Distinguished Planning Machine Learning Engineer - Autonomous Vehicles at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, AutomotiveIndustries

Requirements

BS/MS/PhD in computer science, electrical engineering, mechanical engineering, applied math, or related fields (or equivalent experience)
25+ years of proven experience building ML systems for autonomous vehicles or similar robotics applications
Deep understanding of large language models (LLM) and transformers
Hands-on experience building large-scale production ML systems and deploying them at scale
Experience with deep neural network (DNN) training, inference, and optimization in leading frameworks (Pytorch, Tensorflow, TensorRT, etc.)
Excellent understanding of the mathematical foundations of machine learning and deep learning
Strong research, SW development, communication, interpersonal, and analytical skills

Responsibilities

Researching, implementing, and evaluating deep-learning-based methods for prediction and planning for NVIDIA’s Autonomous Vehicle products
Leading, designing, running, and analyzing experiments and testing to evaluate the efficiency of solutions on real-world data
Partnering with system software engineering specialists to ship industrial-strength ML models
Communicating and collaborating with multi-functional teams
Developing key features for NVIDIA’s autonomous driving platform by applying machine learning to prediction, planning, and control problems
Creating innovative ML solutions for NVIDIA’s next-generation automotive products

Skills

Key technologies and capabilities for this role

PyTorchTensorFlowTensorRTTransformersLLMsDeep LearningMachine LearningDNNAutonomous VehiclesPlanningPredictionProduction ML Systems

Questions & Answers

Common questions about this position

What is the salary for this Distinguished Planning Machine Learning Engineer role?

This information is not specified in the job description.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need 25+ years of proven experience building ML systems for autonomous vehicles or robotics, deep understanding of large language models and transformers, hands-on experience with production ML systems at scale, proficiency in DNN frameworks like Pytorch and Tensorflow, and strong mathematical foundations in ML.

What is the company culture like at NVIDIA for this team?

The role emphasizes collaboration across various teams and project boundaries, along with strong communication and interpersonal skills.

What makes a candidate stand out for this position?

Prior experience as an ML planning lead, a proven publication record in ML for planning or vision, and experience building vision language action or chain-of-thought models will help candidates stand out.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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