Senior Machine Learning Engineer, Perception - Autonomous Driving

Nvidia

Actively hiring
Remote (Us, Ca, Santa Clara, US) Posted 50 days ago $184,000–$287,500 / year
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At a glance

AI generated

TL;DR

As a Senior Perception Engineer at NVIDIA, you will join our cutting-edge team to develop and productize autonomous driving solutions, focusing on end-to-end perception modules for online mapping in diverse environments. Your daily tasks include designing deep learning models for lane graph construction, road boundary detection, and traffic element recognition, while also prioritizing data-driven development through collaboration with large data collection teams. You will leverage simulation techniques to address extreme scenarios and ensure the robustness of your solutions by meeting stringent product requirements for safety and latency. The ideal candidate has extensive experience in deep learning frameworks like PyTorch, strong programming skills in Python or C++, and a proven track record in developing generalizable perception solutions for autonomous driving using modern static-world perception techniques such as Transformers and BEV architectures.

Skills

Python C++ PyTorch DeepLearning Transformers BEV_Architectures DataDrivenDevelopment EmbeddedSystems RealTimeApplications GPU NVIDIA AutonomousDriving Robotics CI/CD

What you'll do

  • Design end-to-end solutions for perception modules in autonomous vehicles.
  • 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 techniques to address extreme scenarios in autonomous driving.
  • 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.

Market check

Salary context

This $184,000–$287,500 range sits above 67% of similar postings on FindRole.

Peer median band

$172,600–$262,400

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$188,821–$248,375

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 802 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.

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