Application Guide

How to Apply for Senior Perception Engineer, Autonomous Technologies

at Einride

🏢 About Einride

Einride is uniquely positioned as a pioneer in electric and autonomous freight transport, combining hardware, software, and services to create a complete ecosystem for sustainable logistics. Unlike traditional automotive companies, Einride builds both the autonomous technology and the electric vehicles (like their Pods) from the ground up, offering engineers the rare chance to influence the full stack. Working here means directly contributing to eliminating emissions from one of the world's largest polluting industries—a mission-driven environment for those passionate about climate tech and real-world impact.

About This Role

As a Senior Perception Engineer at Einride, you'll be at the core of developing the 'eyes' of their autonomous freight vehicles, tackling challenges like sensor fusion in harsh weather, 3D object detection for trucks and trailers, and ensuring safety in dynamic highway/industrial environments. This role is impactful because your algorithms will directly enable the deployment of emission-free, driverless transport solutions, moving beyond research into production systems that handle real cargo. You'll bridge cutting-edge research with robust engineering to solve perception problems critical for commercial-scale autonomous operations.

💡 A Day in the Life

A typical day might start with reviewing sensor data from overnight tests of Einride's Pods, debugging a multi-modal fusion algorithm for better detection in foggy conditions, then collaborating with the Localization team to align perception outputs for planning. In the afternoon, you could be implementing a new 3D tracking module in C++, validating its performance against safety metrics, and meeting with System Engineering to discuss integration into the next software release for deployment.

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Interview Prep

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🎯 Who Einride Is Looking For

  • Holds a PhD or exceptional MS in Robotics/CS/AI with 3-5+ years of hands-on experience specifically in perception for autonomous vehicles (not just general computer vision), demonstrated through publications, patents, or shipped products.
  • Has deep, practical expertise in multi-modal sensor fusion (e.g., lidar, radar, camera) and 3D object detection/tracking, with a portfolio of solving real-world problems like sensor degradation or occlusion in dynamic settings.
  • Possesses strong C++/Python skills for implementing efficient, safety-critical perception algorithms, coupled with a rigorous foundation in linear algebra and algorithm design to optimize for real-time performance.
  • Is a collaborative problem-solver who thrives in cross-functional teams (e.g., with System Engineering, Localization) and is motivated by Einride's mission to decarbonize freight transport.

📝 Tips for Applying to Einride

1

Tailor your resume to highlight specific perception projects (e.g., sensor fusion, 3D detection) in autonomous vehicle contexts—mention metrics like accuracy, latency, or deployment scale, and link to code (GitHub) or papers if possible.

2

Research Einride's specific technology stack (e.g., their Pod vehicles, sensor suites) and mention how your experience aligns with their focus on freight/logistics environments, not just passenger cars.

3

Emphasize any experience with safety-critical systems or production deployment (e.g., ISO 26262, validation pipelines), as Einride prioritizes deployable solutions over pure research.

4

In your application, use keywords from the job description like 'multi-modal sensor fusion,' 'complex dynamic environments,' and 'production-ready' to pass initial screenings by recruiters or ATS.

5

Network with Einride engineers on LinkedIn or at autonomous vehicle conferences—they value mission-aligned candidates, and a referral could highlight your fit for their sustainability focus.

✉️ What to Emphasize in Your Cover Letter

["Explain why Einride's mission to create emission-free freight resonates with you, linking it to your career goals in autonomous tech for sustainability.", "Detail a specific perception challenge you've solved (e.g., improving tracking in rain, fusing lidar/radar for trucks) and how it prepares you for their work in complex dynamic environments.", 'Highlight your experience with cross-functional collaboration, especially with teams like System Engineering or Localization, to show you can integrate perception into a full autonomous stack.', "Mention any familiarity with Einride's public projects (e.g., their autonomous Pod deployments in Europe/US) to demonstrate genuine interest and research."]

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Study Einride's technology demos and case studies (e.g., their autonomous Pod operations in Sweden or with GE Appliances) to understand their current perception capabilities and deployment challenges.
  • → Review their leadership team's backgrounds and public talks (e.g., CEO Robert Falck) to grasp the company's vision for autonomous, electric freight and how perception fits in.
  • → Explore their blog and press releases for technical insights, such as sensor setups on their vehicles or partnerships (e.g., with NVIDIA), to tailor your application to their stack.
  • → Look into the competitive landscape (e.g., Waymo Via, TuSimple) to understand Einride's niche in electric autonomous trucks and how you can contribute to their differentiation.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Deep-dive into your past perception projects: Expect questions on sensor fusion architectures you've designed, how you handled sensor failure scenarios, or metrics for 3D object detection in cluttered scenes.
2 Technical problem-solving: You might be asked to design a perception system for Einride's Pod in a specific scenario (e.g., highway construction zone) or optimize an algorithm for real-time constraints.
3 Safety and validation: Discussions on how you ensure perception algorithms are safe for deployment, including testing methodologies, redundancy, or experience with industry standards.
4 Cross-functional collaboration: Scenarios on working with localization/planning teams to resolve conflicts (e.g., when perception and localization outputs disagree) or integrating your work into a larger system.
5 Company and mission fit: Questions about why you want to work at Einride specifically, your thoughts on autonomous freight, and how you stay updated on perception research (e.g., CVPR, RSS papers).
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⚠️ Common Mistakes to Avoid

  • Submitting a generic resume that lists general computer vision experience without emphasizing autonomous vehicle perception, sensor fusion, or safety-critical systems—this role requires niche expertise.
  • Failing to mention Einride's mission or showing no knowledge of their specific projects (e.g., referring to them as just another AV company), which could signal lack of genuine interest in sustainable freight.
  • Overlooking the importance of collaboration—avoid focusing solely on individual technical achievements without examples of working with cross-functional teams like System Engineering or Localization.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Einride!

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