Intel Corporation
Software Enabling and Optimization Engineer – GPU Compute (Vulkan / Cross-OS) (f/m/d)
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Software Enabling and Optimization Engineer – GPU Compute (Vulkan / Cross-OS) (f/m/d)
Software Engineering - GPU Software Architect & Ecosystem Enablement (Vulkan, Windows/Linux/ChromeOS)
About the Role
A unique demand-driven opportunity combining advanced GPU software engineering, cross-disciplinary architectural influence, and innovative ecosystem engagement to deliver leading-edge solutions on Intel Graphics architectures. This role demands domain expertise, strategic collaboration with vendors, open-source communities, and internal teams to optimize GPU workloads across laptops, desktops, and workstations, with a primary focus on Vulkan-based compute.
The ideal candidate will driven by innovation—designing, optimizing, prototyping, and deploying software solutions leveraging Intel GPU capabilities while fostering adoption through strategic partnerships. Work spans AI/ML acceleration, media production, productivity tools, and heterogeneous compute optimizations, evolving as market demands and Intel priorities shift.
Technically, you’ll bridge software development from rethinking use cases to performance optimization, while engaging with ISVs, OSS communities, and Intel engineering to resolve complex technical challenges.
Key Responsibilities
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Software Architect & Optimizer
- Analyze, design, develop, debug, and optimize GPU compute software across multiple platforms.
- Develop prototypes, PoCs, and experiments using Vulkan-based compute stacks.
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Ecosystem & Strategic Partnerships
- Align software-enablement activities with Intel’s overall architecture vision.
- Optimize ISV workloads for Intel’s platforms (Windows, Linux, ChromeOS).
- Deploy technical excellence in workload characterization, profiling, benchmarking, and performance tuning.
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Cross-functional Collaboration
- Collaborate with ISVs, OEMs, open-source communities, and Intel interal teams (engineering, product, tech teams) to solve complex compute日 warmer tech FFG. address driver, runtime, and platform issues.
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Software & Knowledge Leadership
- Provide technical consultation, training sessions, and hands-on developer support.
- Author technical reports, whitepapers, and education materials for internal/external audiences.
- Drive future adjAvatar prying: T’s evolution by providing collaboration feedback to Intel’s platform and software engineering teams.
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Innovation & Trend Watching
- Investigate emerging GPU APIs, frameworks, and mixed-SIMD applications.
- Identify opportunities for Intel platforms to enhance adoption and performance.
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Execution & Go-To-Market Support
- Contribute to full-specters product: drive cross-functional execution in engineering, software, and channel collaboration.
Essential Qualifications
Technical & Educational
- Master’s degree or equivalent in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
- Deep expertise in low-level GPU programming (Vulkan API mastery is critical).
- Advanced C and C++ development skills.
- Experience with performance profiling, debugging, and optimization for heterogeneous (CPU+GPU) workloads.
- Comprehensive knowledge of GPU and CPU architecture cores, along with SoC ecosystems.
- Familiarity with Windows, Linux, and ChromeOS software development.
- Proven ability in Vulkan-based workloads with hardware-level optimizations.
Cultural & Behavioural Fit
- Self-motivated problem-solver with strong collaborative skills to bridge multi-disciplinary teams.
- Exceptional communication skills (both verbal and written) to engage technical stakeholders and partners.
- Independent yet team-driven mindset, able to work across organizational silos.
- Curiosity-first attitude, comfortable aligning between software requirements and technology vision.
Preferred Qualifications
Technical
- Ph.D. in Computer Science, Electrical Engineering, or related engineering discipline.
- Experience with heterogeneous compute standards (SYCL, OpenCL, CUDA, or similar frameworks).
- Knowledge of AI/ML acceleration (TensorFlow, PyTorch), NPU offload, and media processing pipelines.
- Experience with shader programming (SPIR-V toolchain optimizations), graphics drivers, and runtime compiler pipelines.
- Proven expertise with Intel GPU/CPU tools (RenderDoc, VTune, oneAPI, Intel Threading Building Blocks).
- Hands-on exposure to graphics APIs (OpenGL, DirectX, Metal, OpenXR).
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Workplace & Induction
- Experience engaging open-source communities and external ISVs.
- Track record of technical presentations, consulting, and mentoring.
- Multilingual skill set is a bonus.
Role Details
Location & Work Arrangement
- Primary HQ: Intel Munich, Germany (other key locations include Paris, Lixlip, Haifa, UK)
- Hybrid Model: Flexible office/remote setup aligning with Intel’s hybrid policy.
Remuneration & Perks
- A ultrative, competitive total compensation structure (60–70k/year parent compensation for Germany).
- Hybrid work arrangements alongside a prestigious job offer with self-driven autonomy.
- Supported by central AI leadership: Intel’s Software & AI team drive strategies for accelerators, NPUs, and cross-platform solutions.
- Full benefits including health insurance, hybrid work bonuses, training programs, and VitaLab opportunities.
Diversity & Fairness
Intel is an equal opportunity employer and forbids discrimination based on race, ancestry, color, ethnicity, religion, gender, sexual orientation, gender identity/expression, age, nationality, veteran, or disability status. Position is not part of a position of trust.
Begin Your Journey
Explore all careers at Intel’s careers website and shape the future of AI PCs, GPU architectures, and heterogeneous compute solutions.
For a deep dive into initiatives, stay abreast of Intel United, open-source graphics, and AI strategy—but first, apply now to drive next-generation compute software.
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