[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

Skills

Key technologies and capabilities for this role

CUDAC++HPCAIGPU optimizationCPU optimizationAPI designKernel developmentSoftware designPythonNumpyJAXMLIR

Questions & Answers

Common questions about this position

What compensation and benefits does NVIDIA offer for this role?

NVIDIA offers competitive salaries and a generous benefits package.

Is this position remote or does it require working from an office?

This information is not specified in the job description.

What are the key required skills for the Senior Math Libraries Engineer role?

Candidates need 12+ years of experience in HPC/AI software, advanced C++ skills including modern paradigms like template meta-programming and RAII, parallel programming with CUDA/OpenCL or CPU vector programming, experience with CPU architectures like ARM/RISC-V/x86_64, and strong collaboration/communication skills. A PhD or MSc in Computer Science, Applied Math, or related field is preferred.

What is the team environment like at NVIDIA for this position?

You will work closely with internal teams like Engineering and Product Management, as well as external partners and researchers, on designing and optimizing math libraries.

What experience will make me stand out for this NVIDIA engineering role?

Stand out with a strong background in numerical methods like FFT and linear algebra, Python programming with automation tools like cmake and CI/CD, cross-compilation expertise, and experience with libraries such as PyTorch, JAX, MKL, or frameworks like OpenMP, MPI.

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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