Software Development

Numrah

Software Engineer (AI)

Senior Fullstack Engineer

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Test your Unity Animations knowledge with this quiz! Explore concepts like Animator Controller, Blend Trees, and many more.

Test your Unity UI knowledge with this quiz! Explore essential concepts like Canvas, EventSystem and many more. 

Challenge yourself with this Unity Input System quiz! Test your skills in input mapping, device handling, and action events.

Take your Unity skills to the next level with Part 3 of this quiz, covering scripting, physics, rendering, and performance optimization!

Test your Unity expertise with this quiz, covering initialization to advanced rendering and physics!

Test your Unity knowledge with this comprehensive quiz, covering everything from MonoBehaviour basics to advanced physics, rendering, and optimization techniques across multiple difficulty levels!

Assess your knowledge of Unity's Rigidbody component and its advanced physics interactions with this in-depth quiz!

Test your understanding of Unity’s Physics, Movement, and MonoBehaviour with this insightful beginner-friendly quiz!

Dive into the fundamentals of open-world game development in Unity with this beginner-friendly quiz.

Challenge yourself with this beginner-friendly quiz on building an endless runner in Unity!

Test your beginner-level knowledge of Unity platformer development with this engaging quiz.

Test your basic knowledge of Unity and Unreal Engine with this beginner-friendly quiz on game development fundamentals.

This assessment evaluates your understanding of Unity's component-based architecture, how GameObjects and their components interact, the hierarchy system with nested GameObjects, and how to reference them in scripts.

This assessment evaluates your understanding of Unity's NavMesh system, including navigation baking, NavMeshAgents, pathfinding, obstacles, and scripting interactions with NavMesh to create AI-driven movement.

An assessment to test the correct usage of Unity's events and lifecycle functions in the context of the game "Clash Royale"

- This assessment gives us an idea of your C++ skills - Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! 📋 &nbsp;- This assessment gives us an idea of your problem solving skills using DSA - Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Programming Patterns! 📋- This assessment gives us an idea of your code architecture skills - Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your OOPs skills! 📋- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills - Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc. - 10 Multiple Choice questions - Average time to complete: 7 to 10 minutes

Let's assess your Unity Skills 📋 - This assessment gives us an idea of your Unity fundamentals - Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc. - 9 questions: 9 Multiple Choice - Minimum score needed to qualify: 80% - Average time to complete: 5 to 10 minutes

NVIDIA

System Software Engineering Intern, Autonomous Vehicles - 2025

Director of Mechanical Engineering

Senior Post-Silicon Characterization Engineer

Hackathon Program Manager - EMEA

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ASIC Design Engineer

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Niantic

Staff Software Engineer

This internship focuses on autonomous vehicle system software engineering, specifically working with NVIDIA DRIVE™ platform.  Responsibilities include understanding and modifying the existing replay environment (Open and Closed Loop), triaging in-car data sessions, providing support to stakeholders on replay tools, developing an automated evaluator framework for high-computation data centers, analyzing results to identify bugs and areas for improvement, incorporating code fixes via CI/CD, and documenting the replay environment. The role requires strong C++ and Python skills in a Linux environment and familiarity with ADAS functions and architecture.

Explore gaming industy jobs in one of the leading Game Studios.

Developer Technology Engineer - HPC and AI

Senior Embedded System Software Engineer

<div data-automation-id="jobPostingDescription" class="css-4r17ng">Autonomous vehicles need a supercomputer on wheels, it's an AI &amp; SW heavy computational challenge. There isn't an off-the-shelf platform which stands up to this challenge, so we are building our own. NVIDIA DRIVETM has been one of the most popular platforms for autonomous driving. Many startups around the globe use NVIDIA technology to develop self-driving vehicles. We are looking for an enthusiastic student to join the Software Solution Architect team with primary focus on autonomous driving.What you will be doing:<ul><li>Understanding the existing Replay environment - Both Open loop and Closed Loop Replay and make necessary changes in the code as per the use cases from different stake holders (Developers, testers, Function Owners etc )</li><li>Triage Data Sessions from the in-car environments - Provide Guidance/ Help to stakeholders to get the sessions running in OLR (Open loop Replay) and CLR (Closed loop Replay)-Hand holding using Replay tools.</li><li>Writing Evaluator framework to get&nbsp;the replay sessions Automated in a High computation- Data center Environment</li><li>Analyze the results to identify the bugs, inconsistencies, or Areas of improvement- Related to Replay systems/Tools&nbsp;and make sure that approved changes/code fixes are incorporated using the CI/CD infrastructure</li><li>Document replay environment architecture and usage procedures.</li></ul>What we need to see:<ul><li>You are a Master/PhD student (in Computer Science, Electrical Engineering or Computer Engineering or Robotics)</li><li>Have good C++ and Python Coding capabilities in Linux based Infrastructure&nbsp;</li><li>Should have worked Gitlab or Similar Code Repositories</li><li>Good understanding of ADAS functions and architecture</li></ul>NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative, autonomous, have a real passion for technology, and love a new challenge we want to hear from you.</div>

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This assessment gives us an idea of your C++ skills- Companies that evaluate this skillset in interviews: Rockstar Games, Ubisoft, Mayhem Studios, etc.- 10 Multiple Choice questions- Average time to complete: 7 to 10 minutes

Let's assess your Data Structures! - This assessment gives us an idea of your problem solving skills using DSA- Companies that evaluate this skillset in interviews: MPL, LILA Games, GSN Games, etc.- 10 Multiple Choice questions

Data Structures and Algorithms

Let's assess your Programming Patterns! ????- This assessment gives us an idea of your code architecture skills- Companies that evaluate this skillset in interviews: Dirtcube, PTW, Playshifu, etc.

Programming Patterns

Let's assess your OOPs skills! ????- This assessment gives us an idea of your fundamental OOPS concepts and Solid principles skills- Companies that evaluate this skillset in interviews: Hitwicket, GSN Games, Tomo Club, etc.

Object Oriented Programming

Let's assess your Unity Skills ????- This assessment gives us an idea of your Unity fundamentals- Companies you can apply for after taking this assessment: Godspeed games, Salvation Games, nCore Games, etc.

Unity Game Engine

Unity Event Functions - Clash Royale

Unity Component System

Unity NavMesh Agent

Game Dev Assessments

Unity and Unreal: Beginner

Unity Platformer: Beginner

Unity Open World: Beginner

Unity: Physics, Movement, MonoBehaviour

Unity: Rigidbody

Unity: Knowing Unity Part 1

Unity: Knowing Unity Part 2

Unity: Knowing Unity Part 3

Unity: Input System

Unity: UI

Unity: Animations

Numrah is seeking a Software Engineer (AI) proficient in Arabic to integrate Large Language Models (LLMs) into their systems.  Responsibilities include collaborating with backend, product, and ML teams; writing production-level code; applying ML fundamentals to real-world scenarios;  manipulating data with Pandas and NumPy;  fine-tuning LLMs using tools like OpenAI, HuggingFace, or LangChain; and producing regular reports documenting work.  A basic understanding of machine learning principles, software engineering fundamentals, and strong communication skills are essential.

<div class="description">Numrah builds intelligent, modern applications that combine strong engineering with practical machine learning. We're looking for a Software Engineer (AI) who’s excited to work at the intersection of code and data. You’ll collaborate closely with our backend, product, and ML teams to ship smart, scalable features—including integrating Large Language Models (LLMs) into our systems. You should be comfortable writing production-level code, have a grasp of ML fundamentals, and be curious about applying models in real-world, user-facing scenarios. Must-Have 1- Be an Arabic speaker. 2- Solid experience with Python and core programming concepts 3- Have a grasp of Software Engineering fundamentals (OOP, Data Structures and Algorithms) 4- Basic understanding of machine learning principles (e.g., supervised learning, model evaluation, etc.) 5- Familiarity with integrating and finetuning LLMs using tools like OpenAI, HuggingFace Transformers, or LangChain 6- Comfort with data manipulation tools (Pandas, NumPy, etc.) 7- Strong research and documentation skills (you will be asked to write regular reports documenting your work). 8- Strong communication and collaboration skills—you're a team player Nice-to-Have 
<ul><li>Experience deploying LLM-powered features into production environments</li><li>Exposure to cloud services like Google Cloud, AWS, or Azure</li><li>Basic understanding of REST APIs and backend service design</li><li>MLOps knowledge (e.g., model monitoring, versioning, deployment)</li><li>Interest in NLP, chatbot systems, or building smart user-facing assistants</li><li>Experience with tools like LangChain, Vector DBs (e.g., Pinecone, Weaviate), or RAG pipelines</li></ul></div>