Cadence Interview Experience | 3 Technical Rounds, DSA, C++ and a Puzzle

Suman

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My interview experience at Cadence, Noida — the questions I was asked, the concepts tested, and lessons for future interview candidates.

Technical interviews are not always about how many problems you have solved or how many programming concepts you can recall. They are about how you approach an unfamiliar problem, how clearly you explain your reasoning, and whether you genuinely understand the fundamentals behind the code you write.

I recently got the opportunity to interview with Cadence, and it turned out to be an intense yet valuable learning experience.

The interview was scheduled for September 16 at 11:00 AM at the company’s Noida office. The selection process consisted of three elimination rounds, and each round tested a combination of Data Structures and Algorithms (DSA) and in-depth C++ knowledge.

In this article, I am sharing my interview experience, the coding questions and C++ concepts I encountered, and a few takeaways that might help someone preparing for similar roles.

1. Interview Process

The interview process consisted of three rounds, with each round being an elimination round.

I visited the Cadence Noida office for the interview. The discussions primarily focused on two major areas:

• Data Structures and Algorithms: Problem-solving ability, understanding of data structures, algorithmic thinking, and writing optimized solutions.
• C++ Programming: In-depth understanding of C++ concepts, object-oriented programming, memory management, and implementation.

One thing I noticed throughout the process was that knowing the solution was not enough. The interviewers wanted to understand how I arrived at it.

I was asked to write code on a sheet of paper, dry-run it using sample inputs, and explain my approach clearly. This made it important to think through edge cases, explain the logic, and demonstrate a proper understanding of the implementation.

2. Data Structures and Algorithms Questions

DSA was a significant part of the interview process. The questions covered arrays, linked lists, graphs, heaps, and problem-solving scenarios.

Here are the questions I remember.

Arrays and Dynamic Programming

1. Two Sum

Given an array of integers and a target value, find the indices of two numbers whose sum equals the target.

This is a fundamental problem, but it is useful for demonstrating the difference between a brute-force approach and an optimized solution using a hash map.

2. Best Time to Buy and Sell Stock

Given an array representing stock prices on different days, find the maximum profit achievable by buying and selling the stock once.

3. Best Time to Buy and Sell Stock II

A variation of the previous problem where multiple transactions are allowed, subject to the buying and selling constraints.

These questions test your understanding of array traversal, optimization, and greedy thinking.

Graph Algorithms

4. Modified DFS Question

I was asked a modified problem based on Depth-First Search (DFS). It tested whether I could apply the basic graph traversal technique to a slightly different problem scenario.

5. Modified BFS Question

Another variation involved Breadth-First Search (BFS). Rather than simply implementing the standard traversal, the focus was on adapting the approach to satisfy the given conditions.

6. Clone a Directed Graph

Given a directed graph, implement a deep copy of the graph.

This question requires understanding graph representation, traversal, and maintaining a mapping between original nodes and their corresponding cloned nodes. Handling cycles and avoiding duplicate node creation are particularly important.

Heaps and Top-K Problems

7. Find the Top K Elements

Given a collection of elements, find the K largest elements.

This problem tests your understanding of heaps, priority queues, and time complexity. It is useful to know both sorting-based and heap-based approaches.

Linked List

8. Rearrange a Linked List Based on Divisibility

Given a linked list, rearrange the elements so that:

1. All values divisible by 3 appear first.
2. All values divisible by 2 appear next.
3. All remaining values appear at the end.

The relative order of elements within each group should be maintained according to their original order in the linked list.

This was an interesting question because it tested more than basic linked list traversal. The important part was preserving the original relative order while rearranging the nodes into three groups.

Problem Solving with Streams and Strings

9. Reverse Every Word in an Infinite Input Stream

I was given a scenario involving an infinite input stream and asked to print the output such that each word is printed in reverse order.

This was an interesting problem because the infinite-stream constraint changes how we think about processing input. We need to consider processing data incrementally instead of assuming that the entire input is available in memory.

It tests problem-solving beyond the usual array and string questions.

3. C++: Going Beyond the Basics

The C++ discussions were particularly interesting because the interviewers did not restrict themselves to asking definitions.

They generally started by discussing a concept and then asked me to implement it or write relevant code on a sheet of paper.

Some of the important topics covered were:

1. Singleton Class

I was asked about the Singleton design pattern and how to ensure that a class has only one instance throughout the application.

The discussion involved understanding how a Singleton class is designed and how its instance is accessed.

2. Custom Copy Constructor

I was asked about copy constructors and how to implement a custom copy constructor.

The important concepts here include:

• Shallow copy versus deep copy.
• Copying objects containing dynamically allocated memory.
• Understanding when a default copy constructor may not be sufficient.

The ability to write a custom copy constructor is particularly important when dealing with resource management.

3. Smart Pointers

Smart pointers were another important topic.

The discussion covered strong and weak pointers, how they work, and how they are implemented internally at a conceptual level.

Some important concepts to revise for this topic are:

• shared_ptr
• weak_ptr
• Reference counting.
• Ownership management.
• How weak references help avoid circular ownership and memory leaks.

The discussion went beyond simply knowing how to declare a smart pointer. Understanding how ownership and reference counting work internally was important.

4. Static Variables

Questions related to static variables were also discussed.

It is important to understand the difference between static and non-static data members, their lifetime, and how they behave when multiple objects of a class are created.

5. Virtual Functions

I was also asked about virtual functions and their implementation.

Important areas to understand include:

• Runtime polymorphism.
• Function overriding.
• Dynamic binding.
• Base-class pointers and derived-class objects.
• Virtual destructors and why they are important.

Overall, the C++ discussions emphasized understanding the concepts deeply and being able to translate that understanding into code.

4. The Puzzle Question

Apart from DSA and C++, I was also asked a classic puzzle involving a camel and bananas.

This is a mathematical and logical reasoning puzzle that involves transporting bananas across a desert while considering the camel’s carrying capacity and the number of bananas it consumes while travelling.

I found it interesting because it required a different kind of thinking compared to the programming questions.

It was a reminder that technical interviews can also test logical reasoning and the ability to break a problem into smaller parts.

5. What Made This Interview Different?

One aspect I found particularly important was the emphasis on explaining the solution.

In several questions, the expectation was not simply to arrive at the final code.

I had to:

• Write the complete solution on a sheet of paper.
• Explain the approach before or while implementing it.
• Dry-run the code with sample inputs.
• Demonstrate how the solution works.
• Show that I understood the underlying concepts.

This is something I would strongly recommend practising before attending an interview.

Solving a problem on an online coding platform is one thing. Explaining the same solution without an IDE, compiler, or autocomplete is a different experience altogether.

6. Final Outcome and Reflections

After three elimination rounds, three candidates, including me, had cleared all the rounds.

However, there was only one position available, so the final selection was made among the three shortlisted candidates.

This made the process particularly competitive.

Regardless of the final outcome, the experience gave me valuable insight into what companies expect from candidates during technical interviews.

It also reinforced an important lesson: having solved hundreds of DSA problems does not automatically mean you are prepared for every interview. You need to understand the fundamentals, communicate your thought process, and be comfortable implementing solutions from scratch.

7. Preparation Tips for Future Candidates

Based on my experience, here are the topics I would recommend prioritising for anyone preparing for a similar technical interview.

DSA:

• Arrays and Hashing
• Two Pointers and Sliding Window
• Linked Lists
• Stacks and Queues
• Trees and Graphs (BFS and DFS)
• Heaps and Priority Queues
• Greedy Algorithms
• Dynamic Programming
• Top-K element problems

C++:

• Object-Oriented Programming
• Constructors and Destructors
• Copy Constructor and Assignment Operator
• Shallow Copy vs Deep Copy
• Static Members
• Virtual Functions and Runtime Polymorphism
• Smart Pointers (shared_ptr, weak_ptr)
• Memory Management
• Singleton Design Pattern

Additional preparation:

• Practise writing code on paper.
• Dry-run solutions with different test cases.
• Explain time and space complexity.
• Revise commonly asked logical puzzles.
• Understand the internal working of C++ concepts rather than memorising definitions.

Closing Thoughts

Every interview teaches you something new.

Sometimes it reveals concepts you need to revise. Sometimes it challenges the way you approach a problem. And sometimes, it simply makes you realise how much more there is to learn.

My Cadence interview was a combination of problem-solving, programming fundamentals, and logical reasoning. The experience reminded me that strong fundamentals and clear communication go hand in hand.

For anyone preparing for upcoming technical interviews, my biggest suggestion would be:

Do not just practise solving problems. Practise explaining them, implementing them on paper, and defending your approach.

That is where real understanding becomes visible.

Thanks for reading! I hope this experience helps someone preparing for their next technical interview.

If you have had a similar interview experience, feel free to share your questions and preparation strategies in the comments. Learning from each other’s experiences makes the preparation journey a little easier.