Senior Research Engineer at NVIDIA

Santa Clara, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, SoftwareIndustries

Requirements

BS, MS or PhD in Computer Science, AI, Applied Math, or related fields or equivalent experience
3+ years of proven experience in machine learning, systems, distributed computing, or large-scale model training
Experience with AI Frameworks such as Pytorch or JAX
Experience with at least one inference and deployment environments such as vLLM, SGLang or TRT-LLM
Proficient in Python programming, software design, debugging, performance analysis, test design and documentation
Strong understanding of AI/Deep-Learning fundamentals and their practical applications

Responsibilities

Work with applied researchers to design, implement and test next generation of RL and pos-training algorithms
Contribute and advance open source by developing NeMo-RL, Megatron Core, and NeMo Framework and yet to be announced software
Solve large-scale, end-to-end AI training and inference challenges, spanning the full model lifecycle from initial orchestration, data pre-processing, running of model training and tuning, to model deployment
Work at the intersection of computer-architecture, libraries, frameworks, AI applications and the entire software stack
Performance tuning and optimizations, model training with mixed precision recipes on next-gen NVIDIA GPU architectures
Publish and present your results at academic and industry conferences

Skills

Key technologies and capabilities for this role

Machine LearningDistributed ComputingLarge-Scale Model TrainingPytorchJAXPythonSoftware DesignDebuggingPerformance AnalysisTest DesignDocumentationAI/Deep-Learning FundamentalsRLNeMo-RLMegatron CoreNeMo FrameworkvLLMSGLangTRT-LLM

Questions & Answers

Common questions about this position

What is the salary range for this Senior Research Engineer position?

The base salary range is 160,000 USD - 258,750 USD for Level 3, and 184,000 USD - 299,000 USD for Level 4, determined based on location, experience, and pay of employees in similar positions.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need a BS, MS or PhD in Computer Science, AI, Applied Math or related fields, 3+ years in machine learning, systems, distributed computing or large-scale model training, experience with AI frameworks like PyTorch or JAX, inference environments like vLLM or TRT-LLM, and proficiency in Python with strong AI/Deep-Learning fundamentals.

What is the company culture like at NVIDIA?

NVIDIA is considered one of the technology world’s most desirable employers with forward-thinking and hardworking people, valuing creative and autonomous individuals.

What makes a candidate stand out for this position?

Stand out with contributions to open source deep learning libraries, hands-on experience in large-scale AI training with core compute system concepts, expertise in distributed computing, model parallelism, mixed precision training, prior experience with Generative AI for LLMs and multi-modal learning, and knowledge of GPU/CPU architecture.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free