At a Glance
- Tasks: Develop AI-driven perception systems for human-like robots and real-time scene understanding.
- Company: Join a fast-growing robotics company specializing in advanced AI technologies.
- Benefits: Enjoy a hybrid work model, 28 vacation days, and a dynamic startup environment.
- Why this job: Work with cutting-edge tech in AI and robotics while making a real impact in critical industries.
- Qualifications: Proficiency in scene understanding, ML techniques, and strong software engineering skills required.
- Other info: Proactive Global promotes equality and is an equal opportunity employer.
The predicted salary is between 43200 - 72000 £ per year.
Senior Software Engineer – Robotics – Perception – work with AI technologies and develop Human-like robots.
Location: Hybrid, London
Our client is a fast-growing company that specializes in robotics engineering and advanced AI technologies aimed at human-like automation. They have an exciting opportunity for a Software Engineer – Perception to join their team. This position is well-suited to an ambitious and inventive person who is looking to explore the power of Artificial Intelligence.
This position is based in the Software Department and answers to the Lead of Perception. You will work with the latest technologies to fill the workforce gap in critical industries.
Responsibilities:
- Build robust perception systems for real-time scene understanding, including object detection, classification, pose estimation, and human detection.
- Build a system to track objects & people across the scene.
- Develop and optimize pipelines for offline auto-labeling and real-time perception tasks to support dataset generation and model training.
- Design and implement manipulation policies using imitation learning, diffusion policies, and other ML techniques.
- Create and maintain datasets for manipulation tasks, including cleaning and augmentation pipelines.
- Collaborate with reasoning and control teams to ensure perception aligns with spatial understanding and robotic actions.
Key Skills:
- Proficiency in scene understanding technologies, including object and human detection, classification, and pose estimation.
- Experience in building pipelines for offline auto-labeling and real-time processing.
- Expertise in ML techniques for manipulation (e.g., imitation learning, diffusion policies, Vision Language Action – VLA).
- Strong understanding of dataset creation, cleaning, and augmentation.
- Strong software engineering skills for real-world deployment, particularly on model optimization for embedded systems.
- Familiarity with the latest machine learning and robotics research.
Reasons why you should apply:
- Opportunity to work on the latest technologies in AI, Robotics, EdTech, MedTech, and others.
- Startup model, offering a dynamic and innovative work environment.
- 28 calendar days of vacation per year.
Proactive Global is committed to equality in the workplace and is an equal opportunity employer. Proactive Global is acting as an Employment Business in relation to this vacancy.
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Senior Software Engineer - Perception employer: Austin Fraser
Contact Detail:
Austin Fraser Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer - Perception
✨Tip Number 1
Familiarize yourself with the latest advancements in AI and robotics, especially in perception technologies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your hands-on experience with scene understanding technologies. If you've worked on projects involving object detection or pose estimation, be ready to discuss these in detail and how they relate to the responsibilities of the position.
✨Tip Number 3
Network with professionals in the robotics and AI fields. Attend relevant meetups or webinars to connect with others who might have insights into the company or the industry, which can give you an edge in your application.
✨Tip Number 4
Prepare to discuss your approach to building and optimizing pipelines for real-time processing. Be ready to share specific examples of how you've tackled similar challenges in past projects, as this will demonstrate your problem-solving skills.
We think you need these skills to ace Senior Software Engineer - Perception
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Software Engineer - Perception position. Understand the key responsibilities and required skills, especially in scene understanding technologies and machine learning techniques.
Tailor Your CV: Customize your CV to highlight relevant experience in robotics, AI technologies, and software engineering. Emphasize your proficiency in object detection, classification, and any experience with real-time processing pipelines.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and robotics. Mention specific projects or experiences that align with the responsibilities of the role, such as building perception systems or working with ML techniques.
Showcase Your Projects: If applicable, include links to your GitHub or portfolio where you have demonstrated your work on relevant projects. Highlight any contributions to open-source projects or personal projects that involve perception systems or machine learning.
How to prepare for a job interview at Austin Fraser
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in scene understanding technologies, such as object detection and pose estimation. Bring examples of past projects where you built perception systems or worked with machine learning techniques.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Think through how you would approach building robust perception systems or optimizing pipelines for real-time processing. Articulate your thought process clearly.
✨Highlight Collaboration Experience
Since this role involves working closely with reasoning and control teams, share experiences where you successfully collaborated with cross-functional teams. Emphasize your ability to align perception with robotic actions.
✨Stay Updated on Industry Trends
Familiarize yourself with the latest research in machine learning and robotics. Being able to discuss recent advancements or technologies will show your passion for the field and your commitment to continuous learning.