Req ID: 127777

Region: Americas

Country: United States

State/Province: Texas

City: Richardson

Summary

The Senior Lead Storage and Server Test Engineer will play a pivotal role in the design, development, and execution of comprehensive test strategies for our AI data center's storage and server infrastructure. This leadership position requires deep expertise in enterprise storage systems, server architectures, networking, and a strong understanding of the unique performance and reliability demands of AI/ML workloads. The ideal candidate will be a hands-on technical leader, capable of mentoring junior engineers, driving test automation, and collaborating across engineering teams to deliver robust and high-performing solutions.

Knowledge/Skills/Competencies

Define, develop, and implement comprehensive test plans and strategies for all storage and server hardware, firmware, and software components within the AI data center environment.

Lead the test team in designing, executing, and analyzing complex test cases, including functional, performance, reliability, stress, and endurance testing.

Mentor and provide technical guidance to junior test engineers, fostering a culture of technical excellence and continuous improvement.

Design and implement automated test frameworks and scripts using languages like Python, Go, or similar, to improve efficiency and coverage of testing.

Conduct in-depth performance analysis and bottleneck identification for storage systems (e.g., NVMe, SSD, HDD arrays, distributed storage, SAN/NAS) and server platforms (e.g., CPU, GPU, memory, PCIe, networking), and OpenBMC interfaces/features

This includes debugging issues related to BMC functionality and its interaction with server hardware.

Develop and maintain robust testbeds and infrastructure for continuous integration and validation.

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

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, including executive leadership.

Develop specialized test methodologies to validate performance and reliability under heavy AI/ML workloads (e.g., large model training, inference at scale, data ingestion).

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

Required Qualifications

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

7+ years of experience in hardware and/or software testing, with at least 5 years focused on enterprise-level storage and server systems.

3+ years of experience in a lead or senior technical role, mentoring junior engineers or leading test initiatives.

Proven experience in a lead or senior technical role, mentoring and guiding other engineers.

Deep expertise in various 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.

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

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.

Preferred 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).

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.