Nvidia Senior Software Engineer Interview Experience 2025
Hello Guys, This role is for Senior Software engineer of experience 8 + where they were expecting Kubernetes knowledge plus docker, Virtual Machines, Coding expertise and OS knowledge mostly
Roles based on Infrastructure side of it,
Basically they have five rounds and each rounds contain coding test.
Below is the first round interview questions that they have asked.
Tell me about your roles and responsibility in your current organization?
This was a starter question on which interviewer was gathering basic info before proceeding the interview.
its a good chance to showcase what are your strengths and skillsets techstacs etc.
Differences Between Microservices and Service-Oriented Architecture (SOA)
If you are working as backend services you should know these terminologies. This also helps in system design interview.
Regarding System Design bytebytego is my my got to resource.
What are the Disadvantages of microservices?
- Increased complexity: Because microservices are distributed, managing service communication can be challenging. Developers may have to write extra code to ensure smooth communication between modules.
- Deployment and versioning challenges: Coordinating deployments and managing version control across multiple services can be complex, leading to compatibility issues.
- Testing complexity: Testing microservices involves complex scenarios, mainly when conducting integration testing across various services. Orchestrating this task can be challenging.
- Debugging difficulties: It can be demanding to debug an application that contains multiple microservices, each with its own set of logs. A single business process can run across multiple machines simultaneously, compounding complexity.
- Data management challenges: Data consistency and transactions across multiple services can be complex. Microservices architecture calls for careful data management and coordination to support data integrity.
While many companies increasingly prefer microservices architecture, you can overcome operational hurdles and foster resilience within a microservices-based system by following DevOps best practices and embracing the procedures mentioned below.
What is containerization?
Containerization is the packaging of software code with just the operating system (OS) libraries and dependencies required to run the code to create a single lightweight executable — called a container — that runs consistently on any infrastructure.
Containers vs VMs (virtual machines): What are the differences?
Containers are lightweight, portable, and self-contained executable images that contain software applications and their dependencies. They are used to deploy and run applications in a consistent way across different environments, such as development, staging, and production. Containers are typically deployed from an image by using an orchestration platform, like Kubernetes. These platforms provide a way to manage and deploy containers at scale.
Containers have a number of benefits over traditional virtualization methods. As they are more lightweight and portable than VMs, containers support decomposition of a monolith into microservices. Containers are faster to manage and deploy than VMs, which can save time and money with application deployment.
Explain about Kubernetes Component?
The components of a Kubernetes cluster
Core Components:
A Kubernetes cluster consists of a control plane and one or more worker nodes. Here’s a brief overview of the main components:
Control Plane Components:
Manage the overall state of the cluster:
kube-apiserverThe core component server that exposes the Kubernetes HTTP APIetcdConsistent and highly-available key value store for all API server datakube-schedulerLooks for Pods not yet bound to a node, and assigns each Pod to a suitable node.kube-controller-managerRuns controllers to implement Kubernetes API behavior.cloud-controller-manager (optional)Integrates with underlying cloud provider(s).
Node Components
Run on every node, maintaining running pods and providing the Kubernetes runtime environment:
kubeletEnsures that Pods are running, including their containers.kube-proxy (optional)Maintains network rules on nodes to implement Services.Container runtimeSoftware responsible for running containers. Read Container Runtimes to learn more.
Your cluster may require additional software on each node; for example, you might also run systemd on a Linux node to supervise local components.
Addons
Addons extend the functionality of Kubernetes. A few important examples include:
DNSFor cluster-wide DNS resolutionWeb UI (Dashboard)For cluster management via a web interfaceContainer Resource MonitoringFor collecting and storing container metricsCluster-level LoggingFor saving container logs to a central log store
what is Kubectl?
Kubectl is a command-line tool that serves as the primary interface for interacting with Kubernetes clusters. It allows users to perform a wide range of operations, including deploying applications, managing cluster resources, and troubleshooting issues.
Overview of Kubectl
- Communication with Kubernetes: Kubectl communicates with the Kubernetes API server, which is the core component of the Kubernetes control plane. This API server exposes an HTTP REST API that allows users to manage and control the state of resources within the cluster23.
- Command Structure: The general syntax for kubectl commands is:
kubectl [command] [TYPE] [NAME] [flags]
- [command]: The action to perform (e.g., create, delete, get).
- [TYPE]: The type of resource (e.g., pods, services).
- [NAME]: The name of the resource (optional).
- [flags]: Additional options for the command13.
Key Capabilities
- Application Deployment and Scaling: Kubectl simplifies the deployment and scaling of applications, allowing users to adjust application instances based on demand directly from the command line1.
- Resource Management: Users can manage various Kubernetes resources such as pods, deployments, and services. This includes creating, updating, and deleting resources as needed13.
- Troubleshooting: Kubectl is essential for diagnosing issues within applications running in a Kubernetes environment. It provides tools to quickly identify problems and implement solutions to minimize downtime14.
Common Use Cases
Here are some common kubectl commands:
kubectl get pods: Lists all pods in the cluster.kubectl apply -f <file.yaml>: Applies configuration changes defined in a YAML file.kubectl delete pod <pod-name>: Deletes a specified pod from the cluster56.
In summary, kubectl is an indispensable tool for developers and operators working with Kubernetes, providing a straightforward way to manage containerized applications and their underlying infrastructure.
Leet Code Program — problem to collect the maximum number of fruits from a basket while only choosing two types of fruits.
input = [“A”,”B”,”C”,A”]
output = 2 as you can choose two fruits only
Its a two sum problem,
Below is a Java implementation of the problem to collect the maximum number of fruits from a basket while only choosing two types of fruits. The approach uses a sliding window technique
package com.cisco.aem.software.udl.transformer;
import java.util.HashMap;
public class Test {
public static int maxFruits(String[] fruits) {
HashMap<String, Integer> fruitCount = new HashMap<>();
int maxFruits = 0;
int left = 0;
for (int right = 0; right < fruits.length; right++) {
// Add the current fruit to the count
fruitCount.put(fruits[right], fruitCount.getOrDefault(fruits[right], 0) + 1);
// If we have more than 2 types of fruits, shrink the window from the left
while (fruitCount.size() > 2) {
String leftFruit = fruits[left];
fruitCount.put(leftFruit, fruitCount.get(leftFruit) - 1);
if (fruitCount.get(leftFruit) == 0) {
fruitCount.remove(leftFruit);
}
left++;
}
// Calculate the maximum fruits collected in the current window
maxFruits = Math.max(maxFruits, right - left + 1);
}
return maxFruits;
}
public static void main(String[] args) {
String[] fruits = {"A", "B", "C", "A"};
int result = maxFruits(fruits);
System.out.println(result); // Output: 2
}
}Thanks for Reading, i will add the next round experience here.
Thanks for reading
- 👏 Please clap for the story and follow me 👉
- 📰 Read more content on my Medium (21 stories on Java Developer interview)
Find my books here:
