About the role
Job Title: Principal Kernel Engineer Our client are an international semiconductor and consumer electronics company.
You could be just the right applicant for this job Read all associated information and make sure to apply.
The Role Optimize memory management internals: buddy allocator, slab/SLUB, page reclaim and LRU/MGLRU, memory compaction and defragmentation, transparent huge pages, page-fault and TLB-shootdown paths, copy-on-write behaviour Drive scheduler performance: run-queue and load-balancing behaviour, energy-aware scheduling, wakeup latency, task placement on heterogeneous (big.LITTLE/DynamIQ) topologies, cpufreq/cpuidle governor interaction Optimize synchronization primitives and lock-heavy paths: futex fast/slow paths, mutexes and rwsems, spinlocks/qspinlocks, RCU, seqlocks, per-CPU data, memory ordering and barriers on ARM64 Analyse and improve IPC and syscall paths: context-switch cost, binder-style IPC, shared memory, vDSO, interrupt/softirq handling Identify bottlenecks on flagship mobile workloads (gaming, day-of-use, camera, AI inference) using PMU counters, ftrace/perf, eBPF, lockdep/lockstat, and power measurement with mA/mAh attribution Land production-quality kernel patches from hypothesis through benchmarking to ship, with measured latency and energy impact Must-Haves 10 years of OS kernel development in C (Linux or comparable), with patches shipped to production systems at scale Expert-level understanding of MM internals: physical/virtual memory management, buddy and slab allocation, reclaim, compaction, page tables, TLB management Deep scheduler xwzovoh knowledge: CFS/EEVDF internals, load balancing, preemption, real-time classes, energy-aware scheduling Mastery of kernel synchronization: locking primitives, RCU, lock-free techniques, the ARM64 memory model and barrier semantics Proven kernel performance-analysis skills: PMU counters, ftrace/perf, eBPF, lock contention and latency analysis Strong ARM64 architecture grounding: exception levels, cache hierarchy and maintenance, TLBs, memory ordering
You could be just the right applicant for this job Read all associated information and make sure to apply.
The Role Optimize memory management internals: buddy allocator, slab/SLUB, page reclaim and LRU/MGLRU, memory compaction and defragmentation, transparent huge pages, page-fault and TLB-shootdown paths, copy-on-write behaviour Drive scheduler performance: run-queue and load-balancing behaviour, energy-aware scheduling, wakeup latency, task placement on heterogeneous (big.LITTLE/DynamIQ) topologies, cpufreq/cpuidle governor interaction Optimize synchronization primitives and lock-heavy paths: futex fast/slow paths, mutexes and rwsems, spinlocks/qspinlocks, RCU, seqlocks, per-CPU data, memory ordering and barriers on ARM64 Analyse and improve IPC and syscall paths: context-switch cost, binder-style IPC, shared memory, vDSO, interrupt/softirq handling Identify bottlenecks on flagship mobile workloads (gaming, day-of-use, camera, AI inference) using PMU counters, ftrace/perf, eBPF, lockdep/lockstat, and power measurement with mA/mAh attribution Land production-quality kernel patches from hypothesis through benchmarking to ship, with measured latency and energy impact Must-Haves 10 years of OS kernel development in C (Linux or comparable), with patches shipped to production systems at scale Expert-level understanding of MM internals: physical/virtual memory management, buddy and slab allocation, reclaim, compaction, page tables, TLB management Deep scheduler xwzovoh knowledge: CFS/EEVDF internals, load balancing, preemption, real-time classes, energy-aware scheduling Mastery of kernel synchronization: locking primitives, RCU, lock-free techniques, the ARM64 memory model and barrier semantics Proven kernel performance-analysis skills: PMU counters, ftrace/perf, eBPF, lock contention and latency analysis Strong ARM64 architecture grounding: exception levels, cache hierarchy and maintenance, TLBs, memory ordering
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