Join Razor Labs, a leader in the mining tech sector, specializes in predictive maintenance with our flagship product, DataMind AI™. Our AI Sensor Fusion technology forecasts equipment failures, enhancing operational efficiency and safety.

Publicly traded on the Tel Aviv Stock Exchange, we have a strong presence in key mining regions, including Australia and South Africa, where our solutions have driven significant improvements.

As part of our team, you’ll collaborate with the brightest minds, tackling the most complex problems and shaping the future of industrial technology. Together, we can build smarter, greener and safer industries of tomorrow.

Current Job Openings

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Senior Manufacturing & NPI Engineer (Prototype to Low-Volume)

Israel

About The Position

Razor Labs builds manufacturing lines for its own hardware. We're looking for a hands-on systems engineer to lead prototyping and low-volume assembly (tens to hundreds of units) — taking hardware from first builds to a repeatable process, designed with scale-up and BOM cost in mind.

Responsibilities 

  • Lead prototype and pilot builds; turn lessons into a repeatable assembly process.
  • Plan assembly flows, fixtures/jigs, and the right (minimal) automation — engineering simplicity first.
  • Own the project plan (Gantt) and budget; design for scale-up with BOM cost awareness and DFM feedback to R&D.
  • Define test and inspection strategy, including environmental testing where needed.
  • Measure and improve yield and rework with data; work daily with R&D, production, and vendors on the floor.


Requirements

  • B.Sc. in Electrical Engineering or related field.
  • 7+ years of proven hands-on experience in manufacturing/NPI of electro-mechanical products.
  • Experience taking hardware from prototype to production, even at low volumes.
  • Automation and tooling know-how (fixtures, PLCs, sensors) — and the judgment of when not to automate.
  • Applied statistics and SW tools: Gantt/project planning, advanced Excel, data analysis (Minitab/JMP/Python or similar).
  • Practical experience with AI tools (ChatGPT, Claude) for work automation — building workflows, agents/skills, and using them to accelerate engineering tasks.
  • Budget ownership and vendor procurement experience.
  • Excellent interpersonal skills.
  • Excellent English, written and spoken.
  • Problem-solver with a can-do attitude — takes ownership and gets things built.


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