Job Description
The Role and Impact
As a GPU Software Development Engineer, you will play a critical role in designing and developing software solutions that enable Intel's GPUs, ranging from firmware and device drivers to APIs and application layers. You will work on cutting-edge kernel-level features that drive functionality, power management, and performance optimization for integrated and discrete graphics products. Your contributions will directly shape immersive visual experiences for millions of users, ensuring Intel's leadership in graphics technologies.
Business Group
We are the Windows Kernel Mode Driver Team within Intel's Client Graphics IP group of DCG. Our primary objective is the development and deployment of robust and performant Windows kernel GPU drivers. These drivers are instrumental in unleashing the full potential of Intel's integrated and discrete GPU hardware for user-space clients, games, and applications.
Our focus lies in managing critical low-level functions, including device activation, reset and power state transitions, workload submission, power conservation, and scheduling, as well as collaboration with System-on-Chip (SOC) Intellectual Properties (IPs). With this charter, we conceive, create, and verify software solutions that serve as the link between user-space applications and the underlying GPU and SOC. If you thrive in an environment that involves working on system-level software, with regular exposure to diverse domains such as graphics rendering, firmware, SOC, and power management, then a role on our Kernel Mode Driver Team is where you should be.
Key Responsibilities
•Develop, validate, and optimize GPU kernel-mode drivers for Windows operating systems.
•Collaborate on implementing low-level features, including device activation, power management, and workload scheduling for integrated and discrete GPUs.
•Design and debug firmware and software features related to GPU hardware and accompanying System-on-Chip (SOC) components.
•Analyze telemetry and resolve complex issues across layers of driver stacks, domains, and IP integration.
•Contribute to the creation of test frameworks, workload automation, and validation methodologies to ensure high-quality code delivery.
Qualifications
Minimum Qualifications are required to be initially considered for this position:
•Bachelor's degree in Computer Science, Electrical or Computer Engineering, or a related STEM field.
•3+ years of relevant industry experience, in two or more of the experience below:
•Python for automation/data analysis and C/C++ for firmware and software development.
•Developing kernel-mode device drivers for Windows OS, including knowledge of WDDM and kernel-level programming.
•GPU (Graphic Processing Unit) hardware, graphic drivers, and low-level GPU programming.
•Debugging methodologies and hardware/software specifications for development and validation.
Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.
Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates:
•Master's degree with 1+ years of relevant industry experience.
•Background in power management, scheduler optimization, or memory management in kernel-mode driver development.
•Knowledge of graphics, video, and display technologies.
•Experience working collaboratively in hardware/software product development teams.
•Experience working with other scripting languages for automation purposes.
Job Type
Experienced Hire
Shift
Shift 1 (United States of America)
Primary Location
US, California, Folsom
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
Annual Salary Range for jobs which could be performed in the US: $111,030.00–211,200.00 USD. The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
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.
