Software Verification Infrastructure Engineer

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Computer Hardware, Software DevelopmentIndustries

Requirements

Candidates must possess a Bachelor's degree in computer science, Engineering, or a related field, or equivalent experience, with at least 3 years of work experience in software development or a Verification organization. A minimum of 1 year of experience developing web applications using modern frameworks, emphasizing clean architecture and scalable code, is required. Proficiency in scripting languages like Python or Bash, expertise in development languages such as Python or C/C++, experience with SQL, and familiarity with version control systems (Perforce, Git) are essential. Excellent problem-solving and communication skills are also necessary.

Responsibilities

The Software Verification Infrastructure Engineer will collaborate with the Compiler Team to design, develop, and maintain verification tests and infrastructure. This role involves building and maintaining necessary infra/tooling, defining and creating scalable solutions for feature validation, and drafting detailed test plans and test strategies. The engineer will also provide technical guidance to junior engineers and manage multiple tasks and projects.

Skills

Compiler technologies

Verification tests

Infrastructure development

Web application development

Python

Bash

C/C++

SQL

Perforce

Git

Problem-solving

Team collaboration

AI language models (LLMs)

PostgreSQL

Microservices

Containerization

Orchestration

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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