LLM Reinforcement Learning Algorithm Engineer at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

Proficient in C++/Python programming
3+ years working experience
BS or MS (or equivalent experience) in CS, CE, EE, or a related field
Proven experience in reinforcement learning and its application to large language models
Strong background in mathematics and AI algorithms, with a focus on reinforcement learning
Demonstrated history of applying reinforcement learning algorithms in practical scenarios
Understanding of GPU architecture (huge plus)
Excellent problem-solving skills and the ability to work collaboratively in a dynamic team environment
A passion for innovation and a dedication to achieving outstanding results

Responsibilities

Developing and introducing groundbreaking reinforcement learning algorithms tailored for LLM applications
Collaborating with a world-class team of engineers and researchers to integrate these algorithms into applied scenarios
Using extensive expertise in math and AI to improve the reasoning capabilities of models
Engaging in rigorous testing and refinement processes to ensure flawless performance and reliability
Contributing to the collective goal of delivering industry-leading AI solutions, strictly adhering to NVIDIA's high standards

Skills

Key technologies and capabilities for this role

C++PythonReinforcement LearningLLMAI AlgorithmsMathematicsGPU Architecture

Questions & Answers

Common questions about this position

What is the location for this role?

The role is based in China and requires joining the team there.

What programming skills are required?

Proficiency in C++/Python programming is required.

What experience is needed for this position?

Candidates need 3+ years of working experience, proven experience in reinforcement learning applied to large language models, and a BS or MS in CS, CE, EE, or related field.

What does the team environment look like?

You will collaborate with a world-class team of engineers and researchers in a dynamic team environment, adhering to NVIDIA's high standards.

What makes a strong candidate for this role?

Strong candidates have a strong background in mathematics and AI algorithms focused on reinforcement learning, demonstrated practical application of these algorithms, understanding of GPU architecture, excellent problem-solving skills, and a passion for innovation.

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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