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.
- 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.
Skills Required
- B.Sc. in Electrical Engineering or related field
- 7+ years hands-on manufacturing/NPI experience with electro-mechanical products
- Proven experience taking hardware from prototype to production (low volumes)
- Automation and tooling know-how (fixtures, PLCs, sensors) and judgment on when not to automate
- Applied statistics and software tools: Gantt/project planning, advanced Excel, data analysis (Minitab/JMP/Python or similar)
- Practical experience with AI tools (ChatGPT, Claude) for work automation and building workflows/agents
- Budget ownership and vendor procurement experience
- Excellent interpersonal skills; excellent written and spoken English
- Problem-solver with ownership mentality and ability to get things built
What We Do
Razor Labs' Sensor Fusion-based Predictive Maintenance solutions are helping mining industry leaders minimize equipment failure, avoid downtime, and increase equipment reliability. By integrating data from multiple sensors such as cameras, oil, vibration, pressure, temperature, and current sensors, we not only predict equipment failures but can also identify the root causes of impending failures accurately. Our predictive maintenance solutions drive value for mining companies, mitigating unplanned downtime, enhancing productivity, reducing emissions, and improving staff safety. Razor Labs is publically traded on the Tel Aviv stock exchange and has offices in Perth, Sydney, and Tel Aviv. Razor Labs solutions are implemented at numerous mining sites in Western Australia and South Africa. Our commitment to excellence has been recognized by industry experts, with CB Insights naming us one of the leading mining tech companies. As a leading mining tech company publicly traded on the Tel Aviv Stock Exchange, Razor Labs operates globally with offices in Perth, Sydney, and Tel Aviv. Our commitment to excellence is evident in successful implementations at mining sites in Australia and South Africa, recognized by CB Insights.
