NVIDIA Architects--------Remote

Overview

Remote
Depends on Experience
Full Time
25% Travel

Skills

GPU
next-generation
CUDA
Omniverse
ISAAC Sim AI stack

Job Details

NVIDIA Architects

Remote + Travel

JD

Study and develop cutting-edge techniques in deep learning, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures.

Lead customer presentations, Develop Demo and Solutions, work with Business Analysts and Domain experts to translate customer requirements into composable solutions on NVIDIA AI Platform

Collaborate closely with the architecture, research, libraries, tools, and system software teams at + NVIDIA to influence the design of next-generation architecture, software platforms, and programming models

Qualifications

BS/MS in engineering or computer science related discipline

6+ years of relevant work experience

- Python proficiency and expertise in developing ML pipelines.

- CUDA programming skills (an added advantage)

- Experience with NVIDIA Omniverse, ISAAC Sim AI stack, and CuOpt tools

- Experience working with Open USD formats

- Experience in developing customized connectors for handling different data formats into Open USD formats

- NVIDIA ISAAC Sim Robot training experience

- Experience in Computer Vision / VLM

-Experience of having delivered at least two NVIDIA Omniverse and ISAAC Sim customer projects

- Experience with NVIDIA Jetson NANO Developer Kits and Vision AI projects

-Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills

-Connectors / Data Transformation experience from CAD, Simulation and JT files into Open VSD formats

-Experience as a full Stack (Web, Backend, Infra) developer with good understanding of how to develop frontends, backend services work and solid ability to scale them

-Strong network knowledge/experience solid understanding of proxies/load balancers/etc

-Demonstrated experience with K8s/Docker and thorough understanding of virtualization, containerization and massive horizontal scaling

-Experience with AWS/Azure/VM

-Strong understanding of how to set up workloads on various CSPs

-Experience with Docker files

- Experience deploying workloads to a CSP

- Deep experience diagnosing networking issues using first principles and appropriate tools (Wireshark, Iperf)

- Demonstrated work experience on AI Tools, ML Libraries, SLM and LLM Tuning , Data Engineering and Modelling experience

- Background in Helm Charts and/or experience with Terraform

- Hands-on experience with Omniverse SDKs

- Experience with PIXAR's Universal Scene Description (USD)

- Hands on experience of a significant system architecture used in production at scale

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