u/PlayfulKnowledge2788

Hi everyone,

I recently made it to the final loop for a specialized systems role at a major silicon company . The technical panel round went incredibly well, but in the final "coding bar" round, I was hit with a textbook Dynamic Programming (DP) question. I solved it through recursion and explained space and time complexity too. It was In-person white boarding coding round.But the optimized solution done using DP. So, I was ultimately rejected for "lacking strong programming skills."

Frankly, it’s frustrating. In my daily world, allocating massive, multi-dimensional DP arrays inside the kernel is a great way to cause memory exhaustion, latency spikes, or a straight-up kernel panic. We care about deterministic execution, restricted stack space, ring buffers, and bit manipulation ,not finding the edit distance of two strings.

Since I am preparing for other top-tier systems/silicon companies (Apple, NVIDIA, Amazon Robotics, Dell), I want to make sure I am prepared for the inevitable generic "coding puzzle" interviewer who doesn't know what a device driver is.

For those of you working in kernel space or hiring for low-level systems, what data structures and algorithmic patterns do you actually consider mandatory to see from a candidate?

My current checklist to review is:

• Bit Manipulation (masks, bitwise operations, clearing/setting registers)
• Concurrency & Synchronization (handling race conditions, producer-consumer with circular/ring buffers)
• Linked Lists & Trees (kernel-style list_head manipulation, basic tree traversal)
• Pointer Arithmetic & Memory Management (custom allocators, page-alignment calculations, string/buffer parsing without helper libraries)
• General patterns like two-pointer, sliding window, Prefix Sum,recursion and sorting.

Should I suck it up and grind standard LeetCode DP/Graph patterns just to pass the cross-functional corporate interviewers, or are there specific systems-adjacent coding patterns I should focus on maximizing?

Would love to hear your thoughts or similar interview horror stories. Thanks!

Hi everyone, I’m preparing for a Linux kernel/systems role and would appreciate suggestions on key topics to focus on. My background is in Linux kernel work including character device driver development, QEMU-based kernel testing, board bring-up, and an upstream patch accepted into LKML. I’m trying to go deeper into kernel internals and would be grateful for recommendations on important areas like memory management, scheduling, concurrency, driver architecture, and any resources or mental models that help think like a kernel developer.