Senior Software Engineer, ML Build & Release Quality

What you'll do

• Perform daily build qualification and provide recommendations for staging and production environments.
• Own the build pipeline for Large Language Models (LLMs) on Private Cloud Compute.
• Manage model weights across OS release trains and server-side model updates.
• Automate staged rollouts across OS releases and Private Cloud Compute releases.
• Develop test strategies and automation infrastructure for complex distributed systems.
• Lead incident response and conduct postmortems for inference release issues.
• Validate novel compute platforms in collaboration with hardware and platform teams.

What we're looking for

• 10 or more years of experience in release engineering, build infrastructure, and production releases.
• BS in Computer Science or equivalent experience.
• MS or PhD in a relevant field (preferred).
• Expertise with large-scale build systems and C++/Swift/Python toolchains.
• Experience with CI/CD at scale with a focus on cost, cache, and flake reduction.
• Track record of shipping on tight, non-negotiable deadlines tied to OS or hardware launches.
• Experience validating ML or LLM workloads on hardware accelerators like GPUs, NPUs, or Apple Silicon in cloud/datacenter environments (preferred).
• Experience building test infrastructure for hardware-software boundaries, including firmware, drivers, or low-level platform software (preferred).