Senior Failure Analysis Solutions Developer at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Automotive, AI, Semiconductors, Embedded SystemsIndustries

Requirements

  • 8+ years of proven experience in Embedded Software Engineering related to SoC bringup/testing/debugging
  • Bachelor’s degree in computer science, electrical engineering, or a related technical field (or equivalent experience)
  • Strong programming skills in shell and python scripting languages
  • Ability to understand and analyze C/C++/JavaScript code, identify bugs, and make modifications to improve test stress and coverage
  • Familiarity with industry-standard software development practices, including version control, code review, and testing methodologies
  • Demonstrated expertise in resolving hardware and software-related issues by applying problem-solving and fixing skills
  • Excellent communication skills and the ability to collaborate effectively in a team environment
  • Willingness to learn new technologies, tools, and methodologies, with adaptability to changing project requirements and priorities

Responsibilities

  • Developing and maintaining automation system for testing and secure boot related signing/unlocking process
  • Designing and implementing stressful tests for storage devices (DRAM, QSPI flash, eMMC, etc.), targeting no-boot failure scenarios
  • Identifying the root causes of boot/test failures in a structured way and automate the process as much as possible
  • Enhancing test automation frameworks and tools for improved efficiency and effectiveness
  • Building and integrating failure analysis toolboxes into FA framework and process flow
  • Working with the project team to integrate and automate solutions during the new product introduction phase
  • Maintaining project and solution databases, ensuring standard methodologies, requirements, and lessons learned are accessible by the organization

Skills

Python
Shell scripting
C++
C
JavaScript
Embedded Software
SoC bringup
Testing
Debugging
Automation
Version control
Code review
DRAM
QSPI flash
eMMC
Secure boot

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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