Vacancy Description
About Position:
You will be the team's primary authority on NVIDIA's inference ecosystem NIM (NVIDIA Inference Microservices), Triton Inference Server, TensorRT, and the BioNeMo platform. Your core mission is to take structural biology AI models whether NIM-ready or research-grade Python scripts and turn them into production-quality, API-accessible inference services.
Critical Requirement: Several target models (LigandMPNN, Boltz, custom AlphaFold2 variants) are not yet available as official NVIDIA NIM services. This role requires hands-on ability to build NIM-compliant containers from scratch and configure Triton model repositories for models that currently only have CLI or notebook interfaces.
Role: Nvidia Engineer
Location: All Persistent Locations
Experience: 4 to 7 Years
Job Type: Full Time Employment
What You'll Do:
NIM Service Deployment
Deploy and configure NVIDIA NIM containers for bio models (AlphaFold2-Multimer, ESMFold, Pro...
You will be the team's primary authority on NVIDIA's inference ecosystem NIM (NVIDIA Inference Microservices), Triton Inference Server, TensorRT, and the BioNeMo platform. Your core mission is to take structural biology AI models whether NIM-ready or research-grade Python scripts and turn them into production-quality, API-accessible inference services.
Critical Requirement: Several target models (LigandMPNN, Boltz, custom AlphaFold2 variants) are not yet available as official NVIDIA NIM services. This role requires hands-on ability to build NIM-compliant containers from scratch and configure Triton model repositories for models that currently only have CLI or notebook interfaces.
Role: Nvidia Engineer
Location: All Persistent Locations
Experience: 4 to 7 Years
Job Type: Full Time Employment
What You'll Do:
NIM Service Deployment
Deploy and configure NVIDIA NIM containers for bio models (AlphaFold2-Multimer, ESMFold, Pro...
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