Hardware Systems Engineer, Data Center

What you'll do

• Evaluate and compare CPU architectures including Intel, AMD, ARM, and accelerator-enabled systems for cloud workloads.
• Conduct microbenchmarking and workload-specific testing for databases, machine learning inference, and network-heavy services.
• Analyze hardware metrics such as IPC, cache behavior, NUMA topology, and power/performance curves to build predictive models.
• Optimize server configurations for memory, PCIe topology, I/O bandwidth, and accelerator integration in Kubernetes and virtualized environments.
• Profile large-scale distributed system workloads to identify bottlenecks and inform cluster sizing and autoscaling strategies.
• Develop telemetry pipelines and dashboards to visualize compute efficiency across cloud infrastructure.
• Lead procurement recommendations by modeling total cost of ownership (TCO) based on performance per watt and dollar.
• Collaborate with OEMs and silicon vendors to evaluate roadmaps and test new hardware features.

What we're looking for

• Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical field.
• 5+ years of experience in server hardware engineering, CPU architecture evaluation, or performance engineering.
• Strong understanding of microarchitecture concepts including pipelines, branch prediction, cache hierarchies, and NUMA topology.
• Experience evaluating and comparing Intel Xeon, AMD EPYC, and ARM architectures.
• Hands-on experience with Kubernetes, cloud workloads, virtualization (KVM), and container infrastructure.
• Proficiency in benchmarking tools such as SPEC, fio, sysbench, perf, and pmu-tools.
• Familiarity with telemetry and observability stacks including Prometheus, Grafana, and eBPF.
• Experience with large-scale cloud providers, HPC environments, or power/performance tuning (preferred).