At a Glance
- Tasks: Create cutting-edge perception systems for autonomous tech in extreme Arctic conditions.
- Company: Innovative company focused on real-world applications in robotics and autonomy.
- Benefits: Competitive pay, equity options, and unique field experiences in the Arctic.
- Other info: Diverse teams encouraged; apply even if you don't meet every requirement.
- Why this job: Join a mission-driven team and make a real impact in challenging environments.
- Qualifications: 5+ years in robotics or ML perception, strong coding skills, and experience with sensors.
The predicted salary is between 60000 - 80000 € per year.
The role involves building the eyes for autonomous systems operating in the world's most sensor-hostile environment. You'll develop computer vision and sensor fusion systems that cut through Arctic whiteout, polar night darkness, and ice fog — where traditional perception stacks fail. This isn't lab work: you'll deploy ML models on edge hardware that operates at -40°C, where every watt counts and failure means mission abort.
Core responsibilities:
- Design and deploy perception pipelines for Arctic autonomous platforms (surface, subsurface, aerial).
- Fuse multi-modal sensor data (vision, LiDAR, radar, IMU, GNSS) for situational awareness and autonomy.
- Build ML models for ice classification, terrain mapping, and obstacle detection in low-visibility conditions.
- Train, evaluate, and harden ML models against snow cover, ice glare, low sun angles, and polar night conditions.
- Create synthetic training data and simulation environments for Arctic-specific scenarios.
- Work closely with mechanical, electrical, RF, and autonomy teams to co-design sensor placement, calibration, and integration.
- Support field deployments in the Arctic and iterate rapidly based on real-world data.
What we value:
- 5+ years industry experience in robotics, autonomy, or real-world ML perception systems.
- Strong foundation in computer vision, SLAM, and multi-sensor fusion.
- Proficiency in Python and C++ with production-grade engineering practices.
- Experience with perception frameworks (ROS / ROS2, OpenCV, PyTorch, TensorFlow, etc.).
- Comfort working with real sensors, calibration workflows, and noisy data.
- A track record of shipping perception systems that work outside controlled environments.
- Willingness to operate in safe but extreme cold environments during R&D field testing.
What we offer:
- Competitive compensation.
- Equity — meaningful options as an early employee at an early-stage company.
- Real field exposure — travel to Arctic sites and outposts when needed (genuinely, not as a gimmick).
- Mission-driven culture — focus on impact, not hours logged.
- Small team, real ownership — what you build matters and ships.
A note on who we want to hear from:
We're building for one of the most demanding environments on Earth and we believe diverse teams build more resilient systems. We actively welcome applications from people who are underrepresented in engineering - whether that's by gender, ethnicity, disability, or background. If you're not sure you meet every requirement, apply anyway and tell us what excites you about the problem.
Perception Engineer employer: Arctic Research and Development
As a Perception Engineer at our company, you'll be part of a mission-driven culture that prioritises impact over hours logged, working alongside a small, dedicated team where your contributions truly matter. We offer competitive compensation, equity options for early employees, and the unique opportunity to gain real field exposure in the Arctic, tackling challenges in one of the most sensor-hostile environments on Earth. Our commitment to diversity ensures that we welcome applicants from all backgrounds, fostering a collaborative environment that drives innovation and resilience.
Contact Detail:
Arctic Research and Development Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Perception Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with autonomous systems. Attend meetups or online webinars related to robotics and perception engineering — you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving computer vision and sensor fusion. If you've worked on anything related to harsh environments or ML models, make sure to highlight that — it’ll catch our eye!
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and C++ skills. Be ready to discuss your experience with perception frameworks like ROS or OpenCV. We love candidates who can demonstrate their problem-solving abilities in real-world scenarios.
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box, we value passion and potential. Tell us what excites you about working in extreme conditions and how you can contribute to our mission-driven culture.
We think you need these skills to ace Perception Engineer
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for the role shine through! We want to see what excites you about working in such a challenging environment like the Arctic. Share your experiences and how they relate to our mission.
Tailor Your CV:Make sure your CV is tailored to highlight your relevant experience in robotics, computer vision, and ML perception systems. We’re looking for specific skills, so don’t be shy about showcasing your proficiency in Python, C++, and any perception frameworks you've worked with.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications. Use bullet points where necessary to break down your achievements and skills.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Arctic Research and Development
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, C++, and perception frameworks. Brush up on your knowledge of computer vision, SLAM, and multi-sensor fusion, as these will likely come up during technical discussions.
✨Prepare for Real-World Scenarios
Since this role involves working in extreme conditions, think about how you would approach challenges like low visibility or harsh weather. Be ready to discuss past experiences where you’ve tackled similar issues or how you’d adapt your solutions for the Arctic environment.
✨Showcase Your Collaboration Skills
This position requires working closely with various teams. Prepare examples that highlight your ability to collaborate effectively with mechanical, electrical, and autonomy teams. Discuss how you’ve co-designed systems or integrated feedback from different disciplines in previous projects.
✨Emphasise Your Passion for the Mission
The company values a mission-driven culture, so express your enthusiasm for working in challenging environments and making an impact. Share what excites you about developing perception systems for autonomous platforms and how you align with their goals.
