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GPU Software Development Engineer at INTEL summary:

As a GPU Software Development Engineer at Intel, I focus on software validation and the development of automated testing tools for graphics drivers and applications. My role involves in-depth collaboration across hardware and software teams to ensure high-performing, scalable solutions throughout the product lifecycle. With a solid background in programming and experience in pre-silicon environments, I contribute to innovation in Intel's client computing products.

Job Description


Do Something Wonderful
Intel put the Silicon in Silicon Valley. No one else is this obsessed with engineering a brighter future. Every day, we create world changing technology that enriches the lives of every person on earth. So, if you have a big idea, let's do something wonderful together. Join us, because at Intel, we are building a better tomorrow.
Are you passionate about software validation, developing tools, automating software validation process at scale or data processing, Then Client Graphics has opportunities for you. Our Graphics validation team is creating complex test tools and automated tests for Kernel Mode driver, Display drivers, Memory Managers, Virtualization and graphics/compute apps automation at scale. We deliver Intel's Software Graphics, media, display driver solutions across client, server and embedded markets. This position requires involvement in all phases of design from pre-silicon emulation/simulation through post-silicon product launch, covering aspects of functionality, power and performance and debuggability. In this position, you will have the opportunity to work with multiple teams such as OS (MSFT), BIOS, HW, Customer Engineering, multiple Graphics SW teams etc. The candidate should have passion for technology and software, outstanding communication and teamwork skills. In this position you will be responsible for working across Hardware and Software Architecture, Design, Simulation, development and Validation throughout the product lifecycle to deliver high performing, scalable and power efficient hardware and software solutions.
Other skills we are looking for:
- Desire and ability to quickly learn and gain new knowledge
- Strong attention to technical details, data analysis, documentation, problem solving and influencing skills, along with ability to work with different geographical locations
- Strong written and verbal communication skills

Qualifications


Minimum qualifications are required 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 Engineering, Computer Science or in Electrical Engineering or related field with 6+ years of relevant software development or validation industry experience, or
Master's degree in Computer Engineering, Computer Science or in Electrical Engineering or related field with 4+ years of relevant software development or validation industry experience.

Experience should be in the following:
- Hands on experience with one or more programming languages (C/C++) and/or scripting languages (Python)
- Experience in defining validation strategy and test plans, developing automated tests, driving debug for issue resolution
- Experience with graphic drivers, GPU hardware and low level GPU programming
- Ability to understand Graphics HW and relevant specifications needed to develop/validate the software
- Experience working in systems (hardware/software) product development teams
- Experience with pre-silicon environments: simulation, emulation, validation tools

Preferred Qualifications:
- Experience in power management, memory management, scheduler, virtualization, and other components of kernel mode driver
- Development experience in C/C++/Python
- Experience in using AI/ML techniques using structured and unstructured data
- Proficient in AI/ML frameworks (TensorFlow, PyTorch, Keras, scikit-learn)

- Understanding of Intel Graphics HW

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.

Other Locations

US, Santa Clara

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 $146,520.00-$206,860.00
*Salary range dependent on a number of factors including location and experience

Working Model


This role will be eligible for 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:

GPU development, software validation, automated testing, graphics drivers, C++ programming, Python scripting, hardware integration, validation strategy, AI/ML techniques, client computing

Average salary estimate

$176690 / YEARLY (est.)
min
max
$146520K
$206860K

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 GPU Software Development Engineer, Intel

As a GPU Software Development Engineer at Intel, you'll be diving into the exciting world of software validation and the development of automated testing tools for graphics drivers and applications. In this role, you'll engage closely with teams across both hardware and software, ensuring that our solutions are high-performing and scalable throughout the product lifecycle. At Intel, we’re kind of obsessed with innovation and engineering a brighter future, and we invite you to bring your passion for technology and software into this collaborative environment. Joining our Graphics validation team means you'll have the chance to create complex test tools and automated tests, working with Kernel Mode drivers, Display drivers, Memory Managers, and more! You will be involved in all aspects of the design, from pre-silicon simulation through to the product’s launch. If you have a knack for programming, especially in languages like C/C++ and Python, and a love for tackling new challenges, then this is the perfect opportunity for you. Your attention to detail, problem-solving abilities, and outstanding communication skills will be your guiding lights as you work with diverse teams to deliver Intel's revolutionary Software Graphics and media solutions. So, if you're ready to contribute to technology that enriches lives, let's do something wonderful together at Intel!

Frequently Asked Questions (FAQs) for GPU Software Development Engineer Role at Intel
What are the main responsibilities of a GPU Software Development Engineer at Intel?

As a GPU Software Development Engineer at Intel, your primary responsibilities include software validation, the development of automated testing tools, and collaboration with hardware and software teams to create high-performing solutions. You will actively partake in the entire product lifecycle, from pre-silicon simulation to post-launch validation, ensuring that all graphics drivers and applications are functioning optimally.

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What qualifications do I need to become a GPU Software Development Engineer at Intel?

To be considered for the GPU Software Development Engineer position at Intel, you should have a Bachelor's or Master's degree in Computer Engineering, Computer Science, or Electrical Engineering. Additionally, candidates should possess relevant industry experience in software development or validation, familiarity with programming languages such as C/C++ and Python, and an understanding of GPU hardware, graphic drivers, and low-level programming.

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What programming languages should a GPU Software Development Engineer at Intel be proficient in?

A GPU Software Development Engineer at Intel should be proficient in programming languages like C/C++ and familiar with scripting languages such as Python. Experience with these languages is crucial for developing automated tests, defining validation strategies, and collaborating effectively in a hardware and software product development environment.

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What skills are important for a GPU Software Development Engineer at Intel?

Key skills for a GPU Software Development Engineer at Intel include strong analytical and problem-solving skills, attention to technical details, and excellent communication abilities. Additionally, candidates should be adept at understanding hardware and software integration, data analysis, and have a desire to learn and adapt quickly within a dynamic work environment.

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What is the working model for the GPU Software Development Engineer role at Intel?

The GPU Software Development Engineer role at Intel offers a hybrid working model. This allows you to split your time between on-site work at your assigned Intel site and working remotely, providing you with flexibility in your work arrangements while collaborating on groundbreaking technology.

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Common Interview Questions for GPU Software Development Engineer
Can you explain your experience with GPU programming?

When answering this question, highlight specific projects where you worked with GPU programming. Discuss the tools and languages you used, such as C/C++, and how your contributions impacted project outcomes.

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How do you approach software validation and automated testing?

Outline your approach to software validation by discussing the strategies you’ve used to develop test plans and execute automated tests. Provide examples of past experiences where your validation efforts improved product quality.

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What challenges have you faced in pre-silicon validation?

Reflect on past challenges, such as debugging issues or performance bottlenecks, and describe how you approached and resolved these challenges. Emphasize the importance of collaboration and communication with cross-functional teams during this process.

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How do you stay updated with the latest developments in GPU technology?

Discuss your commitment to continuous learning, whether through attending industry conferences, reading relevant literature, or participating in online forums. Share specific resources that help you stay informed about GPU advancements.

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Can you describe a complex problem you solved in your previous roles?

Offer a detailed account of a specific problem, your thought process in tackling it, the steps you took, and the outcome. This shows your analytical thinking and problem-solving capabilities.

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What experience do you have with C/C++ and Python?

Discuss specific projects where you utilized C/C++ and Python, detailing your role and contributions. If possible, provide metrics that demonstrate the impact of your work.

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How do you work effectively with cross-functional teams?

Explain your strategy for collaborating effectively, such as establishing open lines of communication, being receptive to feedback, and respecting each team member's expertise. Discuss any successful joint projects as examples.

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What do you think are the key qualities of a successful GPU Software Development Engineer?

Identify critical qualities like technical proficiency, teamwork, problem-solving, and adaptability. Discuss why these qualities are essential in the context of GPU development at Intel.

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What role does AI/ML play in your work with GPUs?

Highlight your understanding of how AI/ML can enhance GPU performance or software development, relating it to any specific experience you have with AI frameworks like TensorFlow or PyTorch.

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Why do you want to work at Intel as a GPU Software Development Engineer?

Convey your enthusiasm for working at Intel, focusing on its reputation for innovation, the impact of its technology on the world, and how your values align with the company's mission and culture.

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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, hybrid
DATE POSTED
April 17, 2025

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