Lead Test Engineer, Compute Server & Storage - AI Data Center

Req ID: 129193
Region: Americas
Country: USA
State/Province: Texas
City: Austin

General Overview

Functional Area: Engineering
Career Stream: Design - Software Engineering
SAP Short Name: LEN-ENG-DSE
Job Level: Level 08
IC/MGR: Individual Contributor
Direct/Indirect Indicator: Indirect

Summary

The Lead Storage and Server Test Engineer will support the design, development, and execution of test strategies for AI data center storage and server infrastructure. This role is hands-on and focused on test execution, automation, and troubleshooting across hardware and software components.

This position requires strong working knowledge of enterprise storage systems, server architectures, and networking, along with an understanding of the performance and reliability considerations of AI/ML workloads.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field.

Working knowledge of storage technologies including NVMe, SAS/SATA SSDs/HDDs, RAID, distributed file systems (e.g., Ceph, Lustre, GPFS), SAN, and NAS.

Strong understanding of server architectures (x86, ARM, GPU servers), CPU/memory subsystems, PCIe, and power management.

Proficiency in scripting languages (e.g., Python, Bash) for test automation and data analysis.

Experience with Linux operating systems (e.g., Ubuntu, CentOS, RHEL) and command-line tools.

Familiarity with networking concepts (Ethernet, TCP/IP, InfiniBand) and network testing methodologies.

Experience with test methodologies such as performance testing, reliability testing, stress testing, and fault injection.

Excellent problem-solving, analytical, and debugging skills.

Strong communication and interpersonal skills, with the ability to collaborate effectively across diverse teams.

Knowledge/Skills/Competencies

Test Strategy:

Contribute to the development and implementation of test plans and strategies for storage, server hardware, firmware, and software components in our AI data center.

Execute and analyze complex test cases, including functional, performance, reliability, stress, and endurance testing.

Collaborate with senior engineers, adopting best practices and contributing to team knowledge.

Keep up-to-date with industry trends, emerging technologies, and best practices in storage, server, and AI infrastructure testing.

Technical Execution & Automation:

Contribute to the development and enhancement of automated test frameworks and scripts using languages like Python, Go, or similar, to improve efficiency and coverage of testing.

Conduct performance analysis and support bottleneck identification for server platforms (e.g., CPU, GPU, memory, PCIe, networking).

Troubleshoot hardware and software issues, working closely with development and operations teams to identify root causes and propose solutions.

Support the development and maintenance of testbeds and infrastructure for continuous integration and validation.

Utilize open-source and commercial test tools relevant to storage and server validation.

Collaboration & Communication:

Collaborate closely with hardware design, software development, infrastructure, and AI/ML engineering teams to understand requirements and integrate testing throughout the product lifecycle.

Communicate test progress, results, and critical issues effectively to stakeholders.

Participate in design reviews and technical discussions to ensure testability and quality are considered throughout development.

AI/ML Specific Considerations:

Support testing methodologies to validate performance and reliability under AI/ML workloads (e.g., model training, inference, data ingestion).

Assist in assessing the impact of storage and server configurations on system performance.

Understand and test interactions between GPU-accelerated computing, networking, and storage systems.

Preffered Qualifications

• Familiarity with OCP (Open Compute Project)

  Experience with cloud environments (AWS, Azure, GCP) and virtualization technologies.

  Knowledge of containerization technologies (Docker, Kubernetes).

  Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and their infrastructure requirements.

  Experience with performance profiling tools (e.g., fio, Iometer, Perf, VTune).

  Contributions to open-source projects related to storage, servers, or testing.

  Certifications in relevant technologies (e.g., NetApp, Dell EMC, HPE, NVIDIA).

Typical Experience

• 3 to 8 years

Typical Education

Bachelor degree or consideration of an equivalent combination of education and experience.

Notes

This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Celestica's policy on equal employment opportunity prohibits discrimination based on race, color, creed, religion, national origin, gender, sexual orientation, gender identity, age, marital status, veteran or disability status, or other characteristics protected by law.
This policy applies to hiring, promotion, discharge, pay, fringe benefits, job training, classification, referral and other aspects of employment and also states that retaliation against a person who files a charge of discrimination, participates in a discrimination proceeding, or otherwise opposes an unlawful employment practice will not be tolerated. All information will be kept confidential according to EEO guidelines.

COMPANY OVERVIEW:
Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development – from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud. Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers.

Celestica would like to thank all applicants, however, only qualified applicants will be contacted.
Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.

This location is a US ITAR facility and these positions will involve the release of export controlled goods either directly to employees or through the employee's movement within the facility. As such, Celestica will require necessary information from all applicants upon an applicant's acceptance of employment to determine if any export control exemptions or licenses must be filed.