Senior Machine Learning Engineer, Perception - Autonomous Driving

Nvidia

Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Posted
2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $222k
This role $236k
$168k most similar roles pay here $300k

This role pays more than 64% of similar roles. Most pay $195,875–$249,062 — the shaded band above. At the midpoint, this role pays about $236k versus about $222k for comparable roles.

Based on 239 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 563 open roles on FindRole.

Listed pay typically runs $168,000–$264,500 across 556 roles with salary data.

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At a glance

TL;DR · Senior Machine Learning Engineer, Perception - Autonomous Driving

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Join our dynamic perception team as a Senior Perception Engineer at NVIDIA, where you will lead the development of end-to-end solutions for online mapping in autonomous vehicles, focusing on robust lane detection, boundary recognition, and traffic element identification across diverse environments. Your daily tasks include designing innovative deep learning models to enhance road network detections, optimizing data collection and labeling processes, and leveraging simulation techniques to address extreme scenarios. You will also productize these advanced perception systems to meet stringent safety and latency requirements. Ideal candidates possess a strong background in computer science or engineering with extensive experience in developing deep learning algorithms for real-world applications using frameworks like PyTorch. Proficiency in Python and C++, along with expertise in Transformers, BEV architectures, and modern static-world perception techniques, is essential.

Skills

PyTorch Python C++ DeepLearning ComputerVision NVIDIA_GPUs Transformers BEV_Architectures DataSimulation EmbeddedSystems CI/CD AutonomousDriving Robotics CUDA TensorFlow PostgreSQL MongoDB Kubernetes

What you'll do

  • Design end-to-end solutions for perception modules in diverse driving environments.
  • Develop innovative deep learning models for lane graph construction and traffic element recognition.
  • Prioritize data collection and labeling to enhance perception system accuracy.
  • Leverage simulation and augmentation techniques to address extreme scenarios.
  • Productize perception solutions meeting safety, latency, and software robustness requirements.

What we're looking for

  • PhD with 4+ years, MS with 6+ years, or BS with 8+ years in Computer Science or related field.
  • Experience developing deep learning models for real-world problems using frameworks like PyTorch.
  • Hands-on experience in data-driven development and collaboration with data teams.
  • Strong programming skills in Python and/or C++.
  • Expertise in developing generalizable perception solutions for autonomous driving using deep learning.
  • Proven expertise in deploying DNN-based solutions to embedded platforms for real-time applications.
  • Experience with Transformers, BEV architectures, and modern static-world perception techniques.

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More Senior Machine Learning Engineer jobs Senior Machine Learning Engineer jobs in Santa Clara Remote Senior Machine Learning Engineer jobs All jobs at Nvidia

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