Software Engineer, LLM Inference at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Automotive, TechnologyIndustries

Requirements

Masters or higher degree in Computer Engineering, Computer Science, Applied Mathematics or related computing focused degree (or equivalent experience)
3+ years of relevant software development experience
Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design
Strong curiosity about artificial intelligence, awareness of the latest developments in deep learning like LLMs, generative models
Experience working with deep learning frameworks like PyTorch
Proactive and able to work without supervision
Excellent written and oral communication skills in English
Strong customer communication skills, powerfully motivated to provide highly responsive support as needed

Responsibilities

Craft and develop robust inferencing software that can be scaled to multiple platforms for functionality and performance
Performance analysis, optimization and tuning
Closely follow academic developments in the field of artificial intelligence and feature update
Collaborate across the company to guide the direction of machine learning inferencing, working with software, research and product teams

Skills

Key technologies and capabilities for this role

C++PyTorchCUDATensorRTLLM inferenceperformance optimizationdebuggingdeep learningsoftware designtest design

Questions & Answers

Common questions about this position

What degree is required for the Software Engineer, LLM Inference role?

A Masters or higher degree in Computer Engineering, Computer Science, Applied Mathematics or related computing focused degree (or equivalent experience) is required.

What are the key skills needed for this position?

The role requires excellent C/C++ programming and software design skills including debugging, performance analysis, and test design; experience with deep learning frameworks like PyTorch; and strong curiosity about AI with awareness of latest developments in deep learning like LLMs.

Where is this job located?

The position is based in Shanghai.

What experience level is required?

3+ years of relevant software development experience is required.

What soft skills are important for this role?

Proactive ability to work without supervision, excellent written and oral communication skills in English, and strong customer communication skills with motivation to provide highly responsive support.

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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