Engineering Manager - Research

at  VNova

Overview:
Are you a Research Manager with expertise in data compression? Are you passionate about leading cutting-edge research that shapes the future of technology? Join us at V-Nova, where you’ll have the opportunity to spearhead innovative projects in a dynamic, fast-paced environment while contributing to the development of new products and the enhancement of existing ones.
About Us: V-Nova is a pioneering company at the forefront of hierarchical and parallel data processing, with deep expertise in AI, data compression, and extended reality (XR). Our innovations have already led to the creation of three international media standards — MPEG-5 Low Complexity Enhancement Video Coding (LCEVC), SMPTE VC-6, and V-Nova PresenZ — which are essential for the next generation of digital experiences. With over 1,000 patents and a uniquely talented team of more than 90 experts, including 60+ software engineers and data encoding specialists, we are driving the future of media and beyond.
At V-Nova, we’ve developed multiple award-winning software products that are transforming industries such as TV, media, live event production, entertainment, social networks, eCommerce, ad-tech, security, aerospace, defense, automotive, and gaming. Our commitment to innovation is matched only by our dedication to fostering a collaborative, empowering, and diverse work environment where talented individuals can thrive.
Role Overview: We are seeking a driven and experienced Technical Manager to lead our Research Group. In this role, you will guide groundbreaking research projects in areas such as video and point cloud compression, AI/ML applications (e.g., Generative AI, media indexing, intelligent edge), and algorithm optimization for both performance and visual quality. Your work will have a direct impact on our products, as research outcomes quickly transition into V-Nova’s solutions.
Responsibilities:

REQUIRED SKILLS AND EXPERIENCE:

• Deep understanding of data compression technologies, including lossy/lossless compression, quality metrics, and color spaces.
• Knowledge of the end-to-end software development lifecycle, with experience collaborating across teams.
• Proficiency in Python and C++ software development.
• Experience with parallel processing programming.
• Understanding of standardization processes and standard-developing organizations (SDOs).

DESIRABLE SKILLS AND EXPERIENCE:

• Knowledge of objective Visual Quality (VQ) assessment techniques.
• Experience with TensorFlow, visual AI (e.g., media indexing), and/or multimodal Generative AI.
• Experience in Intellectual Property development.
• Experience presenting research findings at conferences and within video-centric forums.
• Contribution to standard-developing organizations (SDOs).
• Experience with Agile development methodologies and tools like JIRA.
• Proficiency in software development tools such as GIT.
  Why Join Us? At V-Nova, we are committed to excellence and driven by a shared passion for innovation. You’ll be part of a diverse, high-performing team where your contributions will have a real impact. With ground-breaking technology, a collaborative work culture, and exciting growth opportunities, there has never been a better time to join us.
  Explore more about us at www.v-nova.com and become part of our journey to shape the future of data compression and digital experiences.

Leadership: Manage the day-to-day activities of the Research Group, ensuring timely project delivery, team performance, and recruitment of top talent.
People Development: Actively mentor and develop engineers through regular 1:1s, objective setting, feedback, and addressing any concerns.
Technical Leadership: Lead the design of algorithms and software for data compression systems, guiding your team in developing cutting-edge solutions.
Documentation: Create and maintain technical documentation, including project reports, white papers, and intellectual property (IP) capture.
Collaboration: Work closely with product and engineering management to align research projects with V-Nova’s strategic priorities.
Process Improvement: Continuously enhance the Research Group’s processes and tools, driving efficiency and quality across the department.