Compute Integration Engineer

Einride SWE; Göteborgs kommun; On-site; SEK 45,000 - 70,000; Full time

Job summary

Einride SWE in Gothenburg is seeking a skilled engineer to deploy and stabilize compute platforms for autonomous vehicles. Your role involves integrating systems and ensuring reliable operation across vehicle programs.

The ideal candidate should have over 5 years of experience with embedded compute platforms, strong Linux skills, and be able to work on vehicles. This full-time position offers the opportunity to drive innovation in road freight transformation.

Qualifications

• 5+ years of experience integrating embedded compute platforms for autonomy, robotics, or ADAS.
• Strong hands-on experience with Linux on embedded targets, including drivers and kernel issues.
• Comfortable working in the lab and on vehicles, capable of reading schematics.

Responsibilities

• Integrate and commission edge compute, actuation, and storage systems into vehicles.
• Define and manage the compute budget for real-time processing.
• Partner with engineers to verify sensor input performance.

Skills

Embedded compute integration

Linux on embedded targets

Hardware integration

Thermal validation

Tools

NVIDIA DRIVE platforms

Automotive Ethernet

Job description

Want to be part of transforming road freight - for good? Einride is showing the world a new way to move, based on the latest digital, electric and autonomous technologies. Through freight capacity as a service, we enable businesses around the world to accelerate towards their sustainability goals.

Your mission is to deploy and stabilize 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 program.

Responsibilities

• 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 behavior 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.

Qualifications

• 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 ruggedized high-performance data loggers and recording systems.
• Familiarity with containerization on embedded systems and OTA constraints.

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