Senior Software Engineer, SONiC at NVIDIA

Redmond, Washington, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, NetworkingIndustries

Requirements

B.Sc degree in Computer Science or related fields (including studied EE) or equivalent experience
3-5 years of experience in development
Knowledge in Networking protocols
Experience with C++ and Python programming
Fast and self learner with outstanding technical skills
Great teammate with strong communication and interpersonal skills
Proven understanding of Networking
Ability to work in a dynamic and diverse team
Strong interpersonal skills and passion for working as a team

Responsibilities

Design, integrate and deliver new features as part of the SONiC release train on top of NVIDIA Networking products
Work in a Continuous Deployment environment with fast development/deployment cycles
Work with experienced teams in and outside of NVIDIA Networking, well known in the SONiC community
Develop high quality code; all code is open source and published and reviewed in industry leading open source environments
Lead development efforts for new SONiC networking features
Lead chassis management for all NVIDIA Networking products

Skills

Key technologies and capabilities for this role

C++PythonNetworking protocolsSONiCSAILinux programmingShell scriptingScrum

Questions & Answers

Common questions about this position

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

The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4, 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 office work?

This information is not specified in the job description.

What skills are required for this Senior Software Engineer role?

Required skills include a B.Sc degree in Computer Science or related fields, 3-5 years of development experience, knowledge in Networking protocols, experience with C++ and Python programming, and strong communication and interpersonal skills.

What is the team environment like at NVIDIA for this role?

You will work in a dynamic and diverse team with experienced teams in and outside of NVIDIA Networking, in a Continuous Deployment environment with fast development cycles, developing high-quality open source code reviewed in industry-leading environments.

What makes a candidate stand out for this position?

Candidates stand out with experience in L2 and L3 Networking protocols, SONiC/SAI or open source projects, Linux programming, Linux shell scripting, and Scrum methodology.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free