Systems Development Engineer, AWS Generative AI & ML Servers
Tasks
- Build automation infrastructure for fleet health
- Build automation solutions with modern programming languages
- Build diagnostic tooling for automated triage
- Build manage and deploy CI CD pipelines
- Build scalable system software for durability availability security diagnostics
- Collaborate with hardware engineering teams on data and control path
- Debug system level issues across compute GPU networking
- Define Fleet Health metrics
- Define testability diagnostics and automation requirements with ODMs and design partners
- Design predictive failure detection systems
- Develop Linux device drivers for ARM and x86
- Develop monitoring dashboards and alerting
- Develop software and automation tools for server hardware programs
- Implement zero-touch operations
- Optimize server test for throughput and yield
- Partner with datacenter operations on field failure feedback
- Perform root cause analysis on hardware failures
- Troubleshoot Linux boot and runtime failures
- Work with OS internals and accelerator GPU software stacks
Perks/Benefits
- 401k matching
- Dental insurance
- Employee assistance program
- Flexible spending accounts
- Health insurance
- Mental health support
- Paid time off
- Parental leave
- Prescription Coverage
- Vision insurance
Skills/Tech-stack
ARM | Amazon Web Services | Anomaly Detection | Artificial Intelligence | BMC/IPMI | C# | C++ | CI/CD | Device Drivers | Error Trending | Firmware | GPU | Golang | Java | Kernel debugging | Linux | Log Correlation | Machine Learning | NIC | NVMe | PCIe | PCIe Topology | Python | Ruby | Telemetry | Web Services | X86
Education
N/A
Regions
Countries
States
Cities
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