Sr. Validation Engineer

Required Skills & Qualifications

• Bachelor’s degree in engineering, Computer Science, Technical Communication, or a related field .

• 4–5 years of experience as a Technical Content Writer in an OEM, hardware product, or enterprise technology company .

• Strong understanding of:

• Servers, workstations, storage systems

• HPC architectures, clusters, and GPUs

• Linux (RHEL preferred), virtualization, and networking basics will be extra edge

• Excellent written English with the ability to structure complex technical content.

• Experience creating hardware-focused documentation (datasheets, manuals, deployment guides).

• Hands-on experience with documentation tools such as Confluence, Markdown, MS Word, Git .

• Ability to work cross-functionally with engineering and delivery teams.

Requirements

Required Skills & Qualifications:

• Bachelor’s degree in Engineering (Computer Science, Electronics, or related) .

• Strong hands-on experience with:

• Server/workstation hardware

• Motherboard-level validation

• Excellent working knowledge of Linux OS :

• RHEL (preferred), Rocky, Ubuntu

• Kernel logs, dmesg, system tuning

• Solid understanding of:

• BIOS concepts, firmware flashing

• BMC/IPMI/Redfish fundamentals

• Hands-on experience with benchmarking and stress tools :

• iperf / iperf3

• fio

• stress, stress-ng, sysbench

• Ability to debug hardware/OS interaction issues.

• Strong documentation and reporting skills.

Good to Have (Highly Preferred)

• Exposure to HPC or AI systems , GPUs, high-speed networking.

• Experience with PXE boot, kickstart, automated OS provisioning .

• Understanding of NUMA, PCIe topology, and performance tuning .

• Experience working with Intel / AMD server platforms .

• Familiarity with firmware release cycles and validation sign-offs .

• Scripting knowledge in Python or Bash .

• Core Tasks: Focused on deep-level system optimization, kernel tuning, and identifying hardware bottlenecks.

• Skill Alignment: Uses benchmarking tools to stress-test systems and scripting (Bash/Python) to automate these repetitive performance evaluations.

• Linux Knowledge: Managing RHEL, CentOS, or Rocky Linux distributions common in enterprise environments.

• Scripting (Bash/Python): Automating health checks, monitoring workloads, and parsing benchmark results

• Ansible: Orchestrating "agentless" configuration across hundreds or thousands of compute nodes.

• HPL Benchmarking: Validating that new or upgraded hardware meets theoretical FLOPS (floating-point operations per second) performance.

• Iperf: Troubleshooting network latency and verifying throughput across high-speed fabrics.

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