Perception Engineer

Dexory; Wallingford; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Private health care

Life insurance

Income protection

Pension

Employee wellbeing support

25 days holiday + bank holidays

Meals onsite

Team events

Job summary

Dexory in Wallingford, Oxfordshire, is seeking a Perception Engineer with strong Python and C++ skills to develop perception pipelines for warehouse environments. You will work with LiDAR and camera data, implement both classical and learning-based approaches, and integrate with a ROS2 autonomy stack.

The role combines research and production with a hybrid work setup. Candidates should have solid fundamentals in 3D geometry, computer vision, and machine learning, and be comfortable traveling to

Qualifications

• Strong foundations in 3D geometry, sensor data, and perception.
• Experience with 3D point clouds, LiDAR, and cameras.
• Familiarity with ROS/ROS2 and perception pipelines.

Responsibilities

• Perception pipeline development for point cloud processing, object detection, and scene understanding in warehouse environments.
• Sensor data analysis: LiDAR scans and camera streams for debugging and improvement.
• Data collection and labeling to support datasets for classical and learned components.
• Collaborate with robotics engineers to integrate perception into the ROS2 autonomy stack.
• Run structured experiments and measure accuracy improvements across environments.
• Build and maintain tools for analysis, visualization, and debugging of perception.
• Stay current with research and contribute to the roadmap.

Skills

Python

C++

3D geometry

Computer vision

Machine learning

ROS2

Signal processing

Tools

ROS2

PCL

Open3D

OpenCV

PyTorch

TensorFlow

Job description

Perception Engineer / LiDAR / Python / C++ / Computer Vision /

Location: Wallingford - Oxfordshire - Hybrid

Permanent

At Dexory, we are transforming the warehousing and logistics industry through data intelligence.

We are looking for someone who is curious, technically sharp, and comfortable operating at the boundary between research and production. You do not need to have worked in robotics or logistics before. What matters is that you are strong on fundamentals - 3D geometry, signal processing, computer vision, or machine learning - and motivated by the challenge of making perception systems work reliably in messy, real-world environments.

Offices based in Wallingford, Oxford but open to flexible set ups.

Responsibilities / Skills

• Perception pipeline development: develop and improve systems for point cloud processing, object detection, and scene understanding in warehouse environments, working across both classical and learning-based approaches.
• Sensor data analysis: work directly with 3D LiDAR scans and camera streams to debug, evaluate, and improve system behaviour across a growing fleet of customer sites.
• Data collection and labelling: contribute to workflows that build and maintain the datasets underpinning both classical and learned perception components.
• Cross-team collaboration: work closely with robotics engineers to integrate perception capabilities into the broader ROS2-based autonomy stack and ensure robust end-to-end behaviour.
• Experimentation and evaluation: run structured experiments, track results, and bring rigour to how we measure accuracy improvements and regressions across diverse warehouse environments.
• Tooling and debugging: build and maintain tools to support analysis, visualisation, and debugging of perception system performance in the field.
• Technical engagement: stay current with relevant research and emerging techniques, sharing findings with the team and contributing to the perception roadmap over time.

We expect a solid foundation in one or more of the following areas:

• 3D perception, point cloud processing, or sensor fusion (e.g. LiDAR, depth cameras, IMU)
• Computer vision using classical or learning-based methods (OpenCV, PyTorch, TensorFlow)
• Machine learning or deep learning, particularly applied to spatial or structured data
• Robotics development, including familiarity with ROS or ROS2

Across all backgrounds, we expect:

• Strong Python skills, with C++ a meaningful advantage given the performance-critical nature of the work.
• Solid engineering fundamentals: clean, testable code, careful attention to edge cases, and genuine ownership of quality.
• A practical mindset: comfortable bridging theory and implementation, and able to make progress without perfect data or perfect problem definitions.
• Good communication: able to explain technical reasoning clearly to colleagues with different backgrounds and engage with feedback constructively

You should be comfortable travelling to customer warehouse sites, domestically and internationally, to observe system behaviour and gather ground truth data in real deployment environments.

Nice to Have

• Experience with SLAM, occupancy mapping, or related localisation techniques
• Familiarity with PCL (Point Cloud Library) or Open3D
• Familiarity with foundation vision models for segmentation or detection (e.g. SAM2) and how to apply them in production contexts
• Exposure to MLOps tooling - experiment tracking (MLflow, W&B), dataset versioning, model deployment
• Academic or project work in robotics, autonomous systems, or applied ML
• Interest in warehouse logistics, supply chain, or industrial automation

Benefits

Starting from the interview process and continuing into your career with us, you will be working by our four Operating Principles:

• Performance:Highstandards,outstandingresults,
• Impact:Bigchallenges,biggerresults
• Commitment:Allin,everytime
• Oneteam:Onemission,sharedsuccess

Joiningourteamandcompanyisn'tjustaboutexpertise;it'saboutembracinguncertaintywithambition.

We're crafting world-changing solutions, fuelled by a passion to redefine what's possible. We will look for you to help create and shape the future of logistics solutions through our products, our culture and our shared vision.

You will also receive:

• PrivatehealthcareviaBupawith24/7medicalhelpline
• Lifeinsurance
• Incomeprotection
• Pension:4+%employeewithoptiontooptintosalaryexchange,5%employer
• EmployeeAssistanceProgramme-mentalwellbeing,financialandlegaladvice/support
• 25daysholidayperyear+bankholidays
• FullmealsonsiteinWallingford
• Funteameventsonandoffsite,snacksofallkindsintheoffice

AAP/EEOStatement

Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.