Senior Switch Firmware Engineer at NVIDIA

Beijing, China

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Networking, AI, HPCIndustries

Requirements

  • B.Sc. in Computer Science / Computer Engineering / Electrical Engineering
  • 5+ years of relevant professional experience
  • Proficient knowledge of C
  • Strong analytical, creative, debugging and problem-solving skills
  • Excellent understanding of embedded SW and real-time programming
  • Strong programming skills in Python
  • Detail-oriented and comfortable with multitasking in a dynamic environment with shifting priorities and changing requirements
  • An excellent teammate with good social skills

Responsibilities

  • Design and implement new features in the core of NVIDIA Switch firmware
  • Collaborate with architecture and different software design teams as part of the software development lifecycle
  • Work in pre and post-silicon development environments for next-generation NVIDIA networking products
  • Gain a deep understanding of system debugging, networking technology, and stacks, as well as the HW/FW/SW relationship
  • Innovate! Bring NVIDIA’s FW switching products to shine in customer’s view

Skills

Key technologies and capabilities for this role

CPythonEmbedded SoftwareReal-time ProgrammingLinux KernelNetwork ProtocolsBashDebuggingAgile

Questions & Answers

Common questions about this position

What education and experience are required for the Senior Switch Firmware Engineer role?

A B.Sc. in Computer Science, Computer Engineering, or Electrical Engineering is required, along with 5+ years of relevant professional experience.

What key skills are needed for this position?

Proficiency in C and strong Python programming skills are required, along with excellent analytical, debugging, problem-solving skills, and understanding of embedded software and real-time programming.

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

The work environment is dynamic, meaningful, and fast-paced, with talented engineers around the globe.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What qualities make a candidate stand out for this role?

Candidates stand out with knowledge of network protocols, background in Linux internals, Agile experience, motivation to learn and improve processes, and scripting abilities in Python and Bash.

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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