NVIDIA Architects
Dallas Preferred but Remote with Travel Ok
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
Job Type: Full-time
- Schedule:
- 8 hour shift
Work Location: Remote
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