Systems Engineer: Linux Kernel Test and Validation
About the role
Role focused on test, validation, and performance optimization for Linux kernel components at Cedana, with emphasis on kernel-level testing, reliability, and migration-related infrastructure for AI/HPC workloads.
Responsibilities
- Validate and test automation: Our engineers contribute to and develop testing capabilities. This will be a core part of your initial work to establish your understanding of how our system works. Reliability and testing is a key part of our culture.
- Measure and optimize platform performance: Get Cedana to the theoretical maximum performance by understanding fundamental bottlenecks. Measure reliability, throughput and performance using our internal tools.
- Design and contribute to key system components : Our solution touches all the major aspects of the OS, kernel, GPU, and CPU. Write design papers to outline your vision for a specific capability and then lead implementation.
- Educate our team: Our team is our best learning resource and we continually educate each other. We huddle and co-pair as needed.
- Excellent communication: You enjoy writing concise and articulate design papers on your code and experiments. You respond to slacks and emails within our internal SLAs.
Qualifications
- 5-10 years of software engineering experience with Linux Kernel.
- Kernel-level depth: reads kernel and driver source, and root-causes defects at the kernel/driver/syscall boundary rather than only reproducing them at the surface.
- Proven expert-level mastery of at least one performance- or correctness-critical Linux systems domain (networking data plane, virtualization/hypervisor, storage and block I/O, scheduling, memory management, or real-time/determinism), plus demonstrated ability to ramp into an unfamiliar low-level subsystem quickly.
- Depth in one hard domain including: OVS, DPDK, SR-IOV, RDMA, or high-performance packet processing; CRIU + QEMU live migration + VFIO; runc / containerd / OCI / namespaces / cgroups v2 / overlayfs.
- Performance and latency engineering: characterizes throughput, jitter, and tail latency; uses tracing and profiling tooling (perf, ftrace, eBPF, or equivalent).
- Systems-level QE: automated test infrastructure, performance and regression harnesses, reproduces kernel-level races and corner cases.
- Enterprise Linux distribution environment (RHEL or equivalent): version matrices, backports, customer-grade triage.
- Principal scope: owns test or validation strategy for a subsystem; sets technical direction; mentors.
Skills
Benefits
- 100% covered medical, dental, and vision insurance for employees and families.
- Unlimited PTO policy.
- Workstation setup budget.
- 401K Plan.
About Cedana
Fast, reliable, reproducible AI with GPU live migration
Cedana (YC S23) brings hyperscaler and frontier-lab orchestration capabilities for AI workflows. Our core capability is live migration for CPUs and GPUs workloads. This increases cost savings up to 80%, accelerates time to first token 2-10x, and enables stateful reliability of training jobs even through catastrophic GPU failures. We've integrated our solution into K8s, and support Kueue and Slurm for training distributed jobs, and Kserve for serving inference. OpenAI, Meta and Microsoft have flavors of these capabilities internally and we’re bringing them to everyone. Our vision is to transform cloud compute into a real-time, arbitraged commodity. https://www.cedana.ai
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