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About the Role

We are seeking a skilled and experienced Staff Test Engineer to ensure the reliability, performance, and scalability of our AI data center's networking, storage, and server infrastructure. You will be a key technical contributor, developing and executing comprehensive test strategies for critical hardware, firmware, and software components. Your expertise in storage and server systems will be vital in delivering robust, high-performing solutions for demanding AI/ML workloads. This role requires a hands-on technical leader capable of mentoring junior engineers, driving test automation, and collaborating across engineering teams.

Responsibilities

Define and implement test strategies for all storage and server hardware, firmware, and software components within the AI data center environment.
Lead the definition and development of holistic test strategies, test plans, and test cases for complex data center solutions, 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 server platforms (e.g., CPU, GPU, memory, PCIe, networking), security (e.g., secure boot, Root of Trust, Platform Firmware Resilience) and OpenBMC interfaces/features.
Debug issues related to BIOS, BMC functionality, and their 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 server, BIOS, OpenBMC, and storage 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).
Test the interactions between various components.

Requirements

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field.
10+ years of experience in hardware and/or software testing, with at least 5 years focused on enterprise-level storage and server systems.
5+ years of experience in a lead or senior technical role, mentoring junior engineers or leading test initiatives.
Deep expertise in server architectures (x86, ARM, GPU servers), CPU/memory subsystems, PCIe, and power management.
Extensive experience in server architectures (x86, ARM, GPU servers), BIOS, CPU/memory subsystems, PCIe, power management, and Baseband Management Controllers (BMC) functionality.
Strong understanding of enterprise software security (e.g., secure boot, Root of Trust, Platform Firmware Resilience).
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.

Skills

Python
Go
Bash
Linux
x86
ARM
GPU servers
BIOS
BMC
OpenBMC
PCIe
Power management
Secure boot
Root of Trust
Platform Firmware Resilience
Ethernet
TCP/IP
InfiniBand
Performance testing
Reliability testing
Stress testing
Fault injection
fio
Iometer
Perf
VTune

Location

Austin, Texas, USA

Work Type

Onsite

Experience Level

Staff
10+ years
5+ years

Education Level

Bachelor's degree
Master's degree

About the Company

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.

Equal Opportunity

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.