Software Enabling and Optimization Engineer – GPU Compute; Vulkan​/Cross-OS; f​/m​/d

Job Description

A unique Software Engineering position combining advanced GPU software engineering, software and hardware architectural influence, and GPU domain expertise to help deliver leading solutions on Intel Graphics architectures to market.

In this role, you will work with software vendors, institutions, open‑source communities, and internal engineering teams to enable and optimize GPU compute workloads on Intel platforms, helping ensure they run optimally on current and future Intel client systems, including laptops, desktops, and workstations. The role focuses on Vulkan‑based workloads, with development and optimization work across Windows, Linux, and ChromeOS.

You will research, develop, prototype, and optimize software solutions that leverage Intel GPU capabilities and drive adoption with strategic ecosystem partners. The team supports a broad range of workloads, including content creation, media, productivity, AI/ML acceleration, and commercial applications, often spanning CPU, GPU, and NPU execution. As partner needs and Intel priorities evolve, the technology focus of the role may also evolve accordingly.

You will support software development across the full lifecycle, including feature definition, project setup, implementation, optimization, validation, and go‑to‑market activities. The role also involves direct engagement with independent software vendors (ISVs) and open‑source communities, technical consultation, performance analysis, and close collaboration with Intel engineering teams to resolve software and platform issues.

In addition, you will provide technical feedback to Intel product, software, and architecture teams to help improve future technologies and solutions while staying current on ecosystem trends and emerging technologies. This role offers an excellent opportunity to deepen GPU engineering expertise while building strong project execution, technical influence, and customer engagement skills.

Responsibilities may include, but are not limited to:

• Analyze, design, implement, debug, and optimize GPU compute software solutions and enabling technologies.
• Develop prototypes, proof‑of‑concepts, and performance experiments using Vulkan‑based compute and related software stacks.
• Understand partner requirements and help align software‑enablement activities with Intel's graphics and platform technology strategy.
• Ensure that software released by leading ISVs and ecosystem partners runs optimally on Intel client platforms.
• Perform workload characterization, bottleneck analysis, debugging, profiling, benchmarking, and performance tuning on Intel and competitive platforms.
• Collaborate with partners and internal teams on software architecture, implementation, validation, and optimization across Windows, ChromeOS, and Linux.
• Provide technical consultation, training, and hands‑on engineering support to software developers and ecosystem partners.
• Interface with Intel engineering teams to resolve driver, runtime, compiler, operating system, middleware, and platform issues affecting customer success.
• Author technical documentation, presentations, whitepapers, and training materials for internal and external stakeholders.
• Contribute technical feedback to Intel software, platform, and architecture teams to help improve future technologies and capabilities.
• Investigate emerging industry trends, APIs, frameworks, and workload patterns to identify new opportunities for Intel platform optimization and ecosystem engagement.
• Support cross‑functional execution across engineering, product, planning, and go‑to‑market activities.

Required Qualifications:

• Master's degree or equivalent in Computer Science, Electrical Engineering, Computer Engineering, or a related scientific or engineering discipline.
• Strong experience in low‑level GPU programming, including compute pipeline development.
• Expert experience with Vulkan API.
• Advanced experience programming in modern C and C++.
• Experience with performance profiling, debugging, and optimization of GPU or heterogeneous applications.
• Solid understanding of CPU and GPU architecture, or related processor and SoC…