At a Glance
- Tasks: Design and deploy cutting-edge computer vision systems for autonomous robots.
- Company: Innovative tech company revolutionising autonomous security with AI and robotics.
- Benefits: Competitive salary, equity, visa support, and a collaborative culture.
- Other info: Join a dynamic team and own significant projects from day one.
- Why this job: Make a real impact on the future of robotics and intelligent security.
- Qualifications: 3+ years in computer vision, strong Python skills, and a builder mindset.
The predicted salary is between 60000 - 80000 £ per year.
About the Hiring Process
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About the Company
Our client is building the intelligent software layer powering the next generation of autonomous security systems. Combining AI, robotics, cloud infrastructure, and computer vision, they enable robots and intelligent sensors to detect, understand, and respond to complex real-world environments. Backed by experienced founders, leading investors, and a world-class technical team, they're engineering the perception stack behind tomorrow's autonomous robotics.
Location: Zürich, Switzerland (On-site | Remote considered for exceptional candidates)
Employment Type: Full-time
Level: Mid-Senior Level
Visa Sponsorship & Relocation Support: Available
About the Role
As a Perception Engineer, you'll build and own the computer vision systems powering autonomous robots deployed in real-world environments. You'll transform state-of-the-art AI models into reliable production systems capable of detecting, tracking, and understanding objects across multiple cameras while running efficiently on edge hardware. This is a builder's role where success is measured by real-world performance, not research papers. You'll work closely with AI, Robotics, and Software Engineering teams to deliver perception systems that operate reliably in demanding production environments.
What You'll Do
- Design and deploy cross-camera object re-identification (ReID) systems for people and vehicles
- Build high-performance object detection and multi-object tracking pipelines
- Integrate Vision-Language Models (VLMs) for scene understanding and operator intelligence
- Develop robust real-time video pipelines using RTSP and WebRTC
- Optimize AI models for NVIDIA Jetson and edge devices using TensorRT, quantization, pruning, and latency optimization
- Evaluate, fine-tune, and train computer vision models where required
- Build scalable image and video data pipelines for training and evaluation
- Collaborate closely with Robotics and Software Engineering teams to integrate perception into autonomous systems
- Continuously improve model reliability, performance, and deployment efficiency
What We're Looking For
- 3+ years of experience building and deploying production Computer Vision or Machine Learning systems
- Strong expertise in object detection, multi-object tracking, and cross-camera ReID
- Hands-on experience with Vision-Language Models (VLMs)
- Experience building real-time multi-camera video processing pipelines using RTSP and WebRTC
- Proven experience deploying AI models on edge hardware using TensorRT, quantization, pruning, or similar optimization techniques
- Strong Python and PyTorch (or JAX) skills
- Experience building reliable ML systems with strong software engineering practices
- Experience managing large image and video datasets for training and evaluation
- Builder mindset with strong ownership and the ability to thrive in a fast-moving startup environment
Nice to Have
- NVIDIA DeepStream
- MLOps (model versioning, CI/CD, monitoring)
- RAG and LLM-based systems
- Robotics, autonomous systems, surveillance, or defense
- Edge AI deployment
- Air-gapped or on-premise environments
- Publications in CVPR, ICCV, NeurIPS, or ICLR
What We Offer
- Competitive salary with meaningful equity
- Visa and relocation support
- Work alongside world-class founders and AI researchers
- Significant ownership over the perception stack from day one
- Opportunity to build production AI systems deployed in the physical world
- International, collaborative, engineering-first culture
- Direct impact on the future of autonomous robotics and intelligent security
Build the perception systems that enable autonomous robots to understand and navigate the real world...
Perception Engineer – Computer Vision & Edge AI | Zürich in Cambridge employer: Cross Border Talents
Our client offers an exceptional work environment in Zürich, where innovation meets collaboration. As a Perception Engineer, you'll enjoy competitive salaries, meaningful equity, and the chance to work alongside world-class founders and AI researchers. With a strong focus on employee growth and a culture that values engineering excellence, you'll have significant ownership over your projects from day one, making a direct impact on the future of autonomous robotics.
StudySmarter Expert Advice🤫
We think this is how you could land Perception Engineer – Computer Vision & Edge AI | Zürich in Cambridge
✨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 Cross Border Talents 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 Cross Border Talents, 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 Cross Border Talents.
✨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 Cross Border Talents, which might have the full-time role you're after.
We think you need these skills to ace Perception Engineer – Computer Vision & Edge AI | Zürich in Cambridge
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 Cross Border Talents’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 Cross Border Talents
✨Showcase Your Technical Wizardry
For a role in robotics and automation at Cross Border Talents, 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 Cross Border Talents. 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.
