Senior Software Developer at NVIDIA

Zurich, Zurich, Switzerland

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

High-Performance Computing, AI, Machine LearningIndustries

Requirements

B.Sc. or equivalent experience in Computer Science or Software Engineering
5 years’ experience in modern C++ / C / Rust development
3 years’ 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/IPcomputer architectureoperating systemsCUDARDMALLM inferencedistributed storageLinux internalsperformance tuningparallel programminghigh-performance computing

Questions & Answers

Common questions about this position

What compensation can I expect for this Senior Software Developer role?

NVIDIA offers highly competitive salaries, an aggressive compensation plan that rewards top performers, and a comprehensive benefits package.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills are required for this Senior Software Developer position?

Required qualifications include a B.Sc. or equivalent in Computer Science or Software Engineering, 5 years’ experience in modern C++/C/Rust development, 3 years’ experience in Linux environment, deep knowledge of the TCP/IP network stack, and understanding of computer architecture and operating systems concepts.

What is the company culture like at NVIDIA for this team?

The team thrives in a deeply strong environment, is passionate about innovation, and works in a dynamic and challenging setting on next-generation products with some of the brightest people in the industry.

How can I stand out as a candidate for this role?

Stand out with hands-on experience with LLM inference stacks, expertise in distributed storage technologies, background in Linux internals and low-level optimizations, experience programming CUDA kernels, or background in parallel programming, high-performance computing, or RDMA technology.

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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