Senior Systems Software Engineer, Metropolis Blueprints 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, AI, Computer VisionIndustries

Requirements

Bachelor’s or master’s degree or equivalent experience in Computer Science, Information Systems, Engineering, or other related fields
7+ years of experience in software engineering, with hands-on experience in CI/CD, cloud infrastructure, and advanced machine learning frameworks
Proficiency with automation and orchestration tools, including Docker, Kubernetes, Jenkins, and Terraform, or similar CI/CD Tools
Experience with cloud platforms like AWS, Azure, or GCP
Strong programming skills in Python and/or other relevant languages
Experience in developing and deploying scalable software solutions
Strong analytical and problem-solving skills with a focus on practical and scalable solutions
Ability to work effectively in a collaborative environment and manage multiple tasks and projects
Familiarity with version control systems and configuration management

Responsibilities

Contribute to the development and maintenance of advanced machine learning software and frameworks, optimizing for performance and scalability
Enhance CI/CD pipelines to streamline the development, testing, and deployment of large-scale machine learning models
Implement and manage cloud infrastructure for continuous integration, delivery, and deployment, ensuring high availability and scalability
Collaborate with cross-functional teams, including engineering, QA, and research, to improve development workflows and enhance software delivery speed and quality
Troubleshoot and resolve complex issues related to software development, containerization, and cloud infrastructure in production environments
Write and maintain robust documentation for development and deployment processes
Communicate effectively with technical and non-technical stakeholders to set shared expectations and ensure visibility around the release and deployment process
Lead code reviews, testing, and debugging to ensure high-quality code and efficient workflows
Mentor and guide junior engineers, fostering professional growth and enhancing team capabilities

Skills

Machine Learning

CI/CD

DevOps

Cloud Infrastructure

Containerization

Kubernetes

Docker

Python

Software Optimization

Performance Tuning

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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