Intel
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 Architect & Ecosystem Enthusiast
Location: Munich, Germany (with remote flexibility in France, Paris / Ireland, Leixlip / Israel, Haifa / UK, Great Britain) Team: The Software Team (Intel’s AI, graphics, and platform innovation group) Job Type: Experienced Hire Posting Statement: [Equity, diversity, and inclusion notice]
About the Role
Explore a unique Software Engineering opportunity where GPU architecture expertise, software-hardware co-design, and ecosystem enablement converge to shape the future of Intel client graphics. You’ll collaborate with software vendors, ISVs, open-source communities, and Intel’s engineering teams to:
- Optimise Vulkan-based workloads across Windows, Linux, and ChromeOS.
- Drive adoption of Intelligence-integrated Graphics (IIG) solutions for content creation, AI/ML acceleration, media, productivity, and commercial applications.
- Balance CPU, GPU, and NPU execution paths while ensuring seamless integrations.
- Influence future platforms, architectures, and technologies via direct feedback to Intel’s engineering, software, and product teams.
This role blends deep technical innovation with strategic partnership development, offering a rare intersection of engineering excellence and ecosystem impact.
Responsibilities
You’ll lead the design, development, and optimisation of GPU software solutions with the following key deliverables:
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Technical Development & Optimization
- Analyze, prototype, and debug GPU compute software (e.g., shaders, toolchains, runtime optimisations).
- Benchmark, profile, and optimise performance on Intel platforms vs. competitors (Windows/Linux/ChromeOS).
- Develop proof-of-concept (PoC) workloads to validate and demonstrate hardware capabilities.
- Engage in Vulkan-based compute development (including compute shaders, SPIR-V optimisations).
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Ecosystem Partnerships & Collaboration
- Partner with ISVs (Independent Software Vendors), open-source communities, and hardware OEMs to refine software-enablement strategies.
- Resolve-scape technical pain points with hardware, driver, runtime, and OS layers (e.g., DirectX, OpenGL interoperability).
- Provide technical consulting, training, and debugging support for external and internal teams.
- Present findings in technical documentation, whitepapers, and stakeholder workshops.
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Strategic Influence & Future-Proofing
- Adopt emerging AI/ML workloads, NPU offloads, and heterogeneous compute Patterns (SYCL, OpenCL, CUDA-like models).
- Contribute to Intel’s roadmap, advocating for enhancements based on real-world testing.
- Stay ahead of trends by validating new APIs, frameworks, and hardware innovations.
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Cross-Functional Execution
- Lead end-to-end software lifecycles—from definition to launch—collaborating with planning, marketing, and field teams.
- Act as a analyst for Intel’s platform strategy, bridging hardware and software decision-making.
Qualifications
Required Competencies
- Educational Background: Master’s degree or equivalent in Computer Science, Electrical/Computer Engineering, or a related discipline.
- Technical Depth:
- Proficiency in low-level GPU programming (compute pipelines, memory hierarchies, thread scheduling).
- Deep Vulkan expertise (validation layers, extension development, API awareness).
- Advanced knowledge of modern C++17/20, and GPU-specific optimisations (thread divergence, warps, SIMT).
- Experience with performance debugging (GPU profiling, VTune™, RenderDoc) and application-level tuning.
- Familiarity with CPU/GPU/SiP architectures (e.g., x86, Arm, NPU-compute interactions).
- Software Mastery:
- Hands-on OS experience in Windows®, Linux, and ChromeOS (.NET, glibc/CLI toolchains relevant).
- Solid working knowledge of compilers, linkers, and toolchain Integrations.
- Soft Skills:
- Strong problem-solving, cognitive flexibility, and effective cross-team collaboration.
- Fluent English (written and spoken; presentations, mentorship, and decision-making).
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Preferred Plus Factors
- Ph.D. in Computer Science or related fields.
- Heterogeneous programming lore: SYCL, OpenCL, CUDA, oneAPI being a plus.
- AI/ML acceleration: MLOps, LLM workflows, or roofline model familiarity.
- Vendor experience: Direct support for media editing tools (Adobe Suite), CAD, or cloud platforms (AWS GPU kernels, etc.).
- Tools & Toolchains: Mastery of Intel’s VTune™, RenderDoc, oneAPI, or comparable solutions.
- Languages: Mandarin, German, or additional languages in a big global team context.
Benefits
Reigns among the best in the industry, Intel’s compensation and work model includes:
- Annual Salary Range (Germany-performing): €72,030 – €130,300 (subject to qualification and role adaptation).
- Hybrid benefit: Split your week between Intel’s Munich labs and remote work, aligned with global growth.
- Intel Software Team scope: Direct impact on AI PC, GPU IP, NPU roadmaps, and holistic SW architecture.
Next Steps
Prove your dedication to GPU engineering at the intersection of software and architecture. Applications are reviewed as they arrive—join teams driving AI-powered GPUs across innovation’s frontiers.
(Intel’s commitment to diversity and inclusion drives us to welcome applicants from all backgroundest e!)
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