GPU Compute & MLIR Compiler Engineer — AI Workloads
Bangaloreonsitemid
Posted 11mo ago · via Eightfold
About this role
Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: We are looking for a highly skilled GPU compute, MLIR compiler, and kernel optimization engineer with deep expertise in GPU compute, MLIR-based code generation, and end-to-end performance optimization for AI workloads. In this role, you will design, optimize, and deploy high-performance GPU compute kernels, build and extend MLIR compiler backends, and collaborate closely with ML, runtime, and hardware teams to push the limits of performance on modern GPU architectures. Key Responsibilities Develop and optimize GPU compute kernels targeting OpenCL and Vulkan compute backends for high-throughput AI/ML workloads.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: c++, rest, teams
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
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4
Recency
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5
Location fit
This role is based in Bangalore. We weight your proximity and willingness to relocate.
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Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
c++restteams
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