[Remote] Senior Software Developer, AI Networking at NVIDIA

Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

B.Sc. or equivalent experience in Computer Science or Software Engineering
6+ years of experience in modern C++ / C / Rust development
3 years of experience in Linux environment and familiarity with development tools
Deep knowledge of the TCP/IP network stack
Understanding of computer architecture and operating systems concepts

Responsibilities

Developing a highly optimized inference framework running on the world’s largest supercomputers and data centers

Skills

Key technologies and capabilities for this role

C++CRustLinuxTCP/IPCUDARDMAGPU Kernelscomputer architectureoperating systemsperformance tuningparallel programminghigh-performance computingML frameworks

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

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

This information is not specified in the job description.

What skills are required for this Senior Software Developer role?

Required qualifications include a B.Sc. or equivalent in Computer Science or Software Engineering, 6+ years of experience in modern C++/C/Rust development, 3 years in Linux environment with development tools, deep knowledge of TCP/IP network stack, and understanding of computer architecture and operating systems concepts.

What is the company culture like at NVIDIA?

NVIDIA thrives as a team in a deeply strong environment, passionate about innovation, with a dynamic and challenging work environment focused on next-generation products. They have some of the brightest, most forward-thinking, and hardworking people, fostering diversity and equal opportunity.

What makes a candidate stand out for this role?

Candidates stand out with background in Linux internals and low-level optimizations, experience programming CUDA kernels, familiarity with ML frameworks and LLMs, or background in parallel programming, high-performance computing, or RDMA technology. Being a creative and autonomous engineer with passion for technology is highly valued.

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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