Senior Manager, Accelerated Compute Systems at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

AI, Machine Learning, High-Performance Computing, Automotive, DatacenterIndustries

Requirements

Bachelor's Degree (or equivalent experience) in Computer Science, Electrical Engineering, or related field
10+ overall years of industry experience, with at least 4 of those years in a management role
Strong foundation in mathematics, especially linear algebra and numerical methods
Passion for performance optimization and system-level thinking
Experience with GPU programming models such as CUDA or OpenCL
Familiarity with multi-node communication APIs like MPI or OpenSHMEM/NVSHMEM
Proficiency in C/C++, with a solid grasp of software design, algorithms, and programming techniques
Experience with threading APIs for multicore CPUs and Unix-style IPC
Working knowledge of Python
Excellent communication, organization, and problem-solving skills

Responsibilities

Leading a team of accelerated compute architects
Collaborating closely with hardware design, software engineering, product, and research teams to shape the direction of NVIDIA’s computing platforms
Conducting in-depth performance analysis and optimization for current and next-generation NVIDIA GPUs
Designing and refining core parallel algorithms, data structures, and reference implementations for GPU acceleration
Exploring the interaction between hardware and software architectures to improve programming models and application performance
Engaging in software-hardware co-design through deep dives into accelerated computing applications

Skills

CUDA

OpenCL

MPI

NVSHMEM

C++

Python

Linear Algebra

Numerical Methods

GPU Programming

Performance Optimization

Parallel Algorithms

Multithreading

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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