AI Platform Engineer
USA-CA-Milpitas-KLA, United States
USD 136K-231K Senior-level Full Time
Tasks
- Architect AI platforms
- Build model serving systems
- Collaborate with AI researchers and security teams
- Deploy AI platforms
- Design data pipelines
- Design distributed training environments
- Develop reference designs
- Diagnose hardware and firmware issues
- Ensure reliability and availability
- Evaluate AI infrastructure technologies
- Implement encryption
- Implement identity and access management
- Implement observability and monitoring
- Integrate AI compute infrastructure
- Maintain storage and networking systems
- Manage secrets
- Operate AI platforms
- Optimize AI workload performance
- Secure AI data
Perks/Benefits
- 401k
- Dental insurance
- Employee assistance program
- Employee stock purchase program
- Family care and bonding leave
- Life insurance
- Medical insurance
- Paid Company Holidays
- Paid time off
- Student debt assistance
- Tuition assistance
- Tuition reimbursement
- Tuition reimbursement program
- Vision insurance
- Wellness benefits
Skills/Tech-stack
Access Management | Bash | CI/CD | Container Security | Docker | Encryption | GPU | High speed | High-Speed Networking | Identity and Access Management | Identity and access | Infrastructure as Code | Kubernetes | Linux | OPA Gatekeeper | Private Cloud | PyTorch | Python | RBAC | Ray | Secrets management | Server management | Slurm | Storage Systems | TPM | TPU | TensorFlow | Virtual Private Cloud | Virtualization | “as-code”
Education
Associate Degree | Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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