Intelligent machines powered by Artificial Intelligence computers that can learn, reason, and interact with people are no longer science fiction. Today, a self-driving vehicle powered by AI can meander through a country road at night and find its way. NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots, and self-driving vehicles that can perceive and understand the world.
Our team is building the machine learning backbone of the Perception component for NVIDIA DRIVE AV. We are seeking the best Machine Learning Engineers with a background in computer vision, LiDAR & camera perception, and AI infrastructure who are passionate about solving the hardest problems for self-driving cars. Are you interested in inventing human-level AI for perception in the unconstrained world under any conditions? If so, join us!
What You'll Be Doing:
Model Development: Design, train, and optimize innovative machine learning models for LiDAR perception (e.g., road element detection, semantic segmentation, tracking).
Develop and coordinate entire ML workflows, covering data pipelines, model training, model metrics, continuous performance instrumentation, and reporting.
Productization: Take ML models and algorithms from initial evaluation and experimentation all the way to shipping them as part of the NVIDIA DRIVE AV platform, developing highly efficient product code in C++.
Innovation: Keep track of the latest developments in machine learning, and incorporate techniques that improve platform performance.
Collaborate with LiDAR/camera teams, developers, engineers, and managers to turn complex ideas into reliable solutions for autonomous driving.
What We Need to See:
BS or MS in Computer Science, Engineering, or a related field, or equivalent experience.
6+ years of relevant proven industry experience applying machine learning to address real-world problems.
Strong C++ and Python programming and debugging skills with experience in developing for large, complex systems.
Deep practical experience applying machine learning to lidar/camera perception in automotive or related fields.
Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and a strong understanding of the mathematical foundations of ML.
Building and sustaining training and essential metric workflows for large-scale datasets.
Excellent communication and analytical skills. Self-motivated drive to solve hard problems.
Ways to Stand Out From the Crowd:
LiDAR or Camera Perception Experience: Proven track record of developing and shipping deep learning models for LiDAR/Camera in a production environment.
Advanced Model Knowledge: Familiarity with modern network architectures like Transformers and their application to visual recognition tasks.
AV Production Experience: A history of delivering ML features and models into a production autonomous vehicle stack or a related robotics product.
Performance Optimization: Experience with model optimization for real-time inference on embedded or automotive platforms (e.g., using TensorRT).
We believe that realizing self-driving vehicles will be a defining contribution of our generation (e.g., traffic accidents are responsible for ~1.25 million deaths per year worldwide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most brilliant and talented people in the world working here. If you're creative and autonomous, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills Required
- BS or MS in Computer Science, Engineering, or related field, or equivalent experience.
- 6+ years of relevant industry experience applying machine learning to real-world problems.
- Strong C++ and Python programming and debugging skills with experience in developing for large, complex systems.
- Deep practical experience applying machine learning to lidar/camera perception in automotive or related fields.
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and strong understanding of ML mathematical foundations.
- Building and sustaining training and metric workflows for large-scale datasets.
- Excellent communication and analytical skills; self-motivated drive to solve hard problems.
- Proven track record of developing and shipping deep learning models for LiDAR/Camera in production environments.
- Familiarity with modern architectures like Transformers for visual tasks.
- History of delivering ML features into production autonomous vehicle or robotics stacks (AV production experience).
- Experience with model optimization for real-time inference on embedded or automotive platforms (e.g., using TensorRT).
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
