Note: At this stage we are keen to connect with interested candidates ahead of Q426/Q127.
THE LAST FRONTIER
The Arctic is a place of extremes: unforgiving, untamed, and undergoing rapid change. A literal defrosting reveals a multi-trillion-dollar opportunity spanning energy, defence, logistics, research, and infrastructure.ARD was founded on a paradox. The Arctic is both the next great economic frontier and one of the most hostile environments on Earth. Rich in resources and strategically vital, yet bone-chillingly cold, dark for months, and fundamentally inhospitable to humans. This paradox—an explosion of activity in a place that resists human presence—is why we exist.Our solution is autonomy.We build systems that operate reliably and intelligently in the Arctic, so that humans don’t always have to.Founded by record-holding pioneers with decades of polar experience, we take calculated risks on hard problems that matter. If you want to build and deploy ground-up technology with real-world impact, at an inflection point in history that won’t reappear, we’d like to talk.
THE ROLE
We’re looking for a Perception Engineer to build 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
- Private Health Insurance
- Dental & Vision
- Equity — meaningful options as an early employee at an early-stage company
- Real field exposure — travel to Arctic sites and Outposts when needed
- Mission-driven culture — focus on impact, not hours logged
- Small team, real ownership — what you build matters and ships
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