Firmware Engineer at NVIDIA

Beijing, China

NVIDIA Logo
Not SpecifiedCompensation
Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Networking, SemiconductorsIndustries

Requirements

  • Bachelor’s degree and above in EE or equivalent experience
  • 3+ years of relevant working experience
  • Proven strong capability in C programming. Knowledge of OO, C++, Python, Shell script is plus
  • Hands-on experience in embedded system design. Knowledge of embedded SoC architecture, network protocols. Be familiar with data structure and embedded OS
  • Writing & speaking English fluently, be able to read English technical document and organize meetings in English

Responsibilities

  • Engage in next-generation SmartNIC firmware development
  • Validate the functionalities of firmware and silicon design before tape-out, bring up new silicon when tape-out is done
  • Implement new features for congestion control, virtualization, QoS, etc
  • Support local customers to resolve issues in deployment
  • Supply creative ideas to improve products and efficiency

Skills

Key technologies and capabilities for this role

CC++PythonShell scriptingEmbedded systemsSoC architectureNetwork protocolsData structuresEmbedded OSVerilogVHDLRDMAFirmware developmentCongestion controlVirtualizationQoS

Questions & Answers

Common questions about this position

What are the required qualifications for the Firmware Engineer role?

Candidates need a Bachelor’s degree or above in EE or equivalent experience, 3+ years of relevant working experience, strong capability in C programming, hands-on experience in embedded system design, and fluency in writing and speaking English.

What does the work environment at NVIDIA look like for this team?

The work environment is versatile, educational, dynamic, and challenging, with hardworking colleagues focused on innovative next-generation networking devices.

What are the main responsibilities of the Firmware Engineer?

Responsibilities include engaging in next-generation SmartNIC firmware development, validating firmware and silicon design, implementing features like congestion control and QoS, supporting customers, and supplying creative ideas to improve products.

What qualities make someone stand out for this position?

Stand out by being a self-starter, energizing, responsible, phenomenal teammate with enthusiasm, determination, flexibility, and experience with Verilog, VHDL, or RDMA.

Is the salary or compensation specified for this Firmware Engineer role?

This information is not specified in the job description.

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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