At a Glance
- Tasks: Design and develop cutting-edge computer vision algorithms for autonomous systems.
- Company: Join a leading tech firm at the forefront of perception and navigation technologies.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and career advancement potential.
- Why this job: Make a real impact in the world of autonomous technology and innovation.
- Qualifications: Experience in computer vision and strong problem-solving skills required.
The predicted salary is between 48600 - 59400 £ per year.
An exciting opportunity has arisen for a Computer Vision Engineer to join a highly technical engineering team developing advanced perception and autonomous navigation technologies.
You’ll be responsible for the design, development, verification and deployment of computer vision algorithms and software, contributing to challenging applications involving object detection, tracking and 6Do F pose estimation.
Working alongside engineers across software, systems, GNC and other technical disciplines, you’ll have the opportunity to take algorithms from initial concept through validation and integration into complex autonomous systems.
The Role
Design and develop computer vision algorithms for object detection, tracking and 6Do F pose estimation.
Contribute to computer vision subsystem architectures, requirements and performance budgets.
Support the verification and validation of algorithms, including performance assessment and requirements verification.
Support hardware-in-the-loop and integrated system testing.
Work with camera and Li DAR sensing technologies, supporting hardware selection and integration.
Support the integration of computer vision algorithms into embedded and flight software.
Collaborate closely with Systems, GNC, Flight Dynamics and Software teams.
Conduct research into emerging computer vision technologies and assess their application to future systems.
Contribute to the development of robust and reliabl...
Computer Vision Engineer in Oxford employer: Holt Executive
Join a pioneering company at the forefront of aerospace training, where as an Engineering Delivery Manager, you'll lead innovative projects that shape the future of flight simulation. Enjoy a supportive work culture that prioritises employee growth with opportunities for professional development, alongside competitive benefits such as generous holiday allowances and private medical insurance. Located in a dynamic environment, this role offers the chance to collaborate with talented teams and make a meaningful impact in the aerospace industry.
StudySmarter Expert Advice🤫
We think this is how you could land Computer Vision Engineer in Oxford
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Holt Executive or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Holt Executive.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Holt Executive.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Holt Executive that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Computer Vision Engineer in Oxford
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Holt Executive.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Holt Executive and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Holt Executive
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Holt Executive uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
