# Member of Technical Staff — Pretraining Infra (Experienced) at Nuance Labs

- Company: Nuance Labs
- What the company does: We are building visual conversational AI that feels human. Backed by Accel, Lightspeed and South Park Commons.
- Company website: https://www.nuancelabs.ai/
- Type: Startups (AI role)
- Level: Senior
- Location: Seattle, Washington
- Work setup: On-site
- Pay: $300K to $400K base salary per year (USD)
- Posted: 2026-06-04
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/nuancelabs/jobs/4274385009
- Page: https://www.1752.vc/careers/jobs/nuance-labs-member-of-technical-staff-pretraining-infra-experienced/

## About the role

We're looking for a deeply technical MTS to own distributed training infrastructure for large-scale omni model pretraining. This role sits at the intersection of research, systems, and GPU-scale execution — building the training stack from 0→1 and scaling it: distributed execution, parallelism, GPU communication, data loading, checkpointing, observability, and debugging.

## What they're looking for

- Hands-on experience running large-scale distributed training jobs across large GPU clusters, experience at hundreds of GPUs minimum, 1,000+ GPUs a strong plus
- Practical experience with at least one major large-scale training stack such as Megatron, PyTorch FSDP, DeepSpeed, or equivalent internal infrastructure
- Understanding of omni or multimodal training challenges, especially audio/video/language data, long temporal context, variable sequence lengths, modality-specific bottlenecks, and high-throughput dataloading
- Strong software engineering fundamentals, curiosity, and adaptability to new model architectures, training frameworks, hardware constraints, and research ideas

Tags: Engineering