Senior Deep Learning Engineer

at Nvidia
📍 Munich, Germany
PLN 375,000-650,000 per year
SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 3 Python @ 7 LLM @ 4 PyTorch @ 7 CUDA @ 4 GPU @ 4

Details

We are looking for a Senior Deep Learning Engineer to help bring Cosmos World Foundation Models from research into efficient, production-grade systems. You will 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.

Responsibilities

  • 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.

Requirements

  • 8+ years of experience.
  • MSc or PhD in Computer Science, Electrical Engineering, 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 experience with one or more inference optimization frameworks (examples given: TensorRT, TensorRT-LLM, vLLM, SGLang).

Nice to Have / Ways to Stand Out

  • 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.

Additional Details

  • Office policy: Hybrid (#LI-Hybrid).
  • Location in posting: Munich, Germany.
  • Employment type: Full time.
  • Compensation note: Base salary is determined by location, experience, and internal pay. Example ranges provided for Poland: Level 4 — 292,500 PLN to 507,000 PLN; Level 5 — 375,000 PLN to 650,000 PLN.