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- Tasks: Lead a research team focused on data compression and AI applications.
- Company: Join a pioneering deep tech company transforming data processing and compression.
- Benefits: Enjoy a flexible hybrid working model and a culture of innovation.
- Why this job: Work on impactful projects in media, gaming, and more while leading a talented team.
- Qualifications: Strong knowledge of data compression, Python, C++, and software development lifecycle required.
- Other info: Opportunity to contribute to standards organisations and present findings.
The predicted salary is between 72000 - 108000 £ per year.
London (Hybrid) | Hiring via Hollbridge Search
Are you a technical research leader with deep expertise in data compression? Would you like to work at the forefront of innovation, where your research directly powers products across industries like media, gaming, defense, and automotive? I’m hiring on behalf of a pioneering deep tech client developing next generation compression and AI technologies. They are looking for an exceptional Engineering Manager to lead their technical research group.
About the Company
This company is transforming how data is processed, compressed, and delivered. With a strong foundation in AI, data compression, and extended reality (XR), they are behind several international media standards and hold a significant global IP portfolio. Their award winning solutions are deployed across TV and media, live event production, eCommerce, security, aerospace, and more. The culture is collaborative, empowering, and focused on innovation at every level.
The Role
You will join as an Engineering Manager to lead a small, high impact research team focused on:
- Video and point cloud compression
- AI and ML applications such as Generative AI, intelligent edge, media indexing
- Algorithm optimization for performance and visual quality
You will work closely with engineering, product, and commercial teams to ensure research outcomes are translated into practical and commercial solutions.
What You Will Do
- Lead research initiatives with real world product impact
- Guide and mentor a team of researchers
- Collaborate cross functionally to bring R&D outcomes into engineering pipelines
- Stay current with emerging trends, contribute to standards organisations, and present findings both internally and externally
What We’re Looking For
Must Have Skills:
- Strong understanding of data compression including lossy and lossless techniques, color spaces, and visual quality metrics
- Proficiency in Python and C++
- Understanding of parallel processing programming
- Solid grasp of the software development lifecycle
- Familiarity with standard developing organizations (SDOs)
Nice to Have Skills:
- Experience with visual quality assessment techniques
- Knowledge of TensorFlow, Generative AI, or media indexing
- Background in contributing to patents or published research
- Experience with standards organisations and conference presentations
- Comfortable with Agile workflows, JIRA, and Git version control
Why This Role?
- Join a company working at the forefront of compression and media technology
- Lead a high performing research team
- Work on projects with direct commercial impact
- Flexible hybrid working model and a fast paced, innovation led culture
Software Engineering Manager employer: Hollbridge
Contact Detail:
Hollbridge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineering Manager
✨Tip Number 1
Network with professionals in the data compression and AI fields. Attend industry conferences or meetups where you can connect with potential colleagues or mentors who might provide insights into the company culture and expectations.
✨Tip Number 2
Showcase your leadership skills by discussing any previous experience managing research teams or projects. Be prepared to share specific examples of how you've guided teams to success, especially in technical environments.
✨Tip Number 3
Stay updated on the latest trends in data compression and AI technologies. Familiarise yourself with recent advancements and be ready to discuss how they could impact the company's products during interviews.
✨Tip Number 4
Prepare to demonstrate your technical expertise in Python and C++. Consider working on a small project or contributing to open-source initiatives that highlight your skills in these areas, as practical examples can make a strong impression.
We think you need these skills to ace Software Engineering Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data compression, AI, and software development. Emphasise your proficiency in Python and C++, as well as any relevant projects or research that align with the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for innovation in data processing and compression technologies. Mention specific examples of how your leadership has positively impacted previous teams or projects, particularly in research and development.
Showcase Relevant Experience: When detailing your work history, focus on roles where you led research initiatives or collaborated cross-functionally. Highlight any experience with Agile workflows, JIRA, and Git version control, as these are important for the role.
Prepare for Technical Questions: Anticipate technical questions related to data compression techniques, algorithm optimisation, and AI applications. Be ready to discuss your understanding of visual quality metrics and parallel processing programming during potential interviews.
How to prepare for a job interview at Hollbridge
✨Showcase Your Technical Expertise
Be prepared to discuss your deep understanding of data compression techniques, both lossy and lossless. Highlight any relevant projects or experiences where you've applied these skills, especially in Python and C++.
✨Demonstrate Leadership Skills
As an Engineering Manager, you'll need to lead and mentor a team. Share examples of how you've successfully guided teams in the past, focusing on collaboration and innovation.
✨Stay Current with Industry Trends
Research the latest advancements in AI, ML, and data compression technologies. Be ready to discuss how these trends can impact the company's products and your potential contributions.
✨Prepare for Cross-Functional Collaboration
Understand the importance of working closely with engineering, product, and commercial teams. Think of examples where you've successfully collaborated across functions to bring research outcomes into practical applications.
