Senior Software Engineer – Build Tools at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorIndustries

Requirements

Bachelor's degree (or higher) in Computer Science or Computer Engineering or equivalent experience
5+ years of software development experience
Experienced with OOP, Perl/Python/C++, Unix/Linux
Solid understanding of data structures, algorithms (e.g., graphs, DAG), computer architecture and computer science theory
Flexibility/adaptability for working in a global and dynamic environment with different frameworks and requirements
Proficiency in SCM (e.g., Git, Perforce) and build systems (e.g., Make, CMake, makepp, Bazel)
Experience with distributed computing systems such as LSF

Responsibilities

Work as a team to develop and maintain reliable, scalable and highly intelligent build systems that run hundreds of thousands of jobs each day
Develop scalable tools to collect, analyze and visualize the performance and health of the build system
Develop responsive services for users to quickly search through source files and logs
Research and develop software solutions to allow greater efficiency in architecture, hardware and software teams

Skills

Key technologies and capabilities for this role

PythonC++PerlUnixLinuxOOPData StructuresAlgorithmsGraphsDAGGitPerforceMakeCMakeBazel

Questions & Answers

Common questions about this position

What is the salary range for this Senior Software Engineer position?

The base salary range is 148,000 USD - 287,500 USD, determined based on location, experience, and pay of employees in similar positions. Candidates are also eligible for equity and benefits.

Is this a remote position, or is there a specific location requirement?

This information is not specified in the job description.

What skills are required for this Senior Software Engineer role?

Candidates need a Bachelor's degree in Computer Science or equivalent, 5+ years of software development experience, proficiency with OOP, Perl/Python/C++, Unix/Linux, and solid understanding of data structures, algorithms, computer architecture, and computer science theory.

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

The team works collaboratively in a global and dynamic environment, requiring flexibility and adaptability to different frameworks and requirements while developing reliable, scalable build systems.

What makes a candidate stand out for this position?

Proficiency in SCM tools like Git or Perforce, build systems like Make, CMake, makepp, or Bazel, and experience with distributed computing systems such as LSF will help candidates stand out.

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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