Perception Engineer - Talent Pool in Cirencester

Perception Engineer - Talent Pool in Cirencester

Cirencester Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and deploy perception systems for Arctic autonomous platforms in extreme conditions.
  • Company: Pioneering tech company focused on autonomy in the Arctic's harsh environments.
  • Benefits: Competitive pay, health insurance, equity options, and real-world field exposure.
  • Other info: Join a small team where your contributions truly matter and grow your career.
  • Why this job: Make a real impact by solving hard problems in one of Earth's most challenging frontiers.
  • Qualifications: 5+ years in robotics or ML perception, strong coding skills, and experience with real sensors.

The predicted salary is between 63000 - 77000 £ per year.

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 & Optician
  • 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

Perception Engineer - Talent Pool in Cirencester employer: Arctic Research and Development

At ARD, we pride ourselves on being an exceptional employer, offering a mission-driven culture that prioritises real-world impact over hours logged. As a Product Security Engineer, you'll enjoy competitive compensation, equity options, and the unique opportunity to work in one of the most challenging environments on Earth, with travel to Arctic sites that enrich your experience. Our small team structure ensures that your contributions are valued and have a direct influence on our innovative solutions, fostering both personal and professional growth in a supportive atmosphere.

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Contact Details:

Arctic Research and Development Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Perception Engineer - Talent Pool in Cirencester

Dive into Robotics Meetups

Get yourself out there and connect with others in the robotics-automation field by attending local meetups and industry events. These gatherings are where the magic happens, and you might just rub shoulders with someone from Arctic Research and Development or get insider tips on upcoming vacancies.

Showcase Your Projects

Create a portfolio that highlights your robotics projects, whether they're personal, academic, or freelance. Share this on platforms like GitHub or your personal website, as it shows potential employers, like Arctic Research and Development, what you're made of and your hands-on experience in the field.

Utilise University Resources

If you're fresh out of university or still connected, don't underestimate your career services. They often have exclusive access to job fairs and employer networking events in technical fields like ours, so make sure you tap into those resources to discover openings at companies like Arctic Research and Development.

Engage in Online Communities

Join online communities that focus on robotics and automation, such as forums or LinkedIn groups. Engage in conversations, ask questions, and share insights. This not only builds your visibility but could also lead to direct connections at firms like Arctic Research and Development, which might have the full-time role you're after.

We think you need these skills to ace Perception Engineer - Talent Pool in Cirencester

Computer Vision
Sensor Fusion
Machine Learning (ML)
Python
C++
Robotics
SLAM

Some tips for your application 🫡

Showcase Your Technical Skills:In the robotics and automation field, it's crucial to highlight your technical skills on your CV. Include specific programming languages, software platforms, and any relevant robotics experience. Don’t forget to mention any projects or systems you've developed – this info can really make you stand out!

Portfolio Perfection:Having a polished portfolio can speak volumes for a role in robotics. Include any relevant case studies, designs, or prototypes you've worked on. If you've participated in competitions or hackathons, showcase these achievements as well – they show initiative and problem-solving skills!

Tailored Cover Letter Magic:In your cover letter, don’t just tell us that you love robotics—tell us why you’re passionate about automation specifically! Explain how your skills can contribute to Arctic Research and Development’s projects and remember to connect your past experiences to what you'll be doing in this role.

Certifications Matter:If you’ve got any relevant certifications, such as in robotic process automation or machine learning, make sure they’re front and centre on your CV. These credentials show you're dedicated to your field and keep you up to date with industry standards – we love to see that!

How to prepare for a job interview at Arctic Research and Development

Showcase Your Technical Wizardry

For a role in robotics and automation at Arctic Research and Development, it's crucial to demonstrate your technical skills. Be prepared to dive into specifics about the programming languages and tools you’ve used, like Python or ROS (Robot Operating System). Brush up on your knowledge of algorithms and control systems, as these might come up during technical questions.

Bring Your Projects to Life

With a full-time position in robotics, you should have a portfolio of your projects ready to show. Whether it's a robot you built for a competition or a simple automation script, make sure you can discuss the challenges you faced and how you solved them. This hands-on experience is gold and shows you can apply theoretical knowledge in real-world scenarios.

Think Like an Engineer

Expect some problem-solving scenarios during your interview. You might be asked to design a basic automation solution on the spot or troubleshoot a robotic system. Practising these types of technical questions can really set you apart, as they require critical thinking and a systematic approach to tackle problems.

Culture Fit Is Key!

Don’t underestimate the importance of cultural fit at Arctic Research and Development. They might ask about your teamwork experience and how you handle challenges with peers. Be ready to share examples of working in diverse teams, as collaboration is often central to projects in robotics and automation.