Senior Software Engineer, Subnet Manager at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

High Performance Computing, AI, NetworkingIndustries

Requirements

BSc. or MSc. in Computer Engineering or Computer Science (or equivalent experience)
8+ years of experience as Software Engineer
Proficient knowledge in C/C++
Strong analytical skills, deep knowledge of algorithms and proficiency with data structures
Self and quick learning abilities

Responsibilities

Design, develop and optimize server application responsible for managing NVLink networks of thousands of network devices
Collaborate with multiple teams in our multi-functional environment on developing new features and improvements
Participate in the design and architecture of new next generation network solutions for super computers
Manage issues during integration, testing, deployment & QA
Work and collaborate with team members in different geographical locations

Skills

Key technologies and capabilities for this role

C++Calgorithmsdata structuresnetwork topologiesrouting algorithmsperformance optimization

Questions & Answers

Common questions about this position

What is the salary range for this Senior Software Engineer 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 position remote 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 Engineer role?

Candidates need a BSc. or MSc. in Computer Engineering or Computer Science (or equivalent), 8+ years of experience as a Software Engineer, proficient knowledge in C/C++, strong analytical skills, deep knowledge of algorithms, and proficiency with data structures.

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

NVIDIA offers a multi-functional environment with forward-thinking and hardworking people, rapid team growth, and collaboration with team members in different geographical locations. The company is committed to fostering a diverse work environment and is proud to be an equal opportunity employer.

What makes a candidate stand out for this position?

To stand out, demonstrate knowledge of network topologies design and routing algorithms, experience in performance optimizations, demonstrated use of creative ideas for challenging problems, and excellent social and written communication skills.

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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