Runtime 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 seeks a Runtime SME to design and lead systems that schedule and manage workloads across Apple Silicon chips. You will own the runtime layer, optimize dynamic resource management, and collaborate with networking and kernel teams to ensure tight integration across the stack.

This role emphasizes building scalable infrastructure for enterprise AI workloads with a focus on efficiency and reliability.

Qualifications

• Experience building or working on runtime systems, schedulers, or orchestration layers.
• Strong understanding of concurrent and distributed systems.
• Familiarity with hardware-aware scheduling, resource management, or compute orchestration.
• Nice to have: experience with AI infrastructure, ML frameworks, or cloud compute environments.

Responsibilities

• Build and own the runtime layer responsible for scheduling workloads across multiple Apple Silicon chips.
• Design systems for managing compute resources dynamically, handling concurrency, prioritisation, and fault tolerance.
• Ensure efficient utilisation of hardware resources across the full stack.
• Work with the networking and kernels teams to ensure the runtime integrates tightly with the layers above and below it.

Skills

Runtime systems

Concurrency

Hardware scheduling

AI infrastructure

Job description

Keen to join a company that champions growth and development?

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.

This company is looking for a Runtime SME to design and lead the systems responsible for scheduling and managing workloads across its chips. This role will focus on the core runtime layer that connects the platform and maximizes the efficiency and performance of the underlying hardware.

Responsibilities:

• Build and own the runtime layer responsible for scheduling workloads across multiple Apple Silicon chips
• Design systems for managing compute resources dynamically, handling concurrency, prioritisation, and fault tolerance
• Ensure efficient utilisation of hardware resources across the full stack
• Work with the networking and kernels teams to ensure the runtime integrates tightly with the layers above and below it

Skills/Must Have:

• Experience building or working on runtime systems, schedulers, or orchestration layers
• Strong understanding of concurrent and distributed systems
• Familiarity with hardware-aware scheduling, resource management, or compute orchestration
• Nice to have: experience with AI infrastructure, ML frameworks, or cloud compute environments

Benefits:

• Full Benefits
• Build and own the runtime layer from the ground up, with full ownership of its design and evolution.
• Shape how AI workloads are scheduled and managed at scale on novel hardware.
• Work alongside networking and kernel engineers to solve foundational infrastructure challenges for frontier AI.

Salary:

• $250,000 Base Salary