Senior Machine Learning Engineer, Perception, Autonomous Driving

Nvidia

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Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $184,000–$287,500 / yr
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $221k

This role $236k

$162k most similar roles pay here $301k

This role pays more than 62% of similar roles. Most pay $187,850–$254,750 — the shaded band above. At the midpoint, this role pays about $236k versus about $221k for comparable roles.

Based on 240 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 892 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 870 roles with salary data.

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At a glance

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

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Senior Machine Learning Engineer, Perception - Autonomous Driving will join the perception team to develop and productize autonomous driving solutions for traffic signal understanding. This role involves designing end-to-end solutions for detecting traffic lights, signs, road markings, and construction objects across diverse environments without relying on HD maps. The engineer will conduct applied research and development of innovative deep learning models while prioritizing data-driven development by collaborating with large data collection and labeling teams to maximize data value through simulation and augmentation. Key responsibilities include ensuring product requirements for safety, latency, and software robustness are met. Required skills include proficiency in PyTorch, Python, and C++, along with experience in deep learning frameworks. The role focuses on solving complex perception problems such as object detection, recognition, and expanding capabilities across various operating domains.

What does a Machine Learning Engineer earn in California?

Median $239562 from 179 postings across 25 companies.

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Skills

Deep Learning PyTorch Python C++ Autonomous Driving Transformers BEV Architecture Visual Language Models DNN Object Detection NVIDIA GPU

What you'll do

Design end-to-end perception solutions for traffic signal detection across diverse driving environments and road types.
Research and develop deep learning models for traffic light, sign, marking, and construction object detection.
Develop generalizable approaches to support various operating domains and international expansion.
Prioritize data collection and labeling strategies to improve the accuracy of perception systems.
Utilize data simulation and augmentation techniques to solve extreme driving scenarios.
Productize perception solutions by meeting specific requirements for safety, latency, and software robustness.

What we're looking for

PhD with 4+ years, MS with 6+ years, or BS with 8+ years of experience in Computer Science, Computer Engineering, or a related field.
Proficiency in using deep learning frameworks such as PyTorch.
Strong programming skills in Python and/or C++.
Experience in data-driven development and collaboration with data and ground truth teams.
Experience in developing deep learning and algorithms to solve sophisticated real-world problems.
Technical leadership demonstrating high technical and organizational complexity (preferred).
Expertise in developing generalizable perception solutions for autonomous driving or robotics using deep learning with cameras (preferred).
Experience deploying DNN-based solutions to embedded platforms for real-time applications (preferred); expertise in VLMs, Transformers, BEV architectures, and technical publications (preferred).

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