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AI Software Development Engineer

AI Software Development Engineer at INTEL summary:

The AI Software Development Engineer will focus on transforming real-time 3D rendering using AI algorithms and neural rendering techniques. The role involves architecting and developing optimized AI-based rendering software libraries and SDKs for 3D game developers, requiring a strong background in AI, 3D graphics, and software engineering. Collaborating with AI and graphics engineers, this position aims to create deep learning solutions that enhance performance and quality in 3D gaming.

Job Description


Are you passionate about transforming the world of realtime 3D rendering with AI? If so, we have an exciting opportunity for you. Join Intel XeSS Research and Development team and be at the forefront of revolutionizing real-time 3D rendering with AI algorithms and neural rendering techniques. As a part of our team, you'll delve deep into architecture, design, and development of optimized AI-based rendering software libraries, SDKs and algorithms for 3D game developers.

 

We are looking for a highly motivated senior AI Software Development engineer with a strong AI and 3D graphics background, and expertise in neural rendering techniques with track record in delivering and leading successful AI software projects. Working together with world-class AI and Graphics engineers, you will be developing deep learning solutions for 3D gaming, with focus on advanced techniques to provide dramatic performance and quality boost.

 

Qualifications


You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

Minimum qualifications:

  • Bachelor’s degree in Computer Science, Computer Engineering or Electrical Engineering or Physics or Mathematics or other related field with 6+ years of software development experience
  • Or Master's degree in Computer Science, Computer Engineering or Electrical Engineering or Physics or Mathematics or other related field with 4+ years of software development experience
  • Or Phd in Computer Science, Computer Engineering or Electrical Engineering or Physics or Mathematics or other related field with 2+ years of software development experience.

 

2+ years of experience with the following:

  • Developing AI models leveraging modern model architectures and approaches dealing with 3D Graphics and/or Visual Computing domains.
  • Building AI training datasets and performing AI model training.
  • Strong knowledge and practical experience with Pytorch. Solid Python programming skills.
  • Knowledge of broad range of AI algorithms and principles.

 

Preferred Qualifications :

  • 3D Graphics expertise.
  • Knowledge of GPU or Deep Learning Accelerator architectures.
  • Experience optimizing Deep Learning inference algorithms for GPU architectures.
  • Digital signal processing expertise.

Inside this Business Group


The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them. As the largest business unit at Intel, CCG is investing more heavily in the PC, ramping its capabilities even more aggressively, and designing the PC experience even more deliberately, including delivering a predictable cadence of leadership products. As a result, we are able to fuel innovation across Intel, providing an important source of IP and scale, as well as help the company deliver on its purpose of enriching the lives of every person on earth.

Posting Statement


All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits


We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.

Annual Salary Range for jobs which could be performed in the US $188,700.00-$266,400.00
*Salary range dependent on a number of factors including location and experience

Working Model


This role is available as a fully home-based and generally would require you to attend Intel sites only occasionally based on business need. This role may also be available as our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

Keywords:

AI Software Development, 3D Rendering, Neural Rendering, Deep Learning, Graphics Programming, Software Engineering, Pytorch, AI Algorithms, 3D Game Development, Visual Computing

Average salary estimate

$227550 / YEARLY (est.)
min
max
$188700K
$266400K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About AI Software Development Engineer, Intel

Are you ready to take your passion for AI and 3D graphics to the next level? Join Intel as an AI Software Development Engineer, where you'll be at the cutting edge of transforming real-time 3D rendering with innovative AI algorithms and neural rendering techniques. This incredible opportunity within the Intel XeSS Research and Development team allows you to work on architecting and developing optimized AI-based software libraries and SDKs tailored specifically for 3D game developers. Your strong background in AI and software engineering will be crucial as you collaborate with top-notch AI and graphics engineers to create exciting deep learning solutions that enhance performance and quality in gaming. Not only will you be tackling complex AI model architectures and 3D graphics, but you’ll also have the chance to make a significant impact in the evolving realm of 3D gaming. With a focus on advanced techniques that promise dramatic boosts in rendering performance, your creativity and expertise will be key to shaping this next-generation technology. If you possess a degree in Computer Science or a related field and bring extensive experience in software development, AI, and graphics, we want to hear from you!

Frequently Asked Questions (FAQs) for AI Software Development Engineer Role at Intel
What are the primary responsibilities of an AI Software Development Engineer at Intel?

The AI Software Development Engineer at Intel focuses on designing and developing optimized AI-based software libraries and SDKs aimed at enhancing 3D rendering performance for game developers. You'll collaborate closely with AI and graphics engineers to implement advanced AI algorithms and neural rendering techniques, playing a crucial role in improving the quality of real-time 3D rendering.

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What qualifications are needed to become an AI Software Development Engineer at Intel?

To be considered for the AI Software Development Engineer position at Intel, candidates typically need a Bachelor’s degree in Computer Science, Computer Engineering, or a related field, along with substantial software development experience—6+ years for a bachelor's, or fewer years with a master's or PhD. A strong background in AI, 3D graphics, and experience with Pytorch and AI model training is also essential.

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What kind of projects will an AI Software Development Engineer work on at Intel?

In this role, you can expect to work on pioneering projects that revolve around the integration of AI into 3D rendering and gaming. This includes creating deep learning solutions to refine the speed and quality of graphics rendering while utilizing neural rendering techniques, thus significantly enhancing the gaming experience.

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What are the preferred skills for an AI Software Development Engineer role at Intel?

Preferred skills for the AI Software Development Engineer role include expertise in 3D graphics, knowledge of GPU architectures, experience in optimizing deep learning inference algorithms, and a solid understanding of digital signal processing. These skills help drive innovation in AI-based rendering solutions.

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What does the work model look like for an AI Software Development Engineer at Intel?

Intel offers flexibility in work models for the AI Software Development Engineer position, allowing candidates to work fully remote or in a hybrid setup that enables a mixture of on-site and off-site work. This adaptability caters to varying employee needs while supporting a collaborative environment.

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Common Interview Questions for AI Software Development Engineer
Can you explain a project where you applied AI techniques to improve 3D rendering?

In your answer, detail a specific project where you utilized AI algorithms to enhance rendering performance. Discuss the techniques you used, any challenges faced, and the measurable outcomes. Highlighting your problem-solving skills and the technical tools you leveraged can show your expertise in both AI and 3D graphics.

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What is your experience with Pytorch in developing AI models?

When answering this question, provide specific examples of projects where you utilized Pytorch for building AI models. Mention the model architectures you developed or trained, how you prepared datasets, and any performance metrics achieved to demonstrate your hands-on experience with the framework.

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How do you stay updated with the latest trends in AI and 3D graphics?

Discuss your strategies for staying informed, such as attending industry conferences, reading research papers, or participating in online forums. Highlight any specific sources or communities you engage with to keep your knowledge of AI and graphics technology current.

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What methods do you use for optimizing AI algorithms for GPU architectures?

Explain your approach to optimization, detailing specific techniques you've implemented in previous projects. Talk about your familiarity with GPU programming models and any profiling tools you use to identify and address performance bottlenecks.

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Can you provide an example of a deep learning solution you've developed for 3D gaming?

Share a detailed narrative of a deep learning solution you created, including the problem it addressed, the architecture you chose, and the impact it had on 3D game performance. If possible, quantify the improvements to convey the significance of your work.

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What challenges have you encountered while working on AI software projects?

Highlight a few challenges you've faced, such as data sparsity, processing times, or model accuracy issues. Discuss how you approached these challenges and any strategies you developed to overcome them, showcasing your problem-solving capabilities.

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What tools do you prefer to use in AI model training and evaluation?

Mention your preferred programming languages, frameworks, and tools for AI model training. Discuss why you prefer these tools and how they enhance your workflow and efficiency when working on AI-related projects.

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How do you approach teamwork in interdisciplinary projects?

Emphasize your communication skills and collaborative nature. Share experiences where you successfully worked with engineers from different disciplines, how you facilitated discussions, and what outcomes were achieved through effective teamwork.

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What role does data augmentation play in your AI model development?

Share your understanding of data augmentation techniques and how you have applied them in previous projects. Discuss the effects on model performance and generalization, illustrating your knowledge of best practices in AI development.

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Describe how you handle deadlines and project management in your work.

Outline your time-management strategies and tools you utilize to meet project deadlines, particularly in fast-paced environments. Emphasize your organizational skills and how you set priorities to ensure successful project completion.

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MATCH
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BADGES
Badge ChangemakerBadge Diversity ChampionBadge Flexible CultureBadge Global CitizenBadge Work&Life Balance
CULTURE VALUES
Inclusive & Diverse
Rise from Within
Mission Driven
Diversity of Opinions
Work/Life Harmony
Growth & Learning
Transparent & Candid
Customer-Centric
BENEFITS & PERKS
Snacks
Onsite Gym
Family Coverage (Insurance)
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Learning & Development
Paid Time-Off
401K Matching
Maternity Leave
Paternity Leave
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
EMPLOYMENT TYPE
Full-time, remote
DATE POSTED
April 17, 2025

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