Compiler Debug Verification Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Bachelor’s or Master’s Degree in Computer Science/Computer Engineering or equivalent experience
3+ years’ work experience in a software development or test organization
Deep understanding of Software Development Process (SDLC), High-Performance Computing (HPC), and Software Testing Methodologies
Expertise in compilers / Low-level software tools, understanding how they work and are implemented, with a proven track record to solve problems and implement solutions
Ability to simplify sophisticated code to reproducible errors with minimal external dependencies
Experience in writing test plans, test development, test automation, test execution, and reporting in a production environment
Proficiency in programming and/or testing in C/C++/CUDA and Python languages
Knowledge of deep learning frameworks such as PyTorch, TensorRT, JAX and Numba as well as other deep learning applications is highly desired
Excellent communication skills, self-motivated, and well-organized

Responsibilities

Investigate the fascinating world of object files and executables generated by Compute and DSL compilers; Design and enhance tools to inspect them and make them iron clad
Immerse yourself in debugger internals and debug information generated for correctness and efficiency
Analyze performance degradation or functional defects in compute and DSL compilers, identify root causes of regressions, suggest corrective actions, and perform reviews to continuously improve testing
Automate compiler testing using NVIDIA test frameworks and programming. This includes test execution, test reporting, results analysis, and automation of build and test environments
Collaborate with software compiler developers to provide automated solutions for unit testing
Apply current iterative planning and test development processes. Identify potential gaps in existing test coverage and work on closing test gaps

Skills

compiler verification

debugger internals

object files

executables

DSL compilers

test automation

unit testing

NVIDIA test frameworks

performance analysis

regression analysis

build automation

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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