L9

Software EngineerPrincipal MTSVery High

This interview process is designed to assess candidates for the Principal MTS (Member of Technical Staff) role at AMD, focusing on deep technical expertise, problem-solving abilities, leadership potential, and alignment with AMD's innovative culture. The L9 title signifies a senior leadership position within the engineering organization.

Rounds·4

Timeline·~21d

Experience·10 - 15 yrs

Comp band·US$180000 - US$250000

Interview time·210 min

Evaluation

What they measure.

  • Technical depth and breadth in relevant areas (e.g., system design, algorithms, data structures, specific technologies).
  • Problem-solving skills: ability to break down complex problems, analyze trade-offs, and propose effective solutions.
  • System design and architectural thinking: ability to design scalable, reliable, and maintainable systems.
  • Leadership and influence: ability to guide technical direction, mentor others, and drive consensus.
  • Communication skills: clarity, conciseness, and ability to articulate technical concepts to diverse audiences.
  • Cultural fit: alignment with AMD's values of innovation, collaboration, and customer focus.

Preparation

How to prepare.

Tips

  1. Thoroughly review your resume and be prepared to discuss every project in detail, focusing on your specific contributions and the impact.
  2. Deep dive into system design principles: scalability, reliability, availability, consistency, fault tolerance, and common design patterns.
  3. Practice coding problems, especially those involving algorithms, data structures, and concurrency. Focus on optimal solutions and explaining your thought process.
  4. Understand AMD's product portfolio, recent announcements, and the technologies they leverage (e.g., CPU, GPU, AI accelerators, chipsets).
  5. Prepare for behavioral questions using the STAR method (Situation, Task, Action, Result) to showcase your experience with leadership, teamwork, and problem-solving.
  6. Research common interview questions for Principal-level roles in the semiconductor/tech industry.
  7. If the role is specific to a particular domain (e.g., graphics, AI, networking), brush up on the relevant technologies and concepts.

Study plan

Fig · Study plan — 05 phases

01 / 05
01

Phase 01 of 05

Data Structures & Algorithms

Weeks 1-2: Data Structures & Algorithms (DSA) - LeetCode Medium/Hard, Complexity Analysis.

Weeks 1-2: Focus on core Computer Science fundamentals. Review data structures (arrays, linked lists, trees, graphs, hash tables) and algorithms (sorting, searching, dynamic programming, graph traversal). Practice coding problems on platforms like LeetCode (Medium/Hard) and HackerRank, focusing on time and space complexity analysis. Understand Big O notation thoroughly.

Questions

Commonly asked.

  • Design a distributed caching system for a global CDN.
  • How would you optimize a CPU-bound application running on AMD EPYC processors?
  • Describe a time you led a team through a major technical challenge.
  • What are the trade-offs between eventual consistency and strong consistency in a distributed database?
  • How do you approach debugging a race condition in a multi-threaded application?
  • Tell me about your experience with performance profiling tools.
  • Design an API for a real-time analytics platform.
  • How would you ensure the security of a cloud-based service handling sensitive user data?
  • Describe a situation where you had to disagree with a senior leader on a technical decision. How did you handle it?
  • What are the key considerations when designing a system for high availability?
  • Explain the concept of cache coherence in multi-core processors.
  • How do you stay updated with the latest advancements in computer architecture and software development?
  • Design a system to handle real-time bidding for online advertisements.
  • Tell me about a time you failed. What did you learn from it?
  • How would you design a system for managing large-scale data ingestion and processing for AI model training?

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

Austin, USA

Interview focus

Deep dive into system architecture and design principles.Evaluating leadership and mentorship capabilities.Assessing strategic thinking and long-term technical vision.Austin: Hardware-software co-optimization, performance tuning on AMD platforms.Santa Clara: ASIC/SoC design, verification strategies, low-level system understanding.Bangalore: Embedded systems, RTOS, firmware development, power management.

Common questions

  • Discuss a complex technical challenge you faced in a distributed systems environment and how you resolved it.
  • How do you approach designing a highly scalable and fault-tolerant system for a new AMD product line?
  • Describe a time you had to influence a team or stakeholders to adopt a new technology or approach. What was the outcome?
  • In the Austin office, there's a strong emphasis on hardware-software co-design. Be prepared for questions related to optimizing software for specific AMD architectures.
  • For candidates interviewing in the Santa Clara office, expect more questions around silicon design flows and verification methodologies, especially if the role is closer to hardware.
  • In our Bangalore center, we often see questions related to embedded systems and real-time operating systems, given the focus on certain product segments.

Tips

  • For Austin: Familiarize yourself with AMD's latest CPU/GPU architectures and performance analysis tools.
  • For Santa Clara: Review common ASIC design flows (e.g., RTL design, synthesis, place & route) and verification techniques (e.g., UVM).
  • For Bangalore: Brush up on C/C++ for embedded systems, RTOS concepts, and debugging techniques for resource-constrained environments.
  • Be ready to discuss your contributions to open-source projects or industry standards.
  • Highlight instances where you've mentored junior engineers or led technical initiatives.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

High

Data Structures And Algorithms (DSA) · 45 min · Software Engineer / Senior Software Engineer

This round focuses on your core programming skills and problem-solving abilities. You will be presented with one or two coding challenges, typically involving algorithms and data structures. The interviewer will assess your ability to understand the problem, devise an efficient solution, write clean and correct code, and explain your approach. Expect questions that test your knowledge of arrays, strings, trees, graphs, dynamic programming, and sorting/searching algorithms.

What they look for

Strong grasp of fundamental data structures and algorithms.Ability to translate a problem into efficient code.Clear and logical thinking.Attention to detail.

Evaluation

  • Correctness of the solution.
  • Efficiency of the algorithm (time and space complexity).
  • Code quality, readability, and maintainability.
  • Ability to handle edge cases and constraints.
  • Communication of thought process.

Sample questions

  • Given an array of integers, find the contiguous subarray with the largest sum.

    ArrayDynamic Programming
  • Implement a function to find the k-th smallest element in an unsorted array.

    SortingQuickSelectHeap
  • Design and implement a data structure that supports insertion, deletion, and getRandom O(1) time complexity.

    Hash TableArrayDesign

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, HackerRank, focusing on Medium and Hard difficulty.
  2. 02Understand the time and space complexity of your solutions.
  3. 03Be prepared to explain your thought process step-by-step.
  4. 04Practice writing code on a whiteboard or in a shared editor without relying on IDE features.
  5. 05Consider edge cases and constraints.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Suboptimal algorithmic solutions.
  • ×Lack of understanding of time/space complexity.
  • ×Poor coding practices (e.g., unreadable code, lack of error handling).

DSA

Coding questions at AMD.

Frequently reported on AMD loops

Other guides

More at AMD.