> Markdown version of [/jobs/ext/4511588-gpu-software-development-engineer](https://www.wearedevelopers.com/jobs/ext/4511588-gpu-software-development-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# GPU Software Development Engineer

- **Company:** Intel Corporation
- **Location:** Folsom, CA, United States
- **Salary:** $111,030.0 - $211,200.0
- **Contract:** Internship / Graduate position
- **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Data Analysis, Application Layers, Automation of Tests, C++ (Programming Language), Computer Programming, Computer Engineering, Digital Rendering, Software Debugging, Device Drivers, Memory Management, Firmware, Performance Tuning, Software Engineering, Software Systems, System on a Chip, Scripting, Graphics Processing Unit (GPU), Gpu Programming, Information Technology
- **Published:** November 2, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3487401839&tx=FK5956FFI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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.

We are seeking passionate individuals who thrive in collaborative, technically driven environments and who are eager to make meaningful contributions to Intel's GPU technologies. Apply today to shape the future of graphics solutions with us.

## Description

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., 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., * 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., 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.