Senior ML Engineer: Perception & Fusion for AVs (Equity)

NVIDIA

New York (NY)

On-site

USD 184,000 - 357,000

Full time

4 days ago
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Job summary

NVIDIA is seeking top Machine Learning Engineers to build the ML backbone for the NVIDIA DRIVE AV perception stack. You will design, train, and optimize models for LiDAR and camera perception, and drive multi-sensor fusion, in a high-performance, production environment.

You will coordinate ML workflows end-to-end, from data pipelines to product-ready code, and collaborate with LiDAR/camera teams to deliver reliable autonomous driving solutions.

Qualifications

  • MS or PhD in Computer Science, Engineering, or a related field, or equivalent experience.
  • 8+ years of relevant industry experience applying ML to real-world problems.
  • Strong C and Python programming and debugging skills for large systems.
  • Deep practical ML experience for LiDAR/camera perception and multi-sensor fusion.
  • Experience with PyTorch or TensorFlow and solid ML math foundations.
  • Build and sustain training and metric workflows for large datasets.
  • Excellent communication and analytical skills; self-motivated and proactive.

Responsibilities

  • Model development for LiDAR/camera perception and multi-sensor fusion.
  • Design and optimize ML workflows: data pipelines, training, metrics, instrumentation.
  • Productize models from research to production on NVIDIA DRIVE AV platform.
  • Stay current with ML advances and apply techniques to improve performance.
  • Collaborate cross-functionally to translate ideas into reliable autonomous driving solutions.

Skills

C programming
Python programming
Deep learning
LiDAR perception
Multi-sensor fusion
Computer vision
Model optimization
Debugging large systems

Education

MS or PhD in CS/Engineering

Tools

Python
PyTorch
TensorFlow
CUDA
C

Job description

NVIDIA is seeking top Machine Learning Engineers to build the ML backbone for the NVIDIA DRIVE AV perception stack. You will design, train, and optimize models for LiDAR and camera perception, and drive multi-sensor fusion, in a high-performance, production environment.

You will coordinate ML workflows end-to-end, from data pipelines to product-ready code, and collaborate with LiDAR/camera teams to deliver reliable autonomous driving solutions.

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