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Advisory Mechanical Hardware Engineer

Job in Boulder, Boulder County, Colorado, 80301, USA
Listing for: Ricoh USA, Inc.
Full Time position
Listed on 2026-06-23
Job specializations:
  • Engineering
    Automation & Mechatronics Engineer, Robotics, Systems Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Advisory Mechanical / Hardware Engineer

Ricoh USA — Boulder R&D

About

The Role

Versatile hardware engineer for a small Boulder R&D team working across inkjet, robotics, machine vision, and renewable energy programs. You’ll contribute to mechanical and electromechanical design from benchtop proof‑of‑concept through production hardware, including:

  • A renewable energy program advancing next‑generation solar cell manufacturing
  • A UR‑based collaborative palletizing system on a path to CE marking and contract manufacturing
  • Continuous‑feed inkjet inspection platforms and their expansion across our automation product roadmap

When mechanical workload ebbs, you’ll flex into software:
Python and C++ for robotics, image processing, and high‑throughput image processing pipelines. We use Claude Code for software and hardware work — comfort with agentic AI tooling is a real differentiator.

What You’ll Do
  • Contribute to mechanical/electromechanical design end‑to‑end: idea → concept → POC → DVT → production hardware
  • Design EOAT, base frames, electrical and pneumatic systems for robotics and automation
  • Design industrial control panels, cable harnesses, and enclosures — component selection, circuit design, panel layout, routing, and grounding
  • Scope and ship one‑off / bespoke automation builds — purpose‑built rigs and process automation where you own the design from ambiguous brief to working hardware
  • Build robust optical/imaging fixtures (lighting, motion, alignment) for inline inspection systems
  • Generate manufacturing‑ready documentation: 3D CAD, electrical schematics, BOMs, assembly/work instructions, test protocols
  • Partner with software/controls on integration: motion/vision triggers, sensor interfaces, PLC and robot controller communications
  • Contribute to safety and certification work: risk assessment, Performance Level analysis, CE marking, EMC/LVD/RoHS, and US NRTL paths where applicable
  • Flex into hardware‑adjacent applied software when HW workload is light
Required Qualifications
  • BS in Mechanical Engineering or closely related field; MS a plus
  • Demonstrated track record of delivering multiple complex electromechanical products from POC through production — as a key contributor, not a peripheral one
  • Proficiency in 3D CAD (NX, Solidworks, or equivalent) and electrical schematic tools (AutoCAD Electrical, EPLAN, or equivalent)
  • Sheet metal and machined part design experience — DFM for bending, machining, and assembly; GD&T; experience working directly with fab shops
  • Hands‑on with EOAT/gripper design, pneumatics, motion systems, sensors, and control‑cabinet design and wiring
  • Python or C++ for embedded/robotic systems;
    Linux proficiency
  • Experience with machine vision / imaging hardware integration (cameras, lighting, lensing, calibration)
  • Strong systems thinking; thrives in a fast‑moving, multi‑project R&D environment
Highly Desired
  • Robotics software: ROS 2 (Move It 2, ROS 2 Control, TF2), UR programming (URCaps, safety configuration, controller integration)
  • Bespoke / one‑off automation experience — integrator‑style builds, purpose‑built machines for a single customer or process (vs. high‑volume catalog products)
  • Product certification: CE/UKCA, UL/CSA/NRTL, EMC pre‑compliance; EU Machinery Regulation 2023/1230
  • Advanced vision & compute:
    Stereo/RGB‑D (6

    DoF pose, object detection), high‑throughput image processing pipelines, GPU acceleration
  • Contract‑manufacturing transfer: documentation packages, quality systems, production handoff
  • Precision equipment industry: inkjet, semiconductor, thin‑film, or web/roll‑to‑roll manufacturing environments
  • Agile / Scrum: sprint planning, backlog grooming, iterative delivery
Mindset
  • Comfortable navigating loosely‑defined problems and shipping working hardware without a fully spec'd brief
  • Embraces shifting priorities — focus moves between programs as priorities shift
  • Equally strong working independently and as part of a small team
  • Comfortable with AI coding tools and willing to explore emerging AI‑assisted engineering workflows
Working Conditions, Mental and Physical Demands
  • Cope with stressors and demands that are associated with the job and/or the work environment so that acceptable and defined levels of…
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