Senior System Software Engineer – Accelerated Microservices and Libraries
NVIDIA Corporation (company site, opens in a new tab)8+ yrsPuneOn-siteDirect career pageEst. 35–65 LPA
Posted 0m ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize real-time vision-language model inference microservices from video ingestion through downstream integration.
- Collaborate across engineering and Product Management teams to deliver accelerated microservices and libraries meeting milestone requirements.
- Develop and maintain automated tests, oversee component readiness, and perform profiling and optimization of end-to-end latency, throughput, GPU memory usage, and concurrent user capacity.
Minimum Requirements
- 8+ years in software development with strong programming skills in C/C++ and Python.
- Masters or Bachelors degree in Computer Science or related engineering field.
- Hands-on experience building microservices using containers, REST APIs, and asynchronous messaging.
- Experience integrating and serving computer vision and vision-language models in production with understanding of real-time video processing tradeoffs.
Ideal Candidate Profile
- Background delivering end-to-end video AI applications including video ingestion, inference, tracking, and analytics.
- Familiarity with NVIDIA DeepStream, TensorRT, Triton Inference Server, CUDA, or equivalent GPU-accelerated inference technologies.
- Experience optimizing GPU inference pipelines and profiling GPU applications across x86 and ARM platforms.