Staff Software Development Engineer (Video Engineering)

7018 Jiostar India Private Limited

Bengaluru

On-site

INR 4,200,000 - 7,000,000

Full time

14 days+
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Job summary

JioStar India Private Limited in Bengaluru is seeking a Staff Machine Learning Engineer to lead advanced video processing initiatives within our Video Engineering team. You will guide domain strategy and collaborate with research and product teams to deliver scalable media infrastructure.

You should have 6+ years in multimedia software, strong C++/Java, deep codec and streaming knowledge, and hands-on experience with FFmpeg/GStreamer and AI-driven media solutions.

Qualifications

  • 6+ years of multimedia software development experience.
  • Strong proficiency in C++ or Java with OOP fundamentals.
  • Deep knowledge of video/audio codecs and streaming.
  • Experience with live streaming workflows and cloud platforms.
  • Hands-on with FFmpeg, GStreamer, and other media tools.

Responsibilities

  • Lead the design and development of video processing & ad insertion software integrated with the Hotstar media pipelines
  • Architect solutions for quality, robustness, and scale – handling massive volumes of video content efficiently
  • Innovate and prototype emerging media technologies (AI-driven quality assessment, dynamic bitrate optimization, etc.)
  • Design and implement algorithms for encoding efficiency augmentation with video intelligence capabilities
  • Build automated video quality control systems for incoming source content and encoded streams
  • Drive technical implementation of media features in live streaming workflows with observability and resiliency
  • Champion support for state-of-the-art media features on the platform, ensuring delightful user experience
  • Collaborate with research and product teams to evaluate and integrate next-generation video technologies

Skills

Multimedia development
C++ or Java
Video codecs
HDR standards
Audio codecs
Immersive formats
Image processing
Live streaming
FFmpeg / GStreamer
Distributed systems
Cloud platforms
Media packaging formats
CDN architectures
GenAI in media

Education

BE/B.Tech in Computer Science/Electrical Engineering
MS or PhD a plus

Tools

FFmpeg
GStreamer
NVIDIA DeepStream
x265
SVT-AV1

Job description

Job Summary

As a Staff Machine Learning Engineer, you will demonstrate strong independence and technical proficiency while collaborating effectively within the team. You will uphold a standard of excellence, ensuring high-quality work and timely delivery of projects. Additionally, you will serve as the functional lead within your domain, providing guidance and expertise to team members.

About the team

Join our Video Engineering team as a Staff Engineer leading the development of next-generation media infrastructure. You'll work on cutting-edge challenges in video codec optimization, AI-driven quality assessment, and streaming at massive scale. This role offers the opportunity to shape the technical strategy for video processing systems that serve millions of concurrent users globally.

Key responsibilities
  • Lead the design and development of video processing & ad insertion software integrated with the Hotstar media pipelines
  • Architect solutions for quality, robustness, and scale – handling massive volumes of video content efficiently
  • Innovate and prototype emerging media technologies (AI-driven quality assessment, dynamic bitrate optimization, etc.)
  • Design and implement algorithms for encoding efficiency augmentation with video intelligence capabilities
  • Build automated video quality control systems for incoming source content and encoded JioHotstar streams
  • Drive technical implementation of media features in live streaming workflows with observability and resiliency
  • Champion support for state-of-the-art media features on the platform, ensuring delightful user experience
  • Collaborate with research and product teams to evaluate and integrate next-generation video technologies
Skills and attributes for success
  • 6+ years of experience in multimedia software development with excellent problem-solving and debugging skills
  • Expert proficiency in C++ or Java with strong object-oriented programming fundamentals
  • Deep understanding of audio and video compression and processing, including: Video codec standards: H.264/AVC, HEVC, AV1, HDR standards: Dolby Vision, HDR10+ Audio codecs: AAC, HE-AAC, EAC-3, Dolby Atmos (AC-4) Immersive formats: 360VR, 3D video
  • Strong background in image and signal processing including algorithm design and implementation
  • Experience with live streaming workflows, systems, streaming protocols, and network topologies
  • Hands-on experience with open-source multimedia projects (ffmpeg, GStreamer, NVIDIA DeepStream, x265, SVT-AV1)
  • Experience in large-scale distributed systems and cloud-computing platforms
  • Knowledge of media packaging formats: HLS, DASH, CMAF with encryption standards
  • Understanding of CDN architectures and delivery mechanisms
  • Experience with Machine Learning and GenAI systems applied to media processing
Preferred education and experience

7 to 9 years of experience with BE/B.Tech in Computer Science/Electrical Engineering or equivalent. MS or PhD a plus

Company overview

Perched firmly at the nucleus of spellbinding content and innovative technology, JioStar is a leading global media & entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week, igniting the dreams and aspirations of hundreds of million people across geographies.

JioStar India Private Limited (formerly known as Star India Private Limited) is an equal opportunity employer.

The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work.

The company ensures that the work environment is free from any discrimination against persons with disabilities, gender, gender identity and any other characteristics or status that is legally protected.

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