Senior Deep Learning Algorithm Engineer

Santa Clara, California, United States

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$184,000 – $356,500Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Computer Hardware, Software Development, Artificial IntelligenceIndustries

Requirements

Candidates should possess a Bachelor’s, Master’s, or Doctoral degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience. They must have at least 8 years of experience in deep learning and deep learning systems design, demonstrating proficiency in Python and C++ programming. A strong understanding of computer architecture, GPU/parallel datacenter computing fundamentals, and a proven interest in analyzing, modeling, and tuning application performance are also required.

Responsibilities

As a Senior Deep Learning Algorithm Engineer at NVIDIA, the individual will be responsible for researching and incorporating contemporary research on generative AI, agents, and inference systems into the NVIDIA LLM software stack, conducting in-depth analysis and optimization of agentic LLM workloads to reduce latency and increase throughput, designing and implementing scalable systems to accelerate agentic workflows, and advising future iterations of NVIDIA software and hardware by engaging with diverse teams and formalizing strategic requirements.

Skills

Deep Learning

LLM inference

Python

C++

Computer Architecture

GPU computing

Parallel computing

Performance tuning

Generative AI

Agentic workflows

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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