Compute Integration Engineer

Einride

Göteborgs kommun

On-site

SEK 600,000 - 800,000

Full time

14 days+
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Job summary

Einride is seeking a skilled professional to deploy and stabilize the compute platform for its autonomous vehicles in Gothenburg. You will ensure hardware, network, and software stack integration across all vehicle programs.

The role requires 5+ years of experience in embedded compute platforms, proficiency in Linux, and the ability to perform thermal validation and integration tasks. Join a diverse team committed to sustainability and innovation.

Qualifications

  • 5+ years of experience integrating embedded compute platforms for autonomy, robotics, or ADAS.
  • Strong hands-on experience with Linux on embedded targets: drivers, kernel issues, boot, and networking.
  • Experience with thermal validation, performance sizing, and I/O planning for vehicle or industrial environments.

Responsibilities

  • Integrate and commission edge compute, actuation, and storage systems into vehicles.
  • Define and manage the compute budget to ensure headroom for real-time processing.
  • Verify system behaviour under thermal, EMC, vibration, and power conditions.

Skills

Embedded compute platform integration
Linux on embedded targets
Thermal validation
Performance sizing
Embedded systems containerisation

Tools

NVIDIA DRIVE platforms
Automotive Ethernet
High-performance data loggers

Job description

Your mission is to deploy and stabilise the compute platform for Einride's autonomous vehicles. You will be the bridge that ensures hardware, network, and the Autonomous Drive software stack work reliably together across all vehicle programs.

You will
  • Integrate and commission edge compute, actuation, and storage systems into vehicles, moving from bench/HIL to full‑scale integration.
  • Define and manage the compute budget (CPU, GPU, memory, and storage) to ensure headroom for real‑time processing and data logging.
  • Partner with sensor and network engineers to verify bandwidth, latency, and timing across 20+ sensor inputs.
  • Verify system behaviour under thermal, EMC, vibration, and power conditions on both bench and vehicle.
  • Diagnose root causes for issues spanning hardware, drivers, kernel, and middleware together with suppliers and internal teams.
  • Author commissioning instructions, safety‑case requirements, and verification specifications for all compute components.
We expect you to
  • Have 5+ years of experience integrating embedded compute platforms for autonomy, robotics, or ADAS.
  • Have strong hands‑on experience with Linux on embedded targets: drivers, kernel issues, boot, and networking.
  • Be comfortable working in the lab and on the vehicle, including reading schematics and probing buses.
  • A track record of landing integrations end‑to‑end together with software teams.
  • Experience with thermal validation, performance sizing, and I/O planning for vehicle or industrial environments.
  • Experience evaluating and qualifying hardware suppliers and driving technical resolutions.
Nice to have
  • Experience with NVIDIA DRIVE platforms (Orin, Thor).
  • Knowledge of Automotive Ethernet, managed switches, and PTP.
  • Experience with ruggedised high‑performance data loggers and recording systems.
  • Familiarity with containerisation on embedded systems and OTA constraints.

This is a full‑time position based anywhere in Gothenburg.

You're part of a truly diverse, high‑performing team with a common passion for sustainability and making things happen in an innovative way.

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