Staff Engineer leading a product team at Beamery, a transformational AI platform in HR technology. Designing scalable software and providing technical mentorship in a hybrid role.
About the role
- AI Software Development Engineer optimizing AI inference workloads including Large Language Models on Intel GPUs. Involves graph compilation, runtime execution, and kernel optimization.
Responsibilities
- Optimize emerging AI inference workloads such as Large Language Models (LLMs) and Diffusion models on GPUs
- Develop and optimize graph-based compilation flows (e.g., MLIR/LLVM) for neural network workloads
- Write and tune performance-critical GPU kernels and runtime code in C++ or parallel programming languages
- Identify and resolve bottlenecks across compiler, runtime, and kernel layers
- Profile, benchmark, and characterize AI workloads to validate performance gains
- Collaborate with hardware, driver, and framework teams on hardware/software co-optimization
Requirements
- Bachelor's degree with 4+ years of relevant experience, OR Master's degree with 2+ years of relevant experience in Computer Science or a related field
- Strong C++ development and debugging skills
- Solid understanding of GPU architectures or AI accelerators
- Hands-on experience with modern neural network architecture for inference on hardware accelerators
- Preferred: PhD and 1+ years of relevant experience
- Familiarity with OpenVINO or other AI inference frameworks
- Knowledge of neural network optimization techniques and performance tradeoffs
- Experience across multiple layers of the AI software stack, including AI inference engines or runtimes, graph compilers (e.g., MLIR/LLVM), GPU kernels or performance critical compute code
- Performance profiling and workload analysis
Benefits
- Competitive pay
- Stock bonuses
- Health insurance
- Retirement
- Vacation
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