Senior Systems Engineer (ML)

NeuralGarage • Python • 7 days ago
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Salary
≈ $31k – $80k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior
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NeuralGarage

NeuralGarage is a deep-tech startup that aims to make dubbed shows appear more natural through its flagship product Visualdub which reduces the audio-visual disparity in dubbed content using AI.
visualdub.com • Bengaluru • UTC+05:30 • Media & Entertainment • Artificial Intelligence • Generative Video • Est. 2021

Responsibilities:

  • Architect and scale a next-generation multimodal inference platform powering multiple production AI pipelines.
  • Building GPU-resident multimodal pipelines for image, audio, and video inference.
  • Optimizing PyTorch models with TensorRT and Torch-TensorRT.
  • Designing dynamic batching and low-latency inference systems.
  • Building GPU-native preprocessing pipelines using NVIDIA DALI and Kornia.
  • Supporting inference across heterogeneous GPU fleets (H100 A100 A10G, RTX 4090 etc. ).
  • Improving observability, throughput, reliability, and deployment automation.

Requirements:

  • Strong Python and PyTorch skills.
  • Experience deploying ML models in production.
  • Understanding of GPU inference optimization and CUDA fundamentals.
  • Familiarity with Docker and Linux.
  • Strong debugging and problem-solving skills.
  • Experience with NVIDIA Triton, TensorRT, or DALI.
  • Familiarity with CUDA profiling and performance optimization.
  • Experience with distributed inference systems.
  • Knowledge of audio/video ML pipelines.
  • Experience with ONNX, AWS GPU infrastructure, and model quantization techniques (FP16/INT8).
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