Senior Machine Learning Engineer, Prediction, Autonomous Driving

Nvidia

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Remote

Quick summary

Work type: Remote
Location: Santa Clara, CA
Salary: $224,000–$356,500 / yr
Employment: Full-time
Posted: 11 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $226k

This role $290k

$163k $377k

below market most similar roles pay here above market

This role pays more than 92% of similar roles. Most pay $196,750–$254,750 — the blue band above. At the midpoint, this role pays about $290k versus about $226k 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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

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

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As a Senior Machine Learning Engineer, Prediction - Autonomous Driving, you will join the prediction team to develop and productize autonomous driving solutions. You will design end-to-end solutions for prediction modules that produce multi-modal scene consistent predictions for other road participants across diverse environments like complex intersections and rural roads. Your daily work involves applied research and development of innovative deep learning models, including end-to-end models, while prioritizing data-driven development with large data collection and labeling teams. You will leverage data simulation and augmentation to solve extreme scenarios while ensuring product requirements for safety, latency, and software robustness are met. Required skills include proficiency in PyTorch, Python, and C++, along with expertise in deep learning, Transformers, and BEV architectures to solve sophisticated real-world problems.

What does a Machine Learning Engineer earn in California?

Median $235750 from 200 postings across 34 companies.

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Skills

Deep Learning PyTorch Python C++ Transformers BEV architectures E2E ML systems DNN Autonomous Driving Robotics Data Simulation ML

What you'll do

Design end-to-end prediction solutions for the autonomous driving stack using state-of-the-art ML techniques.
Develop and research innovative deep learning models, including end-to-end models for agent prediction.
Create generalizable approaches to support diverse operating designs and regional expansions.
Prioritize data-driven development by planning and optimizing large-scale data collection and labeling.
Utilize data simulation and augmentation to solve extreme driving scenarios.
Productize developed solutions to meet specific requirements for safety, latency, and software robustness.

What we're looking for

PhD with 6+ years, MS with 10+ years, or BS with 12+ years of experience in Computer Science, Computer Engineering, or a related field.
Hands-on experience developing deep learning models and algorithms to solve sophisticated real-world problems.
Proficiency in using deep learning frameworks such as PyTorch.
Experience in data-driven development and collaboration with data and ground truth teams.
Strong programming skills in Python and/or C++.
Outstanding communication and teamwork skills.
Proven expertise in developing generalizable ML solutions for autonomous driving or robotics (preferred).
Hands-on experience deploying DNN-based solutions to embedded platforms for real-time applications (preferred).

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