Cluster-Scale AI Systems Engineer

The Consensus; San Jose (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Housing subsidy

Relocation support

Daily meals

Unlimited compute budget

Job summary

Etched is building at-scale AI systems that will unlock faster, more efficient inference. We are seeking an Engineer to join the Supercomputing team to help develop the core software powering cluster-scale AI compute deployments, including control-plane components, bring-up, telemetry, and performance tuning at the hardware–software boundary.

This role emphasizes C/C++ or Rust, Linux internals, and close collaboration with hardware/firmware/kernel/runtime teams to optimize cross-domain

Qualifications

• Strong proficiency in C/C++ or Rust for low-level systems programming.
• Deep understanding of Linux internals, kernel/user-space boundaries, and system-level debugging.
• Experience working close to hardware: drivers, DMA, interrupts, memory management, or device control paths.
• Strong debugging skills using logs, tracing, and low-level observability tools.
• Strong communication skills and comfort collaborating across hardware and software teams.

Responsibilities

• Architect and implement low-level control-plane software responsible for system bring-up, configuration, and management of cluster-scale AI compute deployments.
• Build system services that interact directly with hardware, firmware, and the operating system.
• Develop telemetry, logging, and tracing infrastructure for diagnosing failures and driving performance improvements.
• Implement orchestration primitives for managing devices, nodes, and racks.
• Profile and tune performance across PCIe, memory, networking, kernel, and runtime layers.
• Collaborate closely with hardware, firmware, kernel, and runtime teams to co-design system interfaces and behavior.

Skills

C/C++

Rust

Linux internals

System debugging

Communication

Tools

Kubernetes

Docker

Job description

Etched is building at-scale AI systems that will unlock faster, more efficient inference. We are seeking an Engineer to join the Supercomputing team to help develop the core software powering cluster-scale AI compute deployments, including control-plane components, bring-up, telemetry, and performance tuning at the hardware–software boundary.

This role emphasizes C/C++ or Rust, Linux internals, and close collaboration with hardware/firmware/kernel/runtime teams to optimize cross-domain