Senior Full-Stack Software Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Driving, AI, TechnologyIndustries

Requirements

Master's degree (M.S.), or a Bachelor's degree (B.S.) in Computer Science, Software Engineering, Electrical Engineering, or a closely related technical field (or equivalent experience)
Minimum 10+ years of hands-on experience developing and deploying scalable full-stack web services in a production cloud environment
Deep expertise and proven track record in a modern frontend framework (e.g., React, Vue, Angular), focusing on building complex, scalable, and highly performant data-intensive UIs
Mastery of TypeScript and JavaScript for robust client-side development and state management architecture
Proven proficiency in developing backend systems that handle high volume and growth using Python and/or Go
Hands-on experience implementing and consuming APIs built with Protocol Buffers, involving both service-to-service communication and HTTP-based endpoints
Solid practical experience with containerization using Docker and exposure to orchestration tools like Kubernetes and Helm
Experience with cloud services, particularly AWS S3, and familiarity with SQL for data management
Demonstrated knowledge of CI/CD practices along with experience using source control platforms like GitLab
Experience with MaaS (Model-as-a-Service) patterns and serving large machine learning models as high-throughput endpoints

Responsibilities

Lead the hands-on development of the platform's user interface, including architecting state management, optimizing rendering performance, and building reusable component libraries to support complex scenario configuration and high-frequency data visualization
Build, develop, and deliver high-quality, full-stack features from concept through deployment, ensuring alignment with the architectural vision established by the Tech Lead
Write clean, performant, and maintainable production code for both frontend interfaces (using modern frameworks) and distributed backend services (using Python/Go)
Implement and manage integrations with core APIs (gRPC and REST) and data infrastructure (SQL, AWS S3, Kratos tables) to support high-frequency data flows
Help maintain and improve CI/CD pipelines in GitLab and Jenkins, and support the deployment and upkeep of containerized services managed by Docker and Kubernetes/Helm
Actively participate in the code review process, upholding and enforcing high coding and performance standards set by the Tech Lead
Identify, debug, and resolve complex technical issues, performance bottlenecks, and operational incidents in production environments
Work closely with the Tech Lead and multi-functional teams (ML Engineers, Product Managers) to accurately estimate, plan, and implement project work

Skills

Full-Stack

React

Python

gRPC

REST

SQL

AWS S3

Docker

Kubernetes

Helm

GitLab

Jenkins

CI/CD

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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