Python Tech Lead/Integration Architect; Synthetic Data Generation IRC
Listed on 2026-01-16
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Software Development
Software Engineer, Python, AI Engineer, Data Engineer
Location: Town of Poland
Description
Description
As a Tech Lead / Integration Architect for the Nebula project, you will lead the technical design and implementation of a synthetic railway data visualization platform for the Customer. This Python-heavy architecture role focuses on building a video processing pipeline that converts NVIDIA Omniverse simulation outputs (Camera + LiDAR sensors) into synchronized HLS video streams delivered via web player. The critical technical challenge is maintaining ≤100ms synchronization drift between dual video streams throughout the entire timeline.
You will architect the system from scratch, implement core Python components, and guide a 3-person engineering team to deliver a production-ready solution by March 31, 2026. This is a greenfield project with high technical ownership, involving FFmpeg automation, multi-sensor synchronization, file-based system integration with Thanos simulation environment, and REST API design for Angular frontend consumption.
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Requirements
Qualifications
- 7+ years of professional Python development experience
- Strong understanding of system architecture and pipeline design
- Strong programming skills in Python 3.11+, asyncio, multiprocessing, advanced patterns
- Experience with FFmpeg integration and video processing via Python
- Experience with HLS/DASH streaming protocols (manifest generation, segmentation, packaging)
- Experience with video codecs (H.264/H.265) and multi-stream synchronization
- Experience with REST API development using FastAPI or Flask
- Strong file parsing expertise (CSV/JSON/binary formats, large file handling)
- Experience with Docker containerization and Linux/Unix systems
- Proven technical leadership experience (2-3 engineers minimum)
- Excellent communication and presentation skills
- USD format knowledge (Universal Scene Description) and Python USD libraries (pxr or omni.usd)
- Experience with NVIDIA Omniverse, Houdini, Unreal, Unity, or similar 3D platforms
- LiDAR point cloud data formats and sensor fusion concepts
- Experience with CARLA, Air Sim, or similar simulation platforms
- Automotive, robotics, or railway industry background
- Num Py/Pandas for data processing, OpenCV for video manipulation
Description
As a Tech Lead for the Sim Track project, you will architect and lead the development of a Python-based video processing pipeline that synchronizes dual-sensor (Camera + LiDAR) railway simulation outputs into HLS streaming format. You will design the end-to-end system from file parsing to web delivery, ensuring ≤100ms synchronization between video streams, while guiding a small engineering team to deliver a production-ready solution for Cuastomer's AI training datasets.
Key Responsibilities
- Design system architecture:
Input files → Python processing pipeline → HLS streams → Web player integration - Build video encoding pipeline using FFmpeg and Python automation for Camera + LiDAR streams
- Develop file parser for odometry log processing (speed, position, orientation, timestamp data)
- Implement scene file processing to extract sensor data and metadata from simulation outputs
- Create HLS packaging automation ensuring ≤100ms drift between Camera and LiDAR timelines
- Architect and implement metadata synchronization engine (odometry data → video timeline mapping)
- Define and implement REST API contracts for frontend integration using FastAPI
- Guide and code review Backend Engineer (Python) and collaborate with Frontend Engineer (Angular)
- Ensure file-based integration (S2L format) with Thanos simulation environment works correctly
- Collaborate with 3D Artists on file format requirements and with R&D consultant on sensor validation
- Perform performance optimization, bottleneck identification, and system troubleshooting
- Document architecture, technical decisions, API specifications, and integration guides
- Lead technical problem-solving and make critical architectural decisions under tight timeline
Culture of caring. At Global Logic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll…
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