[Remote] Senior Deep Learning Performance Engineer - Training at Scale at NVIDIA

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Computer Hardware, Software DevelopmentIndustries

Skills

Key technologies and capabilities for this role

Deep LearningPerformance AnalysisOptimizationGPU ArchitectureDeep Learning FrameworksPythonPyTorchTensorFlow 2JAXDGLGraph CompilationReduced Precision TrainingPerformance ProfilingAlgorithmsComputer ArchitectureMathematicsPhysicsProblem SolvingAnalytical Skills

Questions & Answers

Common questions about this position

What experience level is required for this Senior Deep Learning Performance Engineer role?

The role requires 5+ years of experience in DL model implementation and SW Development.

What education is needed for this position?

A BSc, MS or PhD degree in Computer Science, Computer Architecture, Mathematics, Physics or related technical field or equivalent experience is required.

What are the key skills needed for this job?

Excellent Python programming skills, extensive knowledge of at least one DL Framework, strong problem solving and analytical skills, and knowledge of Algorithms and DL fundamentals are required.

What makes a candidate stand out for this role?

Experience in performance measurements and profiling, running large-scale workloads in HPC clusters, knowledge of DevOps/MLOps practices, understanding of Linux and containerization like Docker, and GPU programming experience are ways to stand out.

What is the company culture like at NVIDIA?

NVIDIA has some of the most brilliant and forward-thinking people, values creative and autonomous individuals, and is an equal opportunity employer that values diversity.

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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