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Opensynergy.jobs.personio.de

Embedded Engineer (m/f/d)

  • Seen live on Opensynergy.jobs.personio.de's site 2 days ago
  • Mid level
Pay
Not stated
Location
BER
Open for
13+ days
First seen
Oct 23, 2026

Posting record

No flags

Open 13+ days

The posting's record, oldest first
  1. Opensynergy.jobs.personio.de's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Opensynergy.jobs.personio.de, so its true age is longer.

Last checked Nov 2, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

Your mission

  • Design and build the on-device collector that captures high[1]frequency telemetry, diagnostics, and operational-state signals directly from vehicle networks and robot middleware.Â
  • Implement edge data integrity at capture: time synchronization and cryptographic signing, so data is tamper-evident from the moment it leaves the device.Â
  • Build buffering and secure transport that survive intermittent connectivity without losing events, within tight on[1]vehicle resources.Â
  • Own on-device data minimization and filtering so the platform meets obligations before data ever leaves the vehicle.Â
  • Port and harden the collector across OEM platforms and devices running on safety-critical hardware.

Your profile

  • 5+ years building embedded or edge software in C++, or Rust is a must.Â
  • Deep experience with automotive or robotics software platforms: AUTOSAR Adaptive, embedded Linux, ROS 2, and vehicle networks.Â
  • Strong grasp of resource-constrained, real-time systems: memory and CPU budgets, deterministic behavior, concurrency, and low-level debugging.Â
  • Experience moving data from edge to cloud under intermittent connectivity.Â
  • Practical security and reliability engineering on embedded targets.Â

PreferredÂ

  • Automotive or robotics safety and security standards exposure: ISO 26262, ISO/SAE 21434, UNECE R155/R156.Â
  • Time-synchronization, sensor and perception data, or battery/BMS telemetry experience.Â

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