Sr. System Development Engineer, Edge & High Performance Accelerator Servers for AI/ML

Fleet Health & Predictive Infrastructure

Build and own the automation infrastructure responsible for the health of the server fleet across edge and accelerator (AI/ML) compute platforms.
Design and implement predictive failure detection systems using telemetry, sensor data, error trending, and log correlation to identify hardware issues before they cause customer impact.
Drive toward zero-touch operations — building automation that detects, diagnoses, triages, and remediates hardware and software faults without human intervention.
Develop monitoring tools, dashboards, and alerting systems to provide real-time visibility into fleet health across lab and production environments.
Define and track fleet health metrics (failure rates, mean time to detect, mean time to repair, first-time fix rate, predictive accuracy).

Debugging & Troubleshooting

Debug and resolve complex system-level issues across storage, compute, GPU, networking in production environments.
Troubleshoot Linux boot and runtime failures across x86 and ARM architectures, including PCIe, power, NIC, NVMe, and GPU subsystems.
Perform root cause analysis on hardware failures — correlating across firmware, kernel, driver, and physical layer to isolate faults.
Build diagnostic tooling that automates root cause identification and reduces reliance on manual triage.
Improve manufacturing throughput and yield through test optimization.

Systems Development & Automation

Lead the definition and development of software, automation, and enabling tools for server hardware programs; track and report progress.
Design and build scalable system-level software with focus on durability, availability, security, and diagnostics.
Develop and maintain device drivers for Linux on ARM and x86 architectures.
Build automation solutions using modern programming languages (Python, Ruby, Java, C/C++, etc.).
Work with OS internals, storage subsystems, and accelerator/GPU software stacks in Linux-based environments.
Build, manage, and deploy CI/CD pipelines for rapid deployment of code changes to org-owned and customer-owned systems.

Cross-Team Collaboration

Work across internal HWEng teams to ensure new server hardware addresses data path and control path functionality needed by dependent service teams.
Work closely with internal customers to identify early any potential problems onboarding new servers — edge or accelerated compute — into their ecosystem.
Engage with ODMs and design partners on testability, diagnostic, and automation requirements during hardware design and development.
Contribute to server design to improve robustness, testability, diagnosability, and reliability.
Partner with datacenter operations teams to close the loop between field failures and design improvements.