Software Engineer (AI Infrastructure / Training / Inference)

We are hiring Software Engineers focused on AI Infrastructure to build the systems that enable frontier multimodal AI to operate reliably at production scale. This role exists because modern generative and vision models require infrastructure beyond traditional backend engineering — including GPU orchestration, large-scale inference systems, performance optimization, and developer platforms that allow applied scientists to move fast without sacrificing reliability or cost efficiency.

You will work on:

• Scalable model serving and inference pipelines.
• Distributed GPU infrastructure.
• Performance and cost optimization.
• Reliability, observability, and production readiness.

You will operate at the boundary between systems engineering and machine learning — building the “paved roads” that allow advanced AI systems to scale safely and efficiently.

• Design and build scalable infrastructure supporting training and inference workflows.
• Develop high-performance APIs and backend services for AI model serving.