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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

Performance Engineer - Deep Learning

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Tools Tester

NVIDIA seeks software engineers to optimize deep learning tools used globally for AI application design, development, and deployment.  The role involves optimizing model performance for NVIDIA GPUs, tuning large-scale training workloads, optimizing production AI models for enterprise clients, contributing to community benchmarks (like MLPerf), and working with cutting-edge models.  Collaboration with internal teams and the open-source community is crucial.  The position influences NVIDIA's AI platform and contributes directly to frameworks like TensorFlow, PyTorch, and MXNet.  It also involves informing the design of new hardware and software components.

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

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<div data-automation-id="jobPostingDescription" class="css-4r17ng">NVIDIA is hiring software engineers at all experience levels to build and optimize the tools Deep Learning engineers use across the world to design, develop, and deploy AI applications. This position will embed you in an ambitious and diverse team that influences all areas of NVIDIA's AI platform and directly contributes to premiere Deep Learning frameworks - Tensorflow, PyTorch, and MXNet. In this role you will work with multiple teams at NVIDIA across fields, as well as collaborate with the open-source community to optimize the best AI platform in the world.What you will be doing:<ul><li>Optimize the performance of Deep Learning models for NVIDIA GPUs and systems.</li><li>Study and tune Deep Learning training workloads at large scale.</li><li>Optimize production AI models used by enterprise customers and partners.</li><li>Build and support NVIDIA submissions to community benchmarks like MLPerf.</li><li>Optimize the performance of influential, contemporary models coming out of academic and industry research, for NVIDIA GPUs and systems.</li><li>Deliver the benefits of NVIDIA’s latest hardware and platform software innovations to the Deep Learning community.</li><li>Inform design of new hardware generations, and core platform software components for NVIDIA GPUs and systems.</li></ul>What we need to see:<ul><li>BS or equivalent experience in Computer Science, Electrical Engineering or a related field.</li><li>2+ years of experience with C++ and Python programming.</li><li>Strong background with parallel programming, preferably on GPUs.</li><li>Knowledge of Computer Architecture and/or Operating Systems.</li><li>Proven experience developing large software projects.</li><li>Excellent verbal and written communication skills.</li></ul>Ways to stand out from the crowd:<ul><li>Experience in PyTorch, Tensorflow or MXNet.</li><li>Background with performance analysis and profiling of workloads.</li><li>Participation in the open source community.</li><li>Proven experience working with multidisciplinary teams.</li></ul>With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and dedicated people in the world working with us and our engineering teams are contributing to some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative and motivated software engineer with a real passion for building fast software solutions, as well as impacting AI development worldwide, we want to hear from you. The base salary range is 120,000 USD - 235,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.<div><div><div><div><div><div><div>You will also be eligible for equity and <a rel="noopener noreferrer" target="_blank" href="https://www.nvidia.com/en-us/benefits/">benefits</a>. NVIDIA accepts applications on an ongoing basis. </div></div></div></div></div></div></div>NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.#deeplearning</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.