Mechanical Engineer (Robots/Hardware/Fullstack)

DADACONSULTANTS PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

DADACONSULTANTS PTE. LTD. is hiring a hands-on mechanical engineer to own the design, analysis, and validation of structural and kinematic systems for a next‑generation humanoid platform.

You will shepherd components from concept to production, work with joints, actuators, enclosures, and structural members, and collaborate with firmware/electrical teams to ensure integrability and serviceability.

Qualifications

• Minimum 3 years of hands-on mechanical design experience from concept through production.
• Strong SolidWorks capability across detailed parts, assemblies, surfaces and drawings; includes sheet metal fabrication and AM/Traditional manufacturing.
• 2D engineering drawings with GD&T for manufacturing and QA handoff.
• Ability to run and interpret FEA simulations (static/dynamic/thermal) to guide design under cost/weight constraints.
• Experience with material selection, actuator/fastener selection, and mechanism design; rapid prototyping methods (FDM, SLA, CNC, laser cutting).
• Bonus: experience with humanoid robot hardware, bipeds, or high-DOF manipulators.
• Bonus: scripting in Python to automate CAD/data workflows.
• Bonus: plastics engineering background and sim-to-real workflows.

Responsibilities

• Design and develop mechanical assemblies across a full humanoid body, including joints, actuators, sensor mounts, and structural members
• Produce 3D parts, drawings, and assembly models across plastics, metals, and composites using SolidWorks or equivalent CAD platforms
• Set up and run hands-on test rigs for load testing, fatigue cycling, thermal soak, and kinematic validation
• Perform DFM reviews with contract manufacturers and on the production floor to address tooling, cycle times, and failure modes
• Create and maintain production drawings with GD&T and inspection callouts for handoff to manufacturing and QA teams
• Instrument test stands, wire sensors, and collect data to analyze failure modes and drive design improvements
• Coordinate with firmware and electrical teams to integrate actuators, sensors, and PCBs, ensuring wiring/cable routing/serviceability
• Contribute to open-source hardware docs, CAD releases, BOM docs, manufacturing guides, and assembly instructions

Skills

FEA analysis

Python scripting

Material selection

Mechanism design

Rapid prototyping

Tools

SolidWorks

GD&T

3D printing

CNC machining

Sheet metal fabrication

Additive manufacturing

Job description

Our client is an applied R&D company building an open-source humanoid robot platform and the full software stack that powers it, with a mission to make humanoid labour economically viable at scale. The team develops across the complete technical stack - spanning hardware architecture, locomotion, autonomy, simulation, and infrastructure - and ships directly to physical robots.

This is an opportunity for a hands‑on mechanical engineer to own the design, analysis, and validation of structural and kinematic systems that bring a next‑generation humanoid platform to life. You will take components from early concept through production‑ready hardware, working across joints, actuators, enclosures, and structural members. If you want your work to have tangible real‑world impact beyond a research paper or prototype demo, this role offers exactly that environment.

Key Responsibilities

• Design and develop mechanical assemblies across a full humanoid body, including joints, actuators, sensor mounts, and structural members
• Produce detailed 3D parts, drawings, and assembly models across plastics, metals, and composite materials using SolidWorks or equivalent CAD platforms
• Set up and run hands‑on test rigs covering load testing, fatigue cycling, thermal soak, and kinematic validation across body segments
• Execute Design for Manufacturability (DFM) reviews alongside contract manufacturers, engaging directly on the production floor to understand tooling constraints, cycle times, and failure modes
• Create and maintain production drawings with GD&T and inspection callouts for handoff to contract manufacturers and quality assurance teams
• Instrument test stands, wire sensors, and collect data to analyse failure modes and drive iterative design improvements
• Coordinate with firmware and electrical engineering teams to physically integrate actuators, sensors, and PCBs into mechanical assemblies, ensuring cable routing, connector access, and serviceability are fully considered
• Contribute to open‑source hardware documentation efforts, including CAD releases, bill‑of‑materials documentation, manufacturing guides, and assembly instructions for the broader robotics community

Requirements

• Minimum 3 years of hands‑on mechanical design experience on high‑complexity electromechanical products , with a strong track record from concept through production
• Strong proficiency in SolidWorks across detailed parts, multi‑body assemblies, surfacing, and engineering drawings; experience with sheet metal fabrication and traditional or additive manufacturing processes
• Solid experience producing 2D engineering drawings with GD&T for manufacturing and quality assurance handoff
• Ability to run and interpret FEA simulations (static, dynamic, and thermal) to inform and validate design decisions under aggressive cost and weight constraints
• Demonstrated hands‑on experience with material selection, actuator and fastener selection, and mechanism design; proficiency in rapid prototyping methods including FDM, SLA, CNC machining, and laser cutting
• Experience with bipedal or humanoid robot hardware, legged locomotion platforms, or high‑degree‑of‑freedom manipulators (is a bonus)
• Familiarity with parallel mechanisms and non‑standard joint configurations (is a bonus)
• Scripting experience in Python to automate CAD workflows or data analysis pipelines (is a bonus)
• Background in plastics engineering including material selection, shrinkage factors, and mechanical property optimisation (is a bonus)
• Familiarity with sim‑to‑real workflows and how hardware design decisions affect locomotion policy training and transfer (is a bonus)