European Tech Recruit
Principal GPU Driver & System Engineer
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Principal GPU Driver & System Engineer
European Tech Recruit are working closely with a leading fabless semiconductor company, based in Cambourne, who are looking for a talented Principal GPU Driver & System Engineer to join their team.
Responsibilities as Principal GPU Driver & System Engineer:
- Architect, develop, and optimize features for industry-standard APIs including Vulkan, DirectX, OpenGL ES, and OpenCL.
- Work deep in kernel-mode drivers and GPU firmware to improve hardware control, stability, scheduling, memory management, and execution efficiency.
- Identify, analyze, and eliminate bottlenecks across the stack — including driver overhead, memory bandwidth, GPU scheduling, compute throughput, and power/performance tradeoffs.
- Partner closely with Architecture, Micro-architecture, Compiler, and GPU Model teams to influence next-generation GPU design and ensure the software stack fully leverages the hardware.
- Lead complex debug efforts, guide design decisions, mentor engineers, and help raise the technical bar across the GPU driver team.
- You are not restricted to only the API layer, kernel driver, firmware, or performance. You can work across the entire GPU software stack.
- Your software insights will directly influence next-generation GPU architecture and micro-architecture.
- Your contributions will help turn silicon capability into real-world graphics, compute, and AI performance.
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Required:
- Experience of building GPU drivers, graphics systems, or low-level systems software.
- You are fluent in C/C++ and comfortable working close to hardware.
- You have deep expertise in one or more industry-standard APIs such as Vulkan, DirectX 12, OpenCL, or OpenGL ES.
- You understand GPU internals at a deep level, including memory hierarchies, command submission, scheduling, synchronization, pipeline architecture, and performance bottlenecks.
- You enjoy working across boundaries — from API design to kernel drivers, firmware, compiler interaction, and hardware architecture.
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Preferred Qualifications:
- Background in GPU performance analysis, firmware, virtualization, compiler, or runtime optimization for GPUs or accelerators.
- Familiarity with ML/AI workloads, DNN operators and their mapping onto GPU or accelerator architectures.
- Experience collaborating with architects, micro-architects, compiler, and model teams.
If this role is of any interest please apply directly on LinkedIn or send a copy of your CV to nh@eu-recruit.com.
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