Senior Software Engineer, Enterprise AI Software at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

History of using advanced programming skills to build distributed compute systems, backend services, microservices, and cloud technologies
Experience productionizing and deploying LLM models
Effective experience working with multi-functional teams, principals, and architects across organizational boundaries
Mentorship and the ability to grow teams and team members
Deep technical expertise in distributed containerized applications using Docker, Kubernetes, Helm Charts
Passion for building scalable and performant microservice applications
Excellent interpersonal skills and the flexibility to lead multi-functional efforts
Proven experience debugging and analyzing the performance of distributed microservices or cloud systems
A degree in Computer Science, Computer Engineering, or a related field (BS or MS) or equivalent experience
6+ years of demonstrated experience in developing performant microservices, cloud software, and/or tooling roles
Ways to stand out
Experience with open-source inference engines and serving stacks
Experience benchmarking the speed and accuracy of generative AI models
Prior experience in building and deploying containers for microservices, cloud, and on-prem deployments, along with their associated CI/CD pipelines
Previous work in large-scale backend development

Responsibilities

Design, build, and optimize containerized inference execution for LLM applications, ensuring efficiency and scalability. These applications may run in container orchestration platforms like Kubernetes to enable scalable and robust deployment
Ensure the performance and scalability of NIMs through comprehensive performance measurement and optimization
Apply container expertise to create and optimize the basic building blocks of NIMs, influencing the development of many models and related products within NVIDIA
Collaborate, brainstorm, and improve the designs of inference solutions and APIs with a broad team of software engineers, researchers, SREs, and product management
Mentor and collaborate with team members and other teams to foster growth and development. Demonstrate a history of learning and enhancing both personal skills and those of colleagues

Skills

Kubernetes

Docker

LLM

Containers

Inference

APIs

GPU

Performance Optimization

Metrics

SRE

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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