Software Enabling and Optimization Engineer – GPU Compute (Vulkan / Cross-OS) (f/m/d)
소프트웨어 엔지니어정규직미드 · 경력 무관
인텔에서 GPU 컴퓨팅 소프트웨어 엔지니어를 채용합니다. Vulkan API 및 C/C++ 기반의 고성능 GPU 최적화 업무를 수행하며, 윈도우, 리눅스, 크롬OS 환경에서 파트너사와 협업합니다. GPU 아키텍처에 대한 깊은 이해와 성능 프로파일링 역량이 필수입니다. 글로벌 생태계 내에서 인텔 그래픽 기술의 성능을 극대화하는 핵심적인 역할을 맡게 됩니다.
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:
Experienced Hire
Shift 1 (Germany)
Germany, Munich
France, Paris, Ireland, Leixlip, Israel, Haifa, United Kingdom, Great Britain
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.
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.
N/A
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.
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.