Full-stack Software Engineer – Verification Data Platform at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

8+ Years of delivering reliable and scalable services and applications
Bachelor's degree in CS or a related field (or equivalent experience)
Proven knowledge of Java and Python
Background with Javascript/TypeScript and Node.js
Experience with design and development of distributed microservices, and detailed knowledge of object oriented design, data structures and algorithms
Excellent planning, presentation, and general communication skills
In depth understanding of locking, multi-threading and database concepts
Experience with Elastic Search, Kafka, SQL, and at least one non-relational database
Familiarity with Linux ecosystems (including development and debugging tools)
Knowledge of automated testing infrastructure
Excellent interpersonal skills

Responsibilities

Participate in the full life-cycle of tool development, test, and deployment of web applications and services for test automation and chip verification
Work closely with other team members and internal customers to understand their processes, requirements, and needs
Design interfaces that are efficient and easy to use for hundreds of engineers throughout the world
Build microservices that are reliable, scalable, and maintainable

Skills

Key technologies and capabilities for this role

JavaPythonJavaScriptTypeScriptNode.jsMicroservicesElasticsearchKafkaSQLLinuxMulti-threadingAutomated Testing

Questions & Answers

Common questions about this position

What is the base salary range for this Full-stack Software Engineer position?

The base salary range is 184,000 USD - 287,500 USD, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this position remote or hybrid, and what is the location policy?

This is a hybrid position, as indicated by the #LI-Hybrid tag.

What are the key required skills for this role?

Key requirements include 8+ years delivering reliable services, proven knowledge of Java and Python, background with Javascript/TypeScript and Node.js, experience with distributed microservices, and in-depth understanding of locking, multi-threading, and database concepts.

What is the team culture like at NVIDIA for this role?

The team is a multifaceted Agile software team with high production quality standards, working closely with team members and internal customers in a vibrant environment.

What makes a candidate stand out for this Full-stack Software Engineer position?

Candidates stand out with experience in chip design or EDA verification workflows, knowledge of JavaScript frameworks like Ember.js or Vue.js, HPC cluster experience, or familiarity with Perl, C++, and AI frameworks.

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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