Senior Developer Technology Engineer, Public Sector at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

NoVisa

Public SectorIndustries

Requirements

MS or PhD degree or equivalent experience in an engineering or computer science related field
Programming fluency in C/C++ with a deep understanding of software design, programming techniques, and algorithms
Strong computer science fundamentals, including parallel data structures and algorithms, combinatorics, and sparse representations
5+ years of relevant work experience with parallel programming, ideally CUDA C/C++, OpenMP or MPI, or SHMEM (OpenSHMEM or NVSHMEM)
US Citizenship

Responsibilities

Work directly with key application developers to understand current and future problems, craft and optimize core parallel algorithms and data structures for GPUs, through reference code development, direct contribution to the full software stack including libraries, applications, and high productivity software environments (e.g. Python)
Collaborate closely with diverse groups at NVIDIA such as architecture, research, libraries, tools, and system software teams to influence the design of architectures, software, and programming models by investigating impact on application performance and developer productivity
Research and develop techniques to GPU-accelerate leading applications in fields targeting the federal ecosystem
Perform in-depth analysis and optimization to ensure the best possible performance on current and next-generation GPU architectures
Occasional travel for conferences and on-site visits with developers

Skills

C/C++

CUDA

OpenMP

MPI

NVSHMEM

Python

parallel algorithms

parallel data structures

GPU optimization

software design

algorithms

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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