Video Platform Engineer - E3

About this role

Not quite right? These jobs in Bengaluru match the same skills — apply to a few to improve your chances.

Senior Engineering Manager - Machine Learning

Roku

In OfficeBengaluru

Apply

Senior Machine Learning Engineer, Content Platform

Roku

In OfficeBengaluru

Apply

Staff Machine Learning Engineer

Bazaarvoice India

In OfficeBengaluru

Apply

Senior Machine learning Engineer

Bosch Group

In OfficeBengaluru

Apply

Skills you'll use

What you'll do

• Design and build the ingest path from capture rigs to cloud storage, resilient to partial uploads, flaky field networks, and mid-session hardware failure.
• Build transcoding and normalization pipelines that turn heterogeneous rig output into consistent, analysis-ready media.
• Time-synchronize multi-camera video with telemetry and sensor streams into coherent, labeled episodes.
• Build automated quality checks that flag unusable sessions before they reach a customer - blur, exposure failure, dropped frames, etc.
• Design dataset versioning, lineage, and indexing so that any shipped episode can be traced back to its raw capture.
• Build the delivery path that gets datasets to robotics labs, including packaging, integrity verification, and access control.
• Own cost per captured hour and cost per delivered dataset: storage tiering and lifecycle, egress, encoding efficiency, and GPU utilization.
• Improve observability across the pipeline—monitoring, logging, tracing, and per-stage throughput and failure metrics.
• Troubleshoot complex issues spanning media tooling, storage, networking, and application code.
• Participate in an on-call rotation and own diagnosis and resolution of production issues.

Who can apply

• 5+ years building and operating production video or media processing systems at scale.
• Hands-on, production experience with FFmpeg, GStreamer, or an equivalent media framework. You've built a pipeline around it and debugged it under load.
• Fluency in codecs and containers: H.264/HEVC/AV1, MP4/fMP4, and the practical tradeoffs between them.
• Strong understanding of distributed systems, cloud infrastructure, object storage, and observability.
• Strong programming and problem solving skills.
• Experience with durable workflow orchestration (Temporal, Conductor, Step Functions, Airflow, or similar).
• Experience designing cost-efficient architectures for large media or data workloads, and a working understanding of storage tiering, egress, capacity planning, and GPU utilization.
• Experience with Infrastructure as Code, CI/CD, and production operations.
• Multi-camera, multi-view, or time-synchronized capture systems, and the clock-drift and alignment problems that come with them.
• Robotics or sensor data formats: MCAP, rosbag, ROS/ROS2, Parquet, or similar columnar and log formats.

Perks & benefits

About Instawork

Searching for “Instawork jobs” or “jobs at Instawork”? You’re in the right place.