessor, or a certified stop path.
Go deeper on this role
Sanat has been hiring since 2012 and watching the recruitment industry change up close ever since, and turned that screening process into Hirevire's video screening platform. LinkedIn
