JioStar

Staff Software Development Engineer (Video Engineering)

Bengaluru · Senior

Older listing - lower visibility likelyVerified listingPosted 124d ago

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Skills required

17 listed

Machine LearningVideo CodecQuality AssessmentVideo ProcessingQuality ControlLive StreamingAudio CodecsSignal Processing+9 more

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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

About Us

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 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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Staff Software Development Engineer (Video Engineering)

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