# Senior Deep Learning Engineer

**Company**: NVIDIA
**Experience**: senior
**Job type**: full-time
**Salary**: 224,000 USD - 356,500 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-Engineer--Cosmo-3D-Spatial_JR2025745?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_ea05228f-39c

## Description

NVIDIA Cosmos is our open platform of world foundation models for Physical AI, built to interpret images, video, and text and turn them into a structured understanding of a physical scene: motion, object interactions, geometry, and physical context.

The Senior Deep Learning Engineer will own the data engine and end-to-end training verification behind the 3D spatial reasoning and perception capabilities of these models. This involves:

- Sourcing, curating, filtering, and balancing large-scale real-world image and video corpora into vision-language training data

- Building annotation and auto-labeling pipelines for 3D-grounded supervision

- Ensuring data quality end-to-end, including semantic deduplication and automated quality scoring

- Verifying end-to-end model training and running validation pipelines

- Building and operating the 3D and spatial evaluation suite

- Partnering with research scientists to translate 3D research hypotheses into dataset and ablation experiments

- Operating on large multi-node GPU clusters and optimizing data throughput

The ideal candidate has:

- MS or PhD in Computer Science, Electrical/Computer Engineering, Robotics, or a related field

- 12+ years of experience building deep learning systems in Python with PyTorch or JAX on Linux

- Deep expertise in 3D computer vision, multi-view geometry, and structure-from-motion

- Hands-on experience with vision-language models and large-scale multimodal data pipelines

- Experience running and validating large model training on multi-GPU, multi-node clusters

- Rigorous evaluation methodology and excellent written and verbal communication skills

## Skills

### Required
- Python
- PyTorch
- JAX
- Linux
- 3D computer vision
- multi-view geometry
- structure-from-motion
- vision-language models
- large-scale multimodal data pipelines

### Nice to have
- PhD
- publications at CVPR, ICCV, ECCV, NeurIPS, ICLR, or CoRL
- experience curating web-scale or petabyte-scale video corpora
- familiarity with 3D foundation models and modern auto-labeling techniques

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-Deep-Learning-Engineer--Cosmo-3D-Spatial_JR2025745?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)