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.
Essential Duties and Responsibilities
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 architectures.
- Working knowledge of Windows, Linux, and ChromeOS software environments.
- Strong problem-solving, communication, and collaboration skills.
- Self-motivated, independent, and able to work effectively across organizational boundaries.
- Excellent verbal and written English communication skills.
Preferred Qualifications
- Ph.D. in Computer Science, Electrical Engineering, or a related field.
- Experience with heterogeneous programming models such as SYCL, OpenCL, CUDA, or similar compute APIs.
- Familiarity with AI/ML acceleration, media processing, or compute-offload workflows on CPU, GPU, and NPU architectures.
- Experience with shader programming, SPIR-V, GPU runtimes, compiler toolchains, or driver interactions.
- Experience with Intel software and performance tools such as Renderdoc, VTune™, oneAPI tools, or related toolchains.
- Experience with additional APIs or frameworks such as OpenGL, DirectX, Metal, or other graphics and compute interfaces.
- Experience with software benchmarking, validation, regression analysis, and performance triage.
- Experience working with external software partners, customers, or open-source communities.
- Strong presentation skills and the ability to communicate effectively with highly technical audiences.
- Additional language skills are a plus.
Job Type:Experienced HireShift:Shift 1 (Germany)Primary Location: Germany, MunichAdditional Locations:France, Paris, Ireland, Leixlip, Israel, Haifa, United Kingdom, Great BritainBusiness group:The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.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.Position of TrustN/A
EU Salary
We offer a total compensation package that ranks among the best in the industry.
Annual Salary Range for this job which could be performed in Germany is: 72 030,00 € - €130,300.00 The compensation range displayed in this posting reflects the minimum and maximum target compensation for this position. Within this range, individual pay is determined by job related skills, experience, and relevant education, training. As part of our total compensation approach, the final offer may include additional pay components and benefits. Your recruiting team will share the confirmed base salary along with any applicable total compensation elements upon employment offer delivery.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.*
Skills Required
- Master's degree or equivalent in Computer Science, Electrical Engineering, Computer Engineering, or related 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 architectures.
- Working knowledge of Windows, Linux, and ChromeOS software environments.
- Strong problem-solving, communication, and collaboration skills.
- Self-motivated and able to work effectively across organizational boundaries.
- Excellent verbal and written English communication skills.
- Ph.D. in Computer Science, Electrical Engineering, or related field.
- Experience with heterogeneous programming models such as SYCL, OpenCL, CUDA, or similar compute APIs.
- Familiarity with AI/ML acceleration, media processing, or compute-offload workflows on CPU, GPU, and NPU architectures.
- Experience with shader programming, SPIR-V, GPU runtimes, compiler toolchains, or driver interactions.
- Experience with Intel software and performance tools such as Renderdoc, VTune, oneAPI tools, or related toolchains.
- Experience with additional APIs or frameworks such as OpenGL, DirectX, Metal, or other graphics and compute interfaces.
- Experience with software benchmarking, validation, regression analysis, and performance triage.
- Experience working with external software partners, customers, or open-source communities.
- Strong presentation skills and ability to communicate with highly technical audiences.
Intel Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Intel and has not been reviewed or approved by Intel.
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Parental & Family Support — Family-building and caregiving supports are extensive, including fertility coverage, adoption assistance, paid parental leave, childcare and elder care resources, and a structured reintegration for new parents. These benefits are positioned as best-in-class elements of the package.
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Leave & Time Off Breadth — Time off includes generous PTO, a paid sabbatical after extended tenure, and multiple leave types such as family, medical, bereavement, and military. This breadth enables employees to disconnect, recharge, and manage life events.
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Retirement Support — Long-term savings are bolstered by a competitive 401(k) match and access to deferred compensation for eligible levels, alongside stock purchase opportunities. These programs are highlighted as strong tools for financial security.
Intel Insights
What We Do
Our mission is to shape the future of technology to help create a better future for the entire world, that’s the power of Intel Inside. With more ingenuity and creativity inside, our work is at the heart of countless innovations. From major breakthroughs to things that make everyday life better— they’re all powered by Intel technology. With a career at Intel, you can help make the future more wonderful for everyone.
