GPU Consultant - Remote
Role details
Job location
Tech stack
Job description
The role combines low-level systems programming with open source collaboration. You will work alongside experienced graphics engineers, develop genuine expertise in how modern GPUs work from the kernel up, and grow into a contributor that the broader open source graphics community knows by name.
Location: Fully remote
Travel: Optional conference attendanc What we're looking forRequired
-Vulkan - solid understanding of the core spec; command buffers, render passes, synchronisation, memory management and pipelines. Familiarity with Vulkan validation layers and debugging workflow
-Basic understanding of GPU hardware concepts - queues, tilers vs IMR, memory hierarchies
-Linux kernel basics - comfortable reading and navigating kernel code
-DRM fundamentals - GEM/buffer management, dma-buf/prime buffer sharing, fence and sync objects, GPU job submission paths
-Mesa architecture awareness - Gallium, driver structure
-Basic understanding of how userspace drivers interact with kernel
-C and C++ - comfortable with pointer arithmetic, memory management, kernel-style coding Nice to have
-Git - mailing list patch workflow (not just GitHub PRs)
-Comfortable reading specs and documentation independently
-Not afraid of large unfamiliar codebases
-Open source contribution mindset - code review, public communication, upstream first
-Existing Mesa or kernel patch history
-Experience with a specific GPU family (ARM/AMD/Intel)
-Python for tooling/scripting
-Rust programming skills
-Understanding of KMS fundamentals or Wayland clients
Requirements
Vulkan - solid understanding of the core spec; command buffers, render passes, synchronisation, memory management and pipelines. Familiarity with Vulkan validation layers and debugging workflow
-Basic understanding of GPU hardware concepts - queues, tilers vs IMR, memory hierarchies
-Linux kernel basics - comfortable reading and navigating kernel code
-DRM fundamentals - GEM/buffer management, dma-buf/prime buffer sharing, fence and sync objects, GPU job submission paths
-Mesa architecture awareness - Gallium, driver structure
-Basic understanding of how userspace drivers interact with kernel
-C and C++ - comfortable with pointer arithmetic, memory management, kernel-style coding Nice to have
-Git - mailing list patch workflow (not just GitHub PRs)
-Comfortable reading specs and documentation independently
-Not afraid of large unfamiliar codebases
-Open source contribution mindset - code review, public communication, upstream first
-Existing Mesa or kernel patch history
-Experience with a specific GPU family (ARM/AMD/Intel)
-Python for tooling/scripting
-Rust programming skills
-Understanding of KMS fundamentals or Wayland clients