Senior Deep Learning Algorithm Engineer

at Nvidia
📍 Santa Clara, United States
USD 184,000-356,500 per year
SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Software Development @ 4 Python @ 4 Algorithms @ 7 Machine Learning @ 6 TensorFlow @ 6 Hiring @ 4 LLM @ 4 PyTorch @ 6 CUDA @ 4 GPU @ 4

Details

We are seeking a highly skilled Deep Learning Algorithms Engineer with hands-on experience optimizing and deploying Large Language Models (LLMs) and Vision-Language Models (VLMs) in production environments. In this role you will focus on optimizing and deploying deep learning models for efficient and fast inference across diverse GPU platforms. You will collaborate with research scientists, software engineers, and hardware specialists to bring cutting-edge AI models from prototype to production.

Responsibilities

  • Optimize deep learning models for low-latency, high-throughput inference.
  • Convert and deploy models using frameworks such as TensorRT and TensorRT-LLM.
  • Understand, analyze, profile, and optimize performance of deep learning workloads on state-of-the-art hardware and software platforms.
  • Collaborate with internal and external researchers to ensure seamless integration of models from training to deployment.
  • Work with cross-functional teams including DL research, CUDA kernel and DL framework development, and silicon architecture teams to drive production-ready solutions.

Requirements

  • Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience).
  • 4+ years of professional experience in deep learning or applied machine learning.
  • Strong foundation in deep learning algorithms, including hands-on experience with LLMs and VLMs.
  • Deep understanding of transformer architectures, attention mechanisms, and inference bottlenecks.
  • Proficient in building and deploying models using PyTorch or TensorFlow in production-grade environments.
  • Solid programming skills in Python and C++.
  • Experience working with GPU platforms and profiling/optimizing workloads for inference.

Ways to stand out

  • Proven experience deploying LLMs or VLMs at scale in real-world applications.
  • Hands-on experience with model optimization and serving frameworks, such as TensorRT, TensorRT-LLM, vLLM, SGLang.

Compensation & Benefits

  • Base salary range:
    • Level 4: 184,000 USD - 287,500 USD
    • Level 5: 224,000 USD - 356,500 USD
  • You will also be eligible for equity and benefits.

Additional information

  • Team context: As NVIDIA expands in the datacenter business this team helps maximize datacenter deployments and supports data-driven hardware design and system software development.
  • Applications for this job will be accepted at least until October 21, 2025.
  • NVIDIA is an equal opportunity employer and values diversity in hiring and promotion practices.