Senior Deep Learning Researcher, LLM Inference at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

MSc/PhD in Computer Science, Electrical Engineering, or a closely related field
At least 3 years of proven experience in deep learning research or applied research
At least one publication in a top-tier AI/ML conference (e.g., NeurIPS, ICLR, ICML)
Deep understanding of LLM architectures coupled with hands-on experience in training large-scale models
Excellent programming skills, particularly in Python and deep learning frameworks like PyTorch, and experience with software engineering best practices
A strong problem-solving mentality and a proactive demeanor, driven by the ambition to deliver solutions with real-world impact

Responsibilities

Research, invent, and implement groundbreaking algorithms for LLM inference to advance the state of the art in both low-latency and high-throughput scenarios
Translate research into practical software solutions that directly impact NVIDIA's products and customers
Collaborate with internal research, engineering, and product teams across the globe to drive the development of sophisticated inference technologies
Analyze the performance of new algorithms on NVIDIA’s latest hardware, identifying bottlenecks and opportunities for algorithmic optimizations
Partner with leading scientific organizations and industry pioneers to remain at the forefront of technological advancements and integrate the latest innovations into practical applications

Skills

Key technologies and capabilities for this role

PythonPyTorchDeep LearningLLM ArchitecturesLLM InferenceLarge-scale Model TrainingSoftware Engineering

Questions & Answers

Common questions about this position

What education and experience are required for this Senior Deep Learning Researcher role?

Candidates need an MSc/PhD in Computer Science, Electrical Engineering, or a related field, at least 3 years of proven experience in deep learning research, and at least one publication in a top-tier AI/ML conference like NeurIPS, ICLR, or ICML.

What programming skills are needed for this position?

Excellent programming skills in Python and deep learning frameworks like PyTorch are required, along with experience in software engineering best practices.

What are some ways to stand out as a candidate?

Stand out with hands-on experience in LLM inference optimization like speculative decoding, HPC environments with large-scale GPU clusters, familiarity with systems like vLLM or TensorRT-LLM, or experience from a world-class research group.

What is the salary or compensation for this role?

This information is not specified in the job description.

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

This information is not specified in the job description.

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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