System Validation Engineer

Solidigm Inc.

Región Centro

In loco

MXN 420.000 - 620.000

Tempo pieno

14 giorni+

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Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Solidigm in Zapopan, Mexico is seeking an engineer to lead complex validation, debugging, and failure analysis for enterprise SSDs. You will partner with validation, firmware, and architecture teams to drive root-cause investigations and define robust debug strategies.

The role emphasizes data-driven insights, automation initiatives, and improvements to validation methodologies, with a focus on delivering world-class reliability and customer satisfaction through cross-functional collaboration.

Competenze

  • 3+ years of validation, debug, or related engineering experience.
  • Strong Linux troubleshooting and scripting skills.
  • Excellent English communication and able to work onsite in Zapopan.

Mansioni

  • Lead complex validation, debugging, and failure analysis activities for enterprise SSDs.
  • Collaborate with validation, firmware and architecture teams to drive root cause investigations.
  • Define debug strategies, improve validation methodologies, and influence product designs with data-driven insights.
  • Contribute to automation initiatives, debug tool development, and test framework improvements.

Conoscenze

Validation engineering
Firmware development
Hardware debugging
Linux troubleshooting
Python scripting
Technical writing
English communication
Cross-functional leadership

Formazione

Bachelor’s Degree or higher

Strumenti

PCIe analyzers
NVMe protocol analyzers
Oscilloscopes
Hardware debugging tools

Descrizione del lavoro

Join a multibillion-dollar global company that brings together amazing technology, people, and operational scale to become a powerhouse in the memory industry. Headquartered in Rancho Cordova, California, Solidigm combines elements of an established, successful technology company with the spirit, agility, and entrepreneurial mindset of a start-up. In addition to the U.S. headquarters and other facilities in the U.S., the company has international presence in Asia, Europe, and the Americas. Solidigm will continue to lead the world in innovating new Memory technologies with aspirations to be the #1 NAND memory company in the world. At Solidigm, we view problems as opportunities to define innovative solutions that hold the power to change the world and unleash the potential technological needs that the future holds. At Solidigm, we are One Team that fosters a diverse, equitable, and inclusive culture that embraces individual uniqueness and empowers us to bring our best selves to deliver excellence in support of Solidigm's vision and mission to be the go-to partner for optimized data storage solutions. You can be part of the takeoff of an innovative business that develops cutting-edge products, delivers strong business value for customers, provides an engaging workplace for its employees, and serves a greater impact on the world. This is a golden opportunity for the right applicant to join us and help design, build, and lead Solidigm. We want a diverse team of dedicated professionals who will not just be Solidigm team members but contribute to how we shape the future of the organization. We are seeking applicants who will grow and thrive in our culture; be customer inspired, trusting, innovative, team-oriented, inclusive, results driven, collaborative, passionate, and flexible.

Job Description

The successful candidate will lead complex validation, debugging, and failure analysis activities for enterprise Solid State Drives (SSDs). This role will work closely with validation, firmware and architecture teams to ensure world-class product quality, reliability, and customer satisfaction. The engineer will be responsible for driving root cause investigations of issues from validation and integration failures, defining debug strategies, improving validation methodologies, and influencing future product designs through data-driven insights. The role requires technical expertise in storage technologies, deep system-level debugging, and validation engineering. In addition to validation activities, the candidate will contribute to automation initiatives, debug tool development, test framework improvements, and advanced analytics solutions that increase engineering efficiency and accelerate issue resolution.

Qualifications

Education: Bachelor’s Degree or higher in Electrical Engineering, Computer Engineering, Computer Science, Software Engineering, or a related technical discipline.

Required Qualifications:

  • 3+ years of experience in validation, debug, product engineering, firmware development, or related engineering roles.
  • Strong experience debugging complex hardware, firmware, software, and system-level issues.
  • Understanding of SSD architecture, NAND Flash technologies, and enterprise storage solutions.
  • Hands-on experience with PCIe, NVMe, and storage protocol analysis.
  • Experience analyzing crash dumps, and hardware captures to determine root cause.
  • Strong Linux troubleshooting and system administration skills.
  • Experience with scripting and automation using Python, Bash, Perl, or similar languages.
  • Strong analytical, technical writing, and problem-solving skills.
  • Ability to lead technical investigations and drive cross-functional teams toward issue resolution.
  • Excellent verbal and written communication skills in English.
  • Ability to work onsite at our Zapopan location.

Preferred Qualifications:

  • Experience with enterprise SSD validation, qualification, or product development.
  • Knowledge of PCIe analyzers, protocol analyzers, oscilloscopes, and hardware debug tools.
  • Experience performing root cause analysis on PCIe, NVMe, firmware, and platform-related failures.
  • Understanding of system firmware (BIOS/UEFI), BMC, Linux kernel behavior, and server architectures.
  • Experience with UART and hardware signal analysis.
  • Familiarity with qualification methodologies, reliability testing, and failure mode analysis.
  • Knowledge of AI-assisted debugging, Machine Learning applications, and advanced analytics techniques.
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