Kernel Engineer (AI)

Location: San Francisco, California, United States; on-site

Salary: $150K–$350K per year, plus equity

Company

hirify.global is an early-stage AI infrastructure company building a multi-silicon neocloud for fast and efficient inference across heterogeneous hardware.

What you will do

• Build and optimize kernels that improve latency, throughput, and hardware utilization for production AI workloads.
• Develop execution strategies across established and emerging accelerator architectures.
• Improve memory efficiency, scheduling behavior, and execution characteristics across the inference stack.
• Partner with compiler, runtime, and distributed systems engineers on end-to-end performance optimization.
• Influence the deployment and utilization of heterogeneous hardware in AI infrastructure.
• Establish performance engineering standards for the execution platform.

Requirements

• Strong software engineering fundamentals.
• Experience working on performance-critical systems close to hardware.
• Ability to reason about low-level execution behavior, memory hierarchies, and performance tradeoffs.
• Bachelor's degree in a relevant field, or an equivalent combination of education, training, and professional experience.

Nice to have

• Experience with CUDA, Triton, CUTLASS, or other accelerator programming models.
• Deep understanding of GPU execution models, including warps or wavefronts, blocks, and grids.
• Experience optimizing memory access patterns, occupancy, latency hiding, and instruction-level parallelism.
• Experience with profiling and performance analysis tools.
• Familiarity with multi-GPU or distributed execution.

Culture & Benefits

• Early-stage environment with significant ownership over technical work.
• Direct collaboration with a small group of highly capable engineers.
• Opportunity to shape the systems, culture, standards, and execution platform of the company.
• Equity included in the compensation package.