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For Companies At a Glance
- Tasks: Design and implement high-performance systems for data collection and analysis using advanced sensors.
- Company: Join Dexory, a pioneering company transforming global logistics with cutting-edge robotics and software.
- Benefits: Enjoy share options, private healthcare, life insurance, and 25 holidays per year.
- Why this job: Shape the future of perception technologies in a dynamic, collaborative environment with ambitious goals.
- Qualifications: Strong experience in perception systems, proficiency in Python and C++, and familiarity with ROS/ROS2.
- Other info: Diversity drives innovation; we welcome applicants from all backgrounds.
The predicted salary is between 48000 - 72000 £ per year.
About Dexory
At Dexory, we are developing advanced software powered by cutting-edge robots that are transforming the very face of global logistics. Our unique blend of disciplines work in harmony to produce results at pace. From hardware and manufacturing to software, AI and commercial, we are one team that beats, learns and grows together.
We value the right attitude, humility and we are as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives innovation and we offer an international and friendly work environment with an energetic company culture.
Role:
As Senior Perception Engineer at Dexory, you will be responsible for the design and implementation of high-performance systems for gathering and analysing environmental data from LiDARs, cameras, and other sensors. You will focus on creating robust, scalable, and efficient data collection and processing systems to support our warehouse integrity platform.
You will have a unique opportunity to help shape our data capture and analysis systems and influence the future of perception technologies at Dexory. The role requires technical excellence, team leadership, and a proactive approach to problem-solving in a dynamic, fast-paced environment.
Responsibilities:
- Designing and implementing high-performance systems for data collection and processing using 3D LiDARs, cameras, and other sensors.
- Implementing efficient data pipelines for processing large-scale sensor datasets in real-time.
- Identifying and integrating new technologies to improve system performance and reliability.
- Building efficient and effective debugging and support tools to allow analysis of our data capture capabilities.
- Collaborating with cross-functional teams, including ROS/robotics engineers, to ensure seamless integration of perception capabilities into our warehouse integrity platform.
- Staying updated with the latest advancements in perception and data capture technologies, contributing to Dexory’s technical roadmap.
Required Qualifications & Experience:
- Strong experience in developing and implementing perception systems for real-time data capture and analysis.
- Proficiency in programming languages such as Python and C++.
- Experience with frameworks such as ROS/ROS2 and associated systems and tools.
- Familiarity with perception-related libraries and tools, including OpenCV, PCL (Point Cloud Library), Open3D, OpenVDB, and TensorFlow/PyTorch.
- Experience with handling and processing large datasets, with a particular focus on edge processing.
- Strong problem-solving skills and a proactive approach to technical challenges.
- Excellent verbal and written communication skills, with the ability to work effectively in a collaborative team environment.
Benefits:
Starting from the interview process and continuing into your career with us, you will be working by our four Operating Principles:
- Performance: High standards, outstanding results.
- Impact: Big challenges, bigger results.
- Commitment: All in, every time.
- One team: One mission, shared success.
Joining our team and company isn’t just about expertise; it’s about embracing uncertainty with ambition. We are crafting world-changing solutions, fueled by a passion to redefine what’s possible. You will also receive:
- Share options
- Private healthcare via Bupa with 24/7 medical helpline
- Life insurance
- Income protection
- Pension: 4+% employee with option to opt into salary exchange, 5% employer
- Employee Assistance Programme - mental wellbeing, financial and legal advice/support
- 25 holidays per year
- Full meals onsite in Wallingford
- Fun team events on and offsite, snacks of all kinds in the office
Please note: We are unable to provide sponsorship or relocation for this role.
Senior Perception Engineer employer: Dexory
Contact Detail:
Dexory Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Perception Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in perception technologies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge.
✨Tip Number 2
Network with professionals in the robotics and perception engineering fields. Attend relevant meetups or online forums where you can connect with current employees at Dexory or similar companies, gaining insights into their work culture and expectations.
✨Tip Number 3
Prepare to discuss specific projects you've worked on that relate to real-time data capture and analysis. Be ready to explain your problem-solving approach and how you overcame challenges, as this will demonstrate your technical expertise and leadership potential.
✨Tip Number 4
Showcase your collaborative skills by highlighting experiences where you've worked with cross-functional teams. Emphasising your ability to integrate perception capabilities into larger systems will resonate well with Dexory's team-oriented culture.
We think you need these skills to ace Senior Perception Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in developing perception systems, particularly with technologies like LiDARs and cameras. Use specific examples to demonstrate your proficiency in programming languages such as Python and C++.
Craft a Compelling Cover Letter: In your cover letter, express your passion for robotics and logistics. Mention how your skills align with Dexory's mission and values, and provide examples of how you've tackled technical challenges in previous roles.
Showcase Team Collaboration: Since the role involves working with cross-functional teams, include examples in your application that showcase your ability to collaborate effectively. Highlight any experience you have with ROS/robotics engineers or similar roles.
Demonstrate Continuous Learning: Mention any recent advancements in perception technologies that you are familiar with. This shows your commitment to staying updated in the field and aligns with Dexory's focus on innovation and improvement.
How to prepare for a job interview at Dexory
✨Showcase Your Technical Skills
As a Senior Perception Engineer, you'll need to demonstrate your expertise in developing perception systems. Be prepared to discuss specific projects where you've implemented real-time data capture and analysis, and highlight your proficiency in programming languages like Python and C++.
✨Familiarise Yourself with Relevant Technologies
Make sure you know the latest advancements in perception technologies and tools such as ROS/ROS2, OpenCV, and TensorFlow. Being able to discuss how you've used these frameworks in past projects will show your commitment to staying updated and your ability to integrate new technologies.
✨Emphasise Problem-Solving Abilities
Dexory values a proactive approach to problem-solving. Prepare examples of challenges you've faced in previous roles and how you overcame them, particularly in high-pressure situations. This will demonstrate your ability to think critically and adapt in a dynamic environment.
✨Communicate Effectively
Excellent communication skills are crucial for collaboration with cross-functional teams. Practice articulating your thoughts clearly and concisely, and be ready to explain complex technical concepts in a way that non-technical team members can understand.
