Evaluates firmware and datacenter hardware for compatibility, safety, performance, and reliability; diagnoses intermittent failures, manages vendor RMAs, and builds monitoring automation. Requires a bachelor’s degree or equivalent experience and at least 2 years in hardware reliability engineering.
Salary not listed
On-site2+ YOEHardware Engineering
About the role
Responsibilities
Analyze firmware packages and hardware specifications for upcoming releases, assessing compatibility, performance, and reliability in the datacenter environment.
Run security scans and CVE/vulnerability analysis on firmware and related components.
Identify electrical, thermal, power-protection, and fail-safe safety issues before deployment.
Investigate and diagnose hardware failures, including ambiguous or intermittent “grey failures,” using rigorous testing and data analysis.
Manage vendor relationships, including initiating RMA claims, negotiating beyond standard processes when necessary, and ensuring vendor resolution.
Collaborate with datacenter operations technicians to troubleshoot, repair, and optimize hardware systems in real time.
Develop monitoring tools, scripts, and processes to detect hardware anomalies early and minimize downtime.
Document failure modes, root-cause analyses, AFR/reliability models, RMA outcomes, and hardware evaluations in a team knowledge base.
Participate in on-call rotations and incident response for hardware-related issues in the Memphis datacenter.
Requirements
Bachelor’s degree in Systems Engineering, Electrical Engineering, Computer Science, or a related field, or equivalent experience.
2+ years of experience in hardware reliability engineering, preferably in high-performance computing or datacenter environments.
Expertise in firmware analysis, hardware specification review, and release validation.
Strong experience with RMA processes, including filing claims, vendor negotiations, and pursuing resolutions outside standard protocols.
Ability to diagnose and prove complex hardware failures, including grey or intermittent issues, using tools, logic analyzers, or diagnostic software.
Familiarity with datacenter hardware such as servers, GPUs, and networking equipment.
Proficiency in Python and Bash scripting for automation and analysis.
General experience with at least one systems language such as C, C++, Java, or Rust.
Excellent problem-solving skills and a data-driven approach to reliability engineering.
Ability to collaborate with cross-functional teams, including operations technicians.
Nice-to-Haves
Experience with AI/ML infrastructure or supercomputing environments.
Knowledge of vendor ecosystems such as NVIDIA, Dell, HP, or Supermicro.
Supply chain management experience.
Certifications in hardware engineering or reliability, such as CRE or CompTIA Server+.
Experience working in a fast-paced startup or technology company.
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