Principal Software Engineer, TensorRT-LLM at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Bachelors, Masters or higher degree in Computer Engineering, Computer Science, Applied Mathematics or related computing focused degree (or equivalent experience)
15+ years of relevant software development experience and 2+ years in an architect/tech lead role
Excellent Python or C/C++ programming and software design skills, including debugging, performance analysis, and test design
Strong understanding of GenAI serving, awareness of the latest developments in deep learning like LLMs
Experience working with LLM inference frameworks like vLLM, SGLang, etc
Experience working with deep learning frameworks like PyTorch, JAX, etc
Excellent written and oral communication skills in English
Ability to work on a fast-paced delivery-focused team
Excellent interpersonal skills
Track record of leading complex software architecture and successful products (highly desired)

Responsibilities

Architecting and guiding development of robust inferencing software that can be scaled to multiple platforms for functionality and performance
Performance analysis, optimization and tuning
Closely follow developments in the field of artificial intelligence, and evolve the code design to keep pace
Collaborate across the company to guide the direction of AI Inferencing, working with software, research and product teams

Skills

Key technologies and capabilities for this role

PythonC/C++PyTorchJAXvLLMSGLangLLM inferenceGenAI servingperformance optimizationsoftware architecturedebugging

Questions & Answers

Common questions about this position

What is the salary range for this Principal Software Engineer position?

The base salary range is 272,000 USD - 425,500 USD, determined based on location, experience, and pay of employees in similar positions. Candidates are also eligible for equity and benefits.

Is this role remote or hybrid, and where is it located?

The position is hybrid.

What skills and experience are required for this role?

Candidates need 15+ years of relevant software development experience and 2+ years in an architect/tech lead role, excellent Python or C/C++ programming skills including debugging and performance analysis, strong understanding of GenAI serving and LLMs, experience with LLM inference frameworks like vLLM and SGLang, and deep learning frameworks like PyTorch and JAX.

What is the team culture like at NVIDIA for this role?

The role requires working on a fast-paced delivery-focused team with excellent interpersonal skills, collaborating across software, research, and product teams, in a forward-thinking and hardworking environment pushing boundaries of AI and compute systems.

What makes a strong candidate for this Principal Software Engineer role?

A strong candidate has a Bachelor's, Master's or higher in Computer Engineering, Computer Science or related field, a track record of leading complex software architecture and successful products, and excellent communication skills.

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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