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NVIDIA
NVIDIA

Pioneering accelerated computing and AI

GPU Firmware Engineer

RoleEmbedded
LevelMid Level
LocationTaiwan, Taipei
WorkOn-site
TypeFull-time
Posted1 month ago
Apply now

Required skills

Python

Go

Linux

Spark

As a Firmware Engineer you need to develop security and MCU firmware/software, Display firmware/software and GPU Diagnostic software for the next generation NVIDIA DGX/MGX servers, GPU baseboard, and Tesla boards. You will participate in a focused effort to develop and productize ground-breaking solutions that will be applied on many NVIDIA products. You'll find the work is exciting, fun, and meaningful. We have deadlines, customers, and competitions. We are the leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing and self-driving cars. As a key member of our firmware team, you will be a key leader responsible for the Firmware of our DGX/GPU software stack.

What you'll be doing:

  • Be involved in the definition, architectural design, and development of security/MCU firmware for NVIDIA DGX products with an opportunity to craft its future.

  • Assist with defining and making sure the software development process meets security standards.

  • Perform security threat modelling for our software.

  • Design and/or make recommendations for security/MCU/CorePDK solutions that apply to our software to satisfy DGX/GPU server guidelines and requirements.

  • Design Firmware tool and Display Firmware to make sure DGX/GPU products go for production smoothly.

  • Design Diagnostic software to help validate GPU HW with good performance and quality.

What we need to see:

  • Masters or higher in electrical engineering, computer science, or computer engineering (or equivalent experience).

  • 5+ years of significant software development experience.

  • Have software/firmware design, development, analysis or equivalent experiences.

  • Experience in building and implementing embedded software/drivers. Familiarity with DMTF PLDM, MCTP, SPDM standards is a plus.

  • Background in embedded software development in Linux environment. Backgrounds with FreeRTOS/Zephyr, RISCV or security technologies: Root of Trust, etc. are a plus

  • Plus to be experienced in threat modeling and modeling attack-vectors.

  • Strong programming skills in Ada/Spark, C/C++/Python, algorithms, and data structures. Background with SBIOS and BMC firmware is a plus.

  • Strength being hands-on with development in addition to experience in software security. Deep understanding of computer architecture, operating system fundamentals.

  • A strong teammate; self-motivated with a positive attitude; with a motivation to learn, grow and build.

Ways to stand out from the crowd:

  • A successful candidate should be able to work independently and highly self-motivated. He or she should drive issues with little or no supervision.

  • A key success for this position is not only a thorough understanding of system architecture, security and software, but also solid grasp of system design, use case requirements and software stacks.

  • Excellent communication skills, flexibility in task assignments and working under pressures are also indispensable for this candidate.

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About NVIDIA

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

Employees

Santa Clara

Headquarters

$4.57T

Valuation

Reviews

10 reviews

4.4

10 reviews

Work-life balance

2.8

Compensation

4.5

Culture

4.2

Career

4.3

Management

3.8

78%

Recommend to a friend

Pros

Cutting-edge technology and innovation

Excellent compensation and benefits

Great team culture and collaboration

Cons

High pressure and expectations

Poor work-life balance and long hours

Fast-paced environment leading to burnout

Salary Ranges

79 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

7 reports

$170,275

total per year

Base

$130,981

Stock

-

Bonus

-

$155,480

$234,166

Interview experience

5 interviews

Difficulty

3.0

/ 5

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience