Engineer III, Hardware Development (Remote)

CrowdStrike is a global cybersecurity company that protects organizations through an AI-native security platform. The company is seeking a Hardware Systems Engineer to validate server designs, develop hardware testing frameworks, coordinate integration projects, and ensure the reliability, security, and performance of its hardware ecosystem.

Responsibilities:

• Execute validation tests for hardware components including server platforms, storage media, and emerging technologies (PCIe Gen6, DC-MHS, GPUs, etc)
• Support validation plans for new server designs, conducting power/thermal testing and performance benchmarking
• Contribute to automation frameworks for hardware testing, firmware validation, and component qualification
• Assist in coordination with ODM/OEM partners on server integration projects
• Document test results, procedures, and technical findings for new platforms
• Maintain and operate hardware testing infrastructure
• Collaborate with software teams on platform configuration optimization (BIOS, kernel, firmware)

Requirements:

• • Current US Citizen or Green Card holder
• • 5+ Years of experience in server hardware development, testing, or validation at a SaaS, public cloud, CSP, or similar company
• • Hands-on experience with hardware validation methodologies, benchmarking tools, and test automation
• • Working knowledge of modern server architectures and key components (CPU, memory, storage, networking)
• • Familiarity with server BMC implementation and management interfaces (Redfish, IPMI)
• • Proficiency in Linux server environments and scripting languages (Python, Bash)
• • Understanding of industry standards (PCIe, NVMe, DDR)
• • Strong problem-solving abilities and effective written and verbal communication skills
• • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes
• • Exposure to composable infrastructure or disaggregated server architectures
• • Interest in AI/ML hardware accelerators and infrastructure
• • Familiarity with open hardware platforms (OCP, OpenBMC)
• • Understanding of power/cooling considerations in datacenter environments
• • Experience with containerization and cloud infrastructure concepts