Are you fascinated by the latest developments in Vision Language Models and 3D reconstruction? We are looking for a driven Software Engineer to bring groundbreaking models into NVIDIA's software ecosystem for neural graphics to improve its robustness and accuracy and enrich its capabilities.
You will design, build, and optimize containerized inference execution for the latest 3D VLMs from NVIDIA, turning research work into production-grade, highly optimized software (NIMs, NVIDIA Inference Microservices).
Your responsibilities will include:
- Developing benchmarks to validate the models' accuracy and performance (latency, throughput, scalability)
- Releasing and maintaining the models and their pipelines throughout their lifecycle (bug fixes, security patches)
- Contributing VLM-related features to Open-Source projects like vLLM
- Collaborating closely with Research and Product teams and influencing our common roadmaps
We need to see:
- A Master's of Science in Computer Science + 3 years, or Electrical Engineering, Bachelor of Science (or equivalent experience) + 5 years of experience
- A history of building, validating, and releasing production-grade AI distributed systems, backend services, microservices, and cloud technologies
- Deep technical expertise in distributed applications using Docker, Kubernetes, endpoints, and their APIs (REST, gRPC), Helm
- Hands-on experience with modern inference platforms (vLLM, SGLang, Torch, TRT, TRT-LLM)
- Proficiency with Python and C++
- Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization)
- Excellent written, visual, and verbal communication
- Curiosity and drive to learn new technologies and partner across teams and functions
You will also be eligible for equity and benefits.
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