# L7
**Role:** Software Engineer · **Level:** MTS
**Company:** [AMD](https://scaleengineer.com/companies/amd)
**Difficulty:** Hard
**Salary:** US$180000 - US$250000
**Experience:** 8 - 15
**Timeline:** ~4 days
The L7 Software Engineer interview at AMD, also known as a Member of Technical Staff (MTS), is a rigorous process designed to assess a candidate's deep technical expertise, problem-solving abilities, system design skills, and cultural fit within AMD's innovative environment. This level typically requires a strong foundation in computer science principles, significant experience in software development, and the ability to lead and mentor junior engineers.
Canonical: https://scaleengineer.com/interviews/amd/mts-software-engineer
---
## Overall evaluation

- Technical Proficiency
- System Design & Architecture
- Behavioral & Cultural Fit
- Leadership & Impact

## Questions asked

- Design a distributed caching system.
- Implement a function to find the k-th largest element in an unsorted array.
- Explain the difference between processes and threads and when to use each.
- How would you design a system to handle millions of concurrent users for a live streaming service?
- Describe a challenging bug you encountered and how you debugged it.
- Tell me about a time you disagreed with a technical decision and how you handled it.
- What are the trade-offs of using microservices versus a monolithic architecture?
- How do you ensure the performance and scalability of your code?
- Discuss your experience with parallel programming and concurrency control.
- Design an API for a ride-sharing service.
- How would you optimize a database query that is running slowly?
- Tell me about a project where you had to learn a new technology quickly.
- What are the principles of good API design?
- How do you approach code reviews?
- Describe a situation where you had to deal with a difficult stakeholder.

## Preparation tips

### lists

- Review fundamental computer science concepts: data structures, algorithms, operating systems, computer architecture.
- Practice coding problems extensively, focusing on efficiency and edge cases.
- Study system design principles and common architectural patterns.
- Prepare to discuss your past projects in detail, highlighting your contributions and technical challenges.
- Research AMD's products, technologies, and company culture.
- Practice behavioral interview questions using the STAR method (Situation, Task, Action, Result).
- Prepare thoughtful questions to ask the interviewers.
- Understand the specific technologies and domains relevant to the role you are applying for (e.g., GPU computing, CPU design, AI/ML, embedded systems).

### studyPlan

- {"title":"Data Structures & Algorithms","longDescription":"Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, trees (binary, AVL, B-trees), graphs, hash tables, heaps, and sorting/searching algorithms. Practice implementing these and analyzing their time and space complexity. Solve problems on platforms like LeetCode (Medium/Hard).","shortDescription":"Weeks 1-2: DSA fundamentals and practice (LeetCode Medium/Hard)."}
- {"title":"Operating Systems & Distributed Systems","longDescription":"Weeks 3-4: Deep dive into Operating Systems concepts. Understand processes, threads, concurrency, synchronization primitives (mutexes, semaphores), memory management (virtual memory, paging), scheduling algorithms, and I/O management. Review concepts related to distributed systems like consensus, replication, and fault tolerance.","shortDescription":"Weeks 3-4: OS concepts, concurrency, and distributed systems basics."}
- {"title":"System Design","longDescription":"Weeks 5-6: System Design. Study scalable system design principles, database design (SQL vs. NoSQL), caching strategies, load balancing, message queues, microservices architecture, and API design. Practice designing systems for common scenarios (e.g., URL shortener, social media feed, e-commerce platform).","shortDescription":"Weeks 5-6: System design principles and practice."}
- {"title":"Behavioral & Project Review","longDescription":"Week 7: Behavioral Preparation and Project Review. Prepare detailed stories for common behavioral questions using the STAR method. Review your resume and be ready to discuss any project in depth, focusing on your role, challenges, and impact. Research AMD's values and recent news.","shortDescription":"Week 7: Behavioral prep (STAR method) and project deep dive."}
- {"title":"Mock Interviews & Final Polish","longDescription":"Week 8: Mock Interviews and Final Review. Conduct mock interviews covering technical, system design, and behavioral aspects. Refine your answers and identify areas for improvement. Review any specific technologies or domains relevant to the job description.","shortDescription":"Week 8: Mock interviews and final review."}

## Location differences

- {"location":"Santa Clara, CA","differences":{"tips":["Research AMD's current product portfolio and recent technological advancements (e.g., Zen architecture, RDNA architecture, Instinct accelerators).","Familiarize yourself with common performance bottlenecks in CPU/GPU design and software.","Be prepared to discuss your experience with low-level programming, drivers, or firmware if applicable to the specific role.","Understand the competitive landscape and how AMD differentiates itself.","Highlight any experience with silicon validation, bring-up, or hardware debugging."],"interviewFocus":["Deep dive into specific hardware-software interaction scenarios relevant to AMD's product lines (e.g., GPU computing, CPU architecture, embedded systems).","Emphasis on performance tuning and optimization for AMD's specific architectures.","Understanding of industry standards and protocols relevant to AMD's markets (e.g., PCIe, USB, display standards).","Behavioral questions often probe experience with large-scale, long-term projects and cross-functional collaboration within a hardware-centric company."],"commonQuestions":["Discuss a complex technical challenge you faced in a distributed system and how you resolved it.","How would you design a scalable caching system for a high-traffic web application?","Describe your experience with performance optimization in C++ for CPU-intensive tasks.","Explain the trade-offs between different concurrency models in multi-threaded applications.","How do you approach debugging in a large, complex codebase?","Tell me about a time you had to influence a technical decision across multiple teams.","What are your thoughts on the future of AI/ML hardware acceleration?","Describe a project where you had to work with hardware-software co-design principles."]}}
- {"location":"Austin, TX","differences":{"tips":["Highlight experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).","Showcase projects involving large-scale data processing, distributed systems, or microservices.","Be prepared to discuss your understanding of software development lifecycle and best practices.","Emphasize collaboration and communication skills.","Demonstrate a proactive approach to learning and problem-solving."],"interviewFocus":["Focus on software development practices, agile methodologies, and CI/CD pipelines.","Emphasis on cloud computing, distributed systems, and scalable software solutions.","Behavioral questions may focus on collaboration, adaptability, and problem-solving in a fast-paced software development environment.","Technical discussions might lean towards software architecture, API design, and modern programming paradigms."],"commonQuestions":["How would you design a real-time data processing pipeline for telemetry data?","Discuss your experience with cloud-native architectures and microservices.","Explain the principles of distributed consensus algorithms.","How do you ensure code quality and maintainability in a large team?","Describe a situation where you had to deal with ambiguity in project requirements.","What are your strategies for managing technical debt?","How do you stay updated with the latest trends in software development and AI?","Tell me about a time you mentored a junior engineer."]}}
- {"location":"Bangalore, India","differences":{"tips":["Showcase experience with C/C++, assembly language, and embedded development tools.","Highlight projects involving microcontrollers, FPGAs, or other embedded hardware.","Be prepared to discuss specific RTOS (e.g., FreeRTOS, Zephyr) and their nuances.","Understand the constraints and challenges of embedded software development (memory, power, real-time requirements).","Demonstrate an understanding of hardware-software interfaces and debugging techniques for embedded systems."],"interviewFocus":["Deep dive into embedded systems, firmware development, and RTOS.","Emphasis on low-level programming, hardware interaction, and performance optimization for embedded platforms.","Understanding of system-on-chip (SoC) architectures and their implications for software development.","Behavioral questions often assess the ability to work closely with hardware teams and manage the complexities of embedded product development."],"commonQuestions":["Describe your experience with embedded systems programming and real-time operating systems (RTOS).","How would you optimize software for resource-constrained environments?","Discuss your understanding of hardware-software co-design for embedded applications.","Explain the challenges of developing and debugging firmware.","Tell me about a time you had to work with cross-functional teams including hardware engineers.","How do you approach testing embedded software?","What are your thoughts on the evolution of IoT and edge computing?","Describe a project where you had to consider power consumption and thermal management in software design."]}}

## Round 0: HR Screening and Offer Discussion
**Type:** HR Screen · **Difficulty:** Easy · **Duration:** 30 min
Initial screening by HR to discuss logistics, compensation, and candidate interest.
This is typically the first or last touchpoint with HR. They will discuss the overall compensation package, benefits, and answer any logistical questions you might have about the role or the company. They also gauge your overall interest and ensure alignment on expectations before extending a formal offer.
**Interviewers look for:** Confirmation of interest and enthusiasm.; Discussion of compensation and benefits.; Answering any final questions the candidate may have.; Ensuring a positive candidate experience.
**Evaluation criteria:** Candidate's interest in the role and company.; Alignment of expectations (role, compensation, career growth).; Professionalism and communication during the process.
**Common rejection reasons:** Lack of alignment on career goals.; Unrealistic salary expectations.; Poor communication during the offer negotiation phase.; Concerns raised during background checks.; Candidate declining the offer.
## Questions

- What are your salary expectations for this role?
- Are you interviewing with other companies?
- What are your thoughts on relocating (if applicable)?
- Do you have any questions for me about the role or AMD?

## Preparation tips

- Be prepared to discuss your salary expectations based on your research.
- Have a list of questions ready about benefits, company culture, and the next steps.
- Maintain a professional and enthusiastic demeanor.
- Confirm your understanding of the role and its responsibilities.

## Round 1: Coding and Algorithms
**Type:** Technical Interview (Coding) · **Difficulty:** Hard · **Duration:** 60 min
Assess coding skills and fundamental CS knowledge through problem-solving.
This round focuses on your core computer science knowledge. You will be presented with one or two coding problems that require you to implement algorithms and use appropriate data structures. The interviewer will assess your ability to write clean, efficient, and correct code, as well as your problem-solving methodology. Expect to discuss the time and space complexity of your solutions and potential optimizations.
**Interviewers look for:** Strong grasp of fundamental algorithms and data structures.; Ability to translate a problem into efficient code.; Clear communication of the solution and its trade-offs.; Systematic approach to debugging and problem-solving.
**Evaluation criteria:** Correctness of the solution.; Efficiency of the solution (time and space complexity).; Code clarity, style, and maintainability.; Ability to handle edge cases and constraints.; Problem-solving approach and thought process.
**Common rejection reasons:** Inability to articulate thought process clearly.; Suboptimal algorithmic solutions (e.g., brute force when optimized exists).; Failure to consider edge cases or constraints.; Poor code quality or syntax errors.; Lack of understanding of time/space complexity.
## Questions

- Given a binary tree, find its maximum depth.
- Implement a function to reverse a linked list.
- Find the first non-repeating character in a string.
- Given an array of integers, return indices of the two numbers such that they add up to a specific target.
- Implement a Least Recently Used (LRU) cache.

## Preparation tips

- Practice coding problems on platforms like LeetCode, HackerRank, or GeeksforGeeks.
- Focus on understanding the underlying algorithms and data structures, not just memorizing solutions.
- Practice explaining your thought process out loud as you code.
- Be prepared to write code on a whiteboard or in a shared editor without the aid of an IDE.
- Review common coding patterns and techniques.

## Round 2: System Design
**Type:** System Design Interview · **Difficulty:** Hard · **Duration:** 60 min
Assess ability to design scalable and robust software systems.
This round evaluates your ability to design large-scale, distributed software systems. You'll be given an open-ended problem (e.g., design Twitter's feed, design a URL shortener) and expected to break it down, identify requirements, propose a high-level architecture, and then dive deeper into specific components. Emphasis is placed on scalability, reliability, performance, and maintainability.
**Interviewers look for:** Experience in designing complex software systems.; Knowledge of architectural patterns and best practices.; Ability to think critically about system requirements and constraints.; Effective communication of design ideas.
**Evaluation criteria:** Ability to design scalable and robust systems.; Understanding of distributed systems concepts.; Consideration of trade-offs and constraints.; Clarity and structure of the design.; Ability to handle ambiguity and ask clarifying questions.
**Common rejection reasons:** Lack of clarity in system design.; Failure to consider scalability, reliability, or maintainability.; Ignoring potential bottlenecks or failure points.; Inability to justify design choices or discuss trade-offs.; Overly simplistic or overly complex solutions without justification.
## Questions

- Design a system like TinyURL.
- Design a news feed system for a social media platform.
- How would you design a rate limiter?
- Design a system to count unique visitors to a website.
- Design a distributed key-value store.

## Preparation tips

- Study common system design interview topics and patterns.
- Practice designing systems for various use cases.
- Understand trade-offs between different technologies and approaches (e.g., SQL vs. NoSQL, REST vs. gRPC).
- Be prepared to discuss databases, caching, load balancing, message queues, and microservices.
- Practice drawing system diagrams and explaining them clearly.

## Round 3: Behavioral and Managerial Fit
**Type:** Behavioral and Managerial Interview · **Difficulty:** Medium · **Duration:** 45 min
Assess past experiences, behavioral competencies, and cultural fit.
This round focuses on your past experiences, behavioral competencies, and overall fit with AMD. The interviewer will ask questions about your career history, how you've handled specific situations (e.g., conflicts, failures, successes), your strengths and weaknesses, and your motivations. The goal is to understand your working style, leadership potential, and how you would contribute to the team and company culture.
**Interviewers look for:** Evidence of collaboration and teamwork.; Examples of leadership and initiative.; Problem-solving skills in real-world scenarios.; Cultural alignment and positive attitude.; Passion for technology and AMD's mission.
**Evaluation criteria:** Past experiences and accomplishments.; Behavioral competencies (teamwork, leadership, problem-solving).; Cultural fit and alignment with AMD's values.; Motivation and career aspirations.
**Common rejection reasons:** Lack of clear examples to support claims.; Inability to articulate past experiences effectively.; Poor alignment with company values or team dynamics.; Lack of enthusiasm or passion for the role/company.; Defensiveness when discussing failures or challenges.
## Questions

- Tell me about a time you faced a significant technical challenge and how you overcame it.
- Describe a situation where you had to work with a difficult team member.
- What are your strengths and weaknesses as an engineer?
- Tell me about a project you are particularly proud of and your role in it.
- How do you handle tight deadlines and pressure?

## Preparation tips

- Prepare specific examples using the STAR method (Situation, Task, Action, Result) for common behavioral questions.
- Reflect on your career goals and how this role aligns with them.
- Research AMD's company values and culture.
- Be ready to discuss your strengths and weaknesses honestly.
- Show enthusiasm and genuine interest in the role and AMD.