Senior Software Development Engineer in Test AI Cluster Networking and Security
Cerebras builds wafer-scale AI computing systems and a cloud inference platform for training, fine-tuning, and serving AI models.
About Cerebras Systems, Inc.
Cerebras Systems is an AI-infrastructure company founded in 2015. It sells rack-scale wafer-scale computing systems and provides cloud-based, API-accessible AI inference alongside on-premises deployments.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will define test strategies and automate validation for large-scale AI clusters. You will test cluster software, hardware, networking, performance, failure scenarios, security, and observability. You will qualify networking platforms and security features, debug distributed-system issues, and help improve cluster reliability.
Requirements
- Bachelor's or master's degree in Computer Science, Electrical Engineering, AI, Data Science, or a related field
- 10+ years of testing experience in enterprise software, distributed systems, or data-center hardware and software
- Cloud networking infrastructure experience
- Experience with switches, routers, firewalls, Juniper, Arista, Cisco, Ixia, or Spirent
- Knowledge of BGP, ECN, PFC, networking security, compliance, and firewalls
- Python, Go, or C/C++
- Debugging tools such as GDB, strace, and network monitors
- Operating-system internals
- Data-center hardware, networking, and storage
- AWS, Kubernetes, Docker, Grafana, or Prometheus
Responsibilities
- Define optimized test strategies and methodologies
- Automate tests for cluster availability, failures, performance, stress, and security
- Champion cluster security, reliability, and observability
- Test AI cluster software and hardware components
- Qualify networking solutions from multiple vendors
- Qualify operating-system security, network security, cloud compliance, access controls, and security certifications