Kernels SME - AI Infrastructure

Hamilton Barnes Associates Limited; United States; On-site; USD 212,500 - 287,500; Full time

Benefits offered by this job

Full Benefits

Job summary

Hamilton Barnes Associates Limited is seeking a kernel engineer to optimize Apple Silicon workloads on enterprise-scale infrastructure. You will push kernel-level performance, develop compute kernels for AI workloads, and resolve bottlenecks at the hardware-software boundary.

Join a small, high-trust team and own the kernel layer end to end, working deep inside the hardware to maximize throughput. The role offers strong growth opportunities and a compensation package aligned with senior

Qualifications

• Strong background in kernel engineering and low-level software development.
• Experience optimizing compute workloads on specialized hardware; Apple Silicon experience is a strong plus.
• Familiarity with GPU/NPU compute models and unified memory architectures.
• Ability to read hardware documentation and use profiling/micro-benchmarking tools.
• Nice to have: ML infrastructure, HPC, or compiler/runtime engineering experience.

Responsibilities

• Optimize kernel-level execution for Apple Silicon and maximize performance.
• Develop and tune compute kernels for AI and agentic workloads across infrastructure.
• Identify and resolve performance bottlenecks at the hardware-software boundary.
• Collaborate with networking and runtime engineers to optimize end-to-end execution across chips.

Skills

Kernel engineering

Apple Silicon

GPU/NPU compute

Close-to-metal

ML infra/HPC

Job description

Looking for a role with plenty of growth opportunities?

Join a company delivering managed Apple Silicon infrastructure for enterprise-scale agentic AI workloads. With more than 10,000 Apple Silicon instances deployed across multiple configurations, the platform provides managed infrastructure with full system access, consistent performance, reliable operations, and enterprise-grade SLAs.

Responsibilities:

• Optimize kernel-level execution for Apple Silicon, squeezing maximum performance from the underlying hardware
• Develop and tune compute kernels for AI and agentic workloads across our infrastructure
• Identify and resolve performance bottlenecks at the hardware-software boundary
• Collaborate with networking and runtime engineers to ensure execution is optimized end-to-end across chips

Skills/Must Have:

• Strong background in kernel engineering, low-level systems programming, or hardware-aware software development
• Experience optimizing compute workloads on specialized hardware, Apple Silicon experience is a significant advantage
• Familiarity with GPU/NPU compute models, unified memory architectures, or similar
• Ability to work close to the metal, comfortable reading hardware documentation, profiling tools, and micro-benchmarking
• Nice to have: experience in ML infrastructure, HPC, or compiler/runtime engineering

Benefits:

• Full Benefits
• Own the kernel layer end to end, defining how work executes on the hardware.
• Work with Apple Silicon at a depth rarely found in commercial environments.
• Join a small, high-trust team where your work directly shapes a platform built for frontier AI workloads.

Salary:

• $250,000 Base Salary