We are looking for a Senior Deep Learning Engineer to help bring Cosmos World Foundation Models from research into efficient, production-grade systems. You’ll focus on optimizing and deploying models for high-performance inference on diverse GPU platforms. This role sits at the intersection of deep learning, systems, and GPU optimization - working closely with research scientists, software engineers, and hardware experts.
NVIDIA Cosmos is a platform purpose-built for physical AI, featuring powerful generative models. Developers use Cosmos to accelerate physical AI development for autonomous vehicles (AVs), robots, and video analytics AI agents by simulating and reasoning about the physical world.
What you'll be doing:
Improve inference speed for Cosmos WFMs on GPU platforms.
Effectively carry out the production deployment of Cosmos WFMs.
Profile and analyze deep learning workloads to identify and remove bottlenecks.
What we need to see:
5+ years of experience.
MSc or PhD in CS, EE, or CSEE or equivalent experience.
Strong background in Deep Learning.
Strong programming skills in Python and PyTorch.
Experience with inference optimization techniques (such as quantization) and inference optimization frameworks, one of: TensorRT, TensorRT-LLM, vLLM, SGLang.
Ways to stand out from the crowd:
Familiarity with deploying Deep Learning models in production settings (e.g., Docker, Triton Inference Server).
CUDA programming experience.
Familiarity with diffusion models.
Proven experience in analyzing, modeling, and tuning the performance of GPU workloads, both inference and training.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 221,250 PLN - 383,500 PLN for Level 3, and 292,500 PLN - 507,000 PLN for Level 4.Skills Required
- 5+ years of experience
- MSc or PhD in CS, EE, or CSEE or equivalent experience
- Strong background in Deep Learning
- Strong programming skills in Python and PyTorch
- Experience with inference optimization techniques and frameworks
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
