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Staff Embedded Engineer

VOI - Location not specified

Posted Jun 12, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Market context

Median wage (BLS OEWS)
$111,944 national median
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

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Weekend work
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Application

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Assessment
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Deadline
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Where they hire

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About this role

Staff Embedded Engineer YOUR MISSION AT VOI We operate one of the world's largest connected micromobility fleets, with close to 200,000 vehicles across multiple hardware generations, vehicle models and markets - and we will keep scaling significantly in the coming years. As our fleet grows in scale and complexity, firmware reliability, platform architecture, and operational robustness become increasingly critical to the business. Ultimately, your work ensures that every Voi vehicle feels safe, reliable and effortless to use - even after years of real‑world use, rough weather, and everyday wear and tear. We are now looking for a deeply experienced Staff Embedded Engineer to help lead the next generation of our vehicle and IoT platform. In this highly hands-on technical leadership role you will shape the long‑term embedded platform strategy and architecture, and work across teams, suppliers and partners to make sure our vehicles are consistently reliable. You will, among other things: - Translate rider and operator needs into platform‑level design decisions, ensuring our vehicles are intuitive to use, reliable over years in the field and straightforward for local teams to operate and maintain. - Architect and evolve a large‑scale distributed embedded platform spanning vehicle control systems, battery‑powered IoT devices and multi‑MCU/MPU platforms (including Zephyr / Linux‑capable systems). - Develop and scale platforms capable of hosting multiple ML models on‑edge based on computer vision and other sensors. - Drive the evolution of fleet‑wide OTA infrastructure, remote diagnostics and observability for hundreds of thousands of devices across 100+ cities in Europe. -

Read the full description at careers.voi.com. FewerJobs shows a source-linked preview and links to the original posting.

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