Member of Technical Staff — Pretraining Infra (Experienced)
Posted
$300,000 USD
Tech Stack
Responsibilities
- Own the distributed training stack for omni model pretraining, from 0→1 system design to 1→10 scaling across large GPU clusters.
- Build and operate the core training runtime: job orchestration, distributed execution, checkpointing, recovery, monitoring, and debugging for long-running training jobs.
- Optimize large-scale training performance across parallelism strategy, GPU communication, memory usage, data throughput, MFU, step time, and end-to-end training efficiency.
- Build infrastructure for omni training workloads: high-throughput audio/video/text data loading, temporal alignment, variable sequence handling, multimodal synchronization, and memory-efficient training.
- Evolve the platform as model architectures, training recipes, data mixtures, sequence lengths, hardware constraints, and research directions change.
Benefits
- 401k
- Equity
Culture
Mission-DrivenCross-Functional TeamsFast-PacedWork-Life BalanceInclusive Hiring
Requirements
Preferred: PhD
Regions: Us
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About Nuance Communications
Industry: ai
Size: startup
Nuance Labs is a Series A company building photorealistic, real-time AI avatars with emotional intelligence that can listen, speak, react, interrupt, and respond like a real person. They focus on developing foundation models for full-duplex audiovisual AI to achieve natural conversation with sub-500ms response times.
View company profile →Compensation
Base salary: $300,000 USD
Equity: Meaningful equity structured for long-term ownership.