At a Glance
- Tasks: Develop and deploy cutting-edge perception systems for robotics.
- Company: Join Bear Robotics, a leader in innovative robotic solutions.
- Benefits: Enjoy competitive pay, flexible work options, and growth opportunities.
- Other info: Collaborative environment with exciting projects and career advancement.
- Why this job: Make a real impact in robotics and AI with your skills.
- Qualifications: Experience in computer vision and strong Python skills required.
The predicted salary is between 67500 - 82500 £ per year.
Job Title
Senior Robotics Engineer
Department
Robotics Software Engineering
The Computer Vision Engineer will develop and deploy perception systems for manipulation and mobile robotics, working across model development, sensor integration, data, evaluation and runtime optimization, and partnering closely with robot-learning and controls engineers to turn visual predictions into dependable action.
Key Duties/Responsibilities
- Perception Systems Development
- Develop vision systems for object detection, segmentation, tracking, pose estimation, depth, scene understanding and task-state recognition.
- Build perception capabilities that support grasping, manipulation, navigation, human awareness and closed-loop robot behaviour.
- Select and adapt modern architectures, including transformer-based, multimodal, open-vocabulary and foundation-model approaches where they provide practical value.
- Data & Evaluation
- Create and improve datasets through collection, annotation, synthetic generation, augmentation, active learning and disciplined failure mining.
- Design offline and on-robot evaluation that measures accuracy, calibration, robustness, latency and downstream task impact across representative conditions.
- Sensor Integration & Deployment
- Integrate cameras and depth sensors; address calibration, synchronisation, coordinate transforms, noise and hardware-specific failure modes.
- Optimise models and pipelines for real-time inference on robot compute while maintaining useful accuracy and predictable resource use.
- Deploy perception components into the robot software stack with strong logging, monitoring, fallback behaviour and regression coverage.
- Problem Solving & Troubleshooting
- Diagnose field and lab failures systematically and turn recurring edge cases into data, model or systems improvements.
- Collaboration & Communication
- Collaborate with robot learning, controls, simulation, hardware and product teams throughout development and pilot validation.
- Performs other duties or takes on specialized responsibilities as assigned.
Supervisory Responsibilities
- None
Required Skills/Abilities/Qualifications
- Strong practical experience developing computer-vision or multimodal perception systems beyond classroom projects.
- Excellent Python skills and substantial experience with Py Torch or an equivalent deep-learning framework.
- Good knowledge of modern vision methods in several relevant areas, such as detection, segmentation, tracking, pose estimation, depth or representation learning.
- Experience building datasets, training models, selecting metrics and performing structured error analysis.
- Understanding of camera geometry, calibration, coordinate systems and the relationship between perception outputs and physical-world decisions.
- Ability to write production-quality code and integrate models into larger software systems with appropriate tests and observability.
- Strong experimental judgement and the persistence to resolve performance gaps caused by data, models, sensors or deployment conditions.
- Clear communication and effective collaboration across AI, robotics and hardware disciplines.
Preferred Skills/Abilities/Qualifications
- Perception for robotic manipulation, mobile robots, autonomous systems or other embodied-AI applications.
- 6D object pose estimation, visual servoing, grasp perception, articulated-object understanding or hand-object interaction.
- RGB-D, stereo, event cameras, Li DAR or multi-camera systems.
- Open-vocabulary perception, vision-language models, self-supervised learning or multimodal foundation models.
- Synthetic data, domain randomisation, simulation and sim-to-real transfer.
- CUDA, Tensor RT, ONNX or other inference optimisation and profiling tools.
- ROS/ROS 2 and deployment on embedded or edge GPU hardware.
Education/Experience
- A degree in computer science, machine learning, robotics, engineering or a related field, or equivalent practical experience.
- At least three years' relevant work experience.
Physical Requirements
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Prolonged periods of sitting/standing at a desk and working on a computer. The employee routinely is required to sit; stand, walk; talk and hear; use hands to keyboard.
- Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
- Ability to lift 30 lbs.
- Occasional travel to partner or pilot sites may be required.
Bear Robotics, Inc. is proud to be an Equal Opportunity Employer.
We do not discriminate on the basis of race, color, ancestry, national origin, religion or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, military or veteran status, citizenship, or other characteristics protected by state or federal law or local ordinance.
Computer Vision Engineer in Bristol employer: Bear Robotics
Bear Robotics is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to drive impactful solutions in the rapidly evolving field of robotics. With a strong focus on professional development, team members have access to continuous learning opportunities and the chance to work alongside industry leaders in a dynamic EMEA environment. The company's commitment to employee well-being and success makes it a rewarding place for those looking to make a meaningful impact in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Computer Vision Engineer in Bristol
✨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 Bear Robotics 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 Bear Robotics, 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 Bear Robotics.
✨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 Bear Robotics, which might have the full-time role you're after.
We think you need these skills to ace Computer Vision Engineer in Bristol
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 Bear Robotics’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 Bear Robotics
✨Showcase Your Technical Wizardry
For a role in robotics and automation at Bear Robotics, 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 Bear Robotics. 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.