ML Systems Integration Engineer
Core
Debug complex system-level issues spanning hardware and software interactions for next-generation AI hardware systems.
Role type
Senior IC ML Systems Integration Engineer
Builds
Next-generation AI hardware systems and supporting software infrastructure
Domain
AI hardware / System integration
Deliverable
production ML models
Required skills
Python, C++, Linux development, operating systems fundamentals, computer architecture, debugging, problem-solving, analytical thinking
Preferred skills
automation frameworks, distributed systems, large-scale system debugging, networking fundamentals, hardware-adjacent software, performance analysis, system telemetry, production systems validation
Technologies
Python, C++, Linux
Responsibilities
Participate in bring-up of next-generation AI hardware systems and supporting software infrastructure; Debug complex system-level issues spanning hardware and software interactions; Investigate failures occurring during system bring-up and identify root causes using logs, telemetry, and diagnostic tools; Build automation frameworks and internal tooling that improve system validation and debugging workflows; Develop software used to test, validate, and stress distributed hardware systems during development and production cycles; Collaborate closely with hardware engineers to isolate and resolve system integration issues; Improve system observability by building tools that surface failures quickly and accelerate debugging; Reproduce, triage, and diagnose difficult issues that arise during early hardware deployment; Support validation and qualification of new hardware generations as systems move toward production readiness; Continuously improve internal engineering workflows related to debugging, testing, and automation.
