Principal Software Engineer

Owning real-world production outcomes with high autonomy

Leading through technical judgment, clear communication, and example

Diagnosing problems across models, software, infrastructure, hardware, and data

Knowing when to build a platform versus a focused solution; balancing short- and long-term velocity and risk

Deep expertise in either computer vision and deep learning or production systems and infrastructure

Passion for learning new things; happy working across different parts of the stack and wearing different hats

Demonstrated success building substantial technical systems alongside multiple engineers

A track record of making sound architectural decisions and evolving complex systems pragmatically

Significant recent experience designing systems, writing production code, and debugging difficult cross-system failures

Strong communication skills, particularly when framing technical decisions and tradeoffs

You have led engineers across both machine learning and infrastructure

You have experience with GPU systems, distributed systems, Kubernetes, AWS, MLOps, or production computer vision

You have hired or managed engineers while remaining deeply technical

You have significant open-source contributions, publications, or other public work demonstrating your impact in the field