Staff Test Engineer, AI Data Center Infrastructure

Celestica International Inc. • Merrimack, NH

74d

About The Position

We're looking for a skilled and experienced Staff Test Engineer, AI Data Center Infrastructure to help ensure the reliability, performance, and scalability of our AI data center's networking, storage and server infrastructure. In this role, you'll be a key technical contributor, working with cross-functional teams to develop and execute comprehensive test strategies for our critical hardware, firmware, and software components. Your deep expertise in storage and server systems will be essential as we deliver robust and high-performing solutions that support demanding AI/ML workloads.

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.
• Expert-level understanding and hands-on experience with Layer 2 and Layer 3 networking protocols in large-scale data center environments (e.g., BGP, OSPF, ISIS, MPLS).
• Extensive experience with modern data center interconnect technologies (EVPN/VxLAN).
• Deep expertise in various storage technologies, including NVMe, SAS/SATA SSDs/HDDs, RAID, distributed file systems (e.g., Ceph, Lustre), SAN, and NAS.
• 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 like Python or Bash for test automation and data analysis.
• Experience with Linux operating systems (e.g., Ubuntu, CentOS, RHEL) and command-line tools.
• Knowledge of networking concepts (Ethernet, TCP/IP, InfiniBand) and network testing methodologies.
• Familiarity with test methodologies such as performance testing, reliability testing, stress testing, and fault injection.
• Excellent problem-solving, analytical, and debugging skills.
• Strong communication and collaboration skills to work effectively with diverse teams.

Nice To Haves

• Experience with OCP (Open Compute Project).
• Familiarity with cloud environments (AWS, Azure, GCP) and virtualization technologies.
• Knowledge of containerization technologies (Docker, Kubernetes).
• Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and their infrastructure requirements.
• Experience with performance profiling tools (e.g., fio, Iometer).
• Industry certifications: CCIE, CompTIA Network+, NVIDIA-Certified Professional, Dell ISM.

Responsibilities

• Define and implement test strategies for all storage and server components, including hardware, firmware, and software.
• Lead the definition and development of holistic test strategies, test plans, and test cases for complex data center network solutions, including Layer 2/3, SDN, DCN.
• Design, execute, and analyze complex test cases for functional, performance, reliability, stress, and endurance testing.
• Develop and maintain automated test frameworks and scripts using languages like Python or Go to increase testing efficiency and coverage.
• Conduct in-depth performance analysis and bottleneck identification for storage systems (NVMe, SSD/HDD arrays, distributed storage, SAN/NAS) and server platforms (CPU, GPU, memory, PCIe, networking, and OpenBMC).
• Collaborate closely with hardware design, software development, and AI/ML engineering teams to understand requirements and integrate testing throughout the product lifecycle.
• Create and maintain testbeds and infrastructure for continuous integration and validation.
• Communicate test progress, results, and critical issues to stakeholders.
• Develop specialized test methodologies to validate performance and reliability under heavy AI/ML workloads, such as large model training and inference.
• Analyze and test the interactions between GPU-accelerated computing, high-speed networking, and storage systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees