[Remote] Senior Math Libraries Engineer, CPU and GPU Optimization at NVIDIA

Germany

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Computer Hardware, Artificial Intelligence, High-Performance ComputingIndustries

Requirements

Candidates should possess a PhD or MSc degree in Computer Science, Applied Math, or a related field, or equivalent experience, along with over 12 years of experience in designing and developing software for high-performance computing and/or AI applications. Advanced C++ skills, including modern design paradigms, parallel programming experience with CUDA, OpenCL, or CPU vector programming (AVX, NEON), and strong collaboration, communication, and documentation habits are essential. Experience with ARM, RISC-V, and/or x86_64 CPU architectures is also required.

Responsibilities

The role involves designing modern, flexible, and easy-to-use APIs and kernels for math libraries, leading design reviews, and working closely with internal and external partners to understand use cases and requirements. Responsibilities include delivering timely math library releases to customers and becoming a domain expert by continuously surveying current trends in software systems.

Skills

CUDA

C++

HPC

GPU optimization

CPU optimization

API design

Kernel development

Software design

Python

Numpy

JAX

MLIR

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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