Software Engineer, CUDA-Q Libraries

California, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Computer Hardware, Software Development, Quantum ComputingIndustries

Requirements

Candidates must possess a Bachelor's degree in Computer Science, Physics, or a related engineering field, with at least 8 years of relevant work experience; a Ph.D. or Master's degree is preferred. Proficiency in C/C++ is required, along with expertise in algorithm analysis and implementation on heterogeneous systems (CPUs, GPUs, FPGAs). The role demands the ability to quickly gain expertise in new domains, experience building performant production software on large-scale projects, and strong communication and collaboration skills. Experience with quantum computing hardware, control systems, Quantum Error Correction, or implementing decoding algorithms, as well as a history of software optimizations for real-time systems, will make candidates stand out.

Responsibilities

The Software Engineer will identify and productize AI and algorithmic real-time decoding algorithms in collaboration with the Applied Research team. They will contribute to CUDA Quantum libraries by building AI training infrastructure for the Quantum Error Correction (QEC) library and developing real-time hardware and software interfaces for hybrid quantum-classical computing. Responsibilities also include solving complex problems at the intersection of HPC and quantum computing, and improving processes and infrastructure to accelerate development.

Skills

CUDA

C++

Algorithm Analysis

Real-time Systems

GPU Programming

Parallel Programming

Distributed Programming

HPC

Software Development

Machine Learning

Quantum Computing

Error Correction

Hardware Interfaces

Software Interfaces

High-Performance Computing

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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