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