Senior Software Engineer, Full Stack at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, Cloud ComputingIndustries

Requirements

BS/MS/PhD in Computer Engineering, Computer Science or equivalent experience
12+ years of software engineering experience delivering production web systems
Data engineering experience with large-scale data lakes; proven ability to build and operate pipelines over very large datasets and support OLAP workloads at scale
Strong stakeholder collaboration: ability to actively listen, translate complex use cases into clear technical requirements and features, and design data models that align with business logic and outcomes
Cloud expertise (AWS/GCP/Azure), infrastructure as code, containers, and orchestration (Docker/Kubernetes); mature CI/CD and safe deploy strategies
Depth across the stack: modern SPA frameworks (React/Next.js or Vue/Nuxt), TypeScript/JavaScript, and one or more back-end languages (Node.js, Java, or Python)
Proficient in API design (REST and/or GraphQL), schema evolution, and integration patterns, with a strong commitment to rigorous automated testing practices
Clear written and verbal communication and drives alignment via design docs

Responsibilities

Lead architecture and delivery of high-scale web applications across front end, services, and data with clear reliability and performance targets (SLOs/SLAs)
Own multi-team initiatives end to end: discovery, RFCs/design reviews, phased rollouts, and measurable impact on product and business outcomes
Establish engineering standards, reusable platforms/design systems, and microservice/event patterns that reduce complexity and long-term tech debt
Mentor and sponsor engineers; raise the bar on code quality, testing, security, and observability through reviews, pairing, and coaching
Partner with product, design, data, and security to shape roadmaps, align trade-offs, and de-risk critical launches

Skills

Full Stack

Cloud Infrastructure

Web Applications

Microservices

Data Engineering

Data Lakes

Pipelines

OLAP

SLOs

SLAs

RFCs

Design Reviews

Observability

Kubernetes

AWS

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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