Senior Software Engineer - NIM Production and Automation at NVIDIA

Ho Chi Minh City, Vietnam

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

History of using advanced programming skills (e.g., Python, Go) to build distributed compute systems, backend services, microservices, and cloud technologies
Experience productionizing and deploying various types of AI models (e.g., foundation models, computer vision, speech recognition)
Experience implementing robust CI/CD pipelines for automated testing and deployment
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, Cloud Endpoints, Helm, and Prometheus
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

Responsibilities

Design, build, and optimize containerized inference execution for various AI applications, ensuring efficiency and scalability (may run in container orchestration platforms like Kubernetes)
Develop and deploy automation applications and microservices (e.g., in Python, Go) supporting the NIM factory
Ensure the performance, scalability, and availability of NIMs and the automation infrastructure through comprehensive performance measurement, monitoring, and optimization
Implement and manage CI/CD pipelines for automated testing and deployment
Apply container and orchestration expertise (Docker, Kubernetes) to create and optimize the basic building blocks of NIMs and automation tooling
Collaborate, brainstorm, and improve the designs of inference solutions 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

Skills

Python

Kubernetes

Docker

CI/CD

Microservices

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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