Senior SONiC Python Engineer at NVIDIA

Redmond, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

B.Sc. degree or equivalent experience in Engineering/Computer Science/related field
5+ years of experience as a Software Engineer
Intrinsically motivated with a desire for automation programming
Strong programming skills in Python
Strong technical abilities, problem-solving skills, coding, and design skills
Ability to lead feature development, take full ownership and deliver independently
Linux knowledge: general understanding of Linux operating system concepts

Responsibilities

Participate in an international team of software engineers working on products for testing NVIDIA products
Design and implement robust, maintainable, and efficient automation test suite
Work with Continuous integration systems and regression tools, automate builds and test suites, generate test reports, isolate and classify failures, and review new degradation
Innovate! Bring SONiC NOS to shine in customer's view

Skills

Key technologies and capabilities for this role

PythonSONiCLinuxEthernetVLANsTCP/UDP/IPQoSL2-L3 ProtocolsAutomation TestingContinuous IntegrationTest Automation

Questions & Answers

Common questions about this position

What is the salary range for this Senior SONiC Python 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 for similar positions. You will also be eligible for equity and benefits.

Is this position remote or hybrid?

This is a hybrid position.

What are the required skills for this role?

Candidates need a B.Sc. degree or equivalent in Engineering/Computer Science, 5+ years as a Software Engineer, strong Python programming skills, problem-solving and design abilities, ability to lead feature development independently, and general Linux knowledge.

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

You will participate in an international team of software engineers working on products for testing NVIDIA products, closely with NVIDIA’s development and architecture teams responsible for SONiC Network OS.

What makes a candidate stand out for this position?

Stand out with proven leadership experience leading scrums and projects, strong communication and interpersonal skills, knowledge in networking areas like Ethernet, VLANs, TCP/UDP/IP, QoS, L2-L3 protocols, and prior software testing experience with testing tools and Python expertise.

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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