Member of Technical Staff — TPU Systems (JAX / XLA / PALLAS)

RadixArk is an infrastructure-first company focused on building high-performance AI systems. The TPU Systems Engineer will work on developing and optimizing inference and training systems using JAX, XLA, and Pallas, ensuring efficient deployment of models on TPU hardware.

Responsibilities:

• Build high-performance inference and training systems using JAX/XLA/Pallas, including SGLang-JAX
• Push large-model workloads to the limits on the newest TPU hardwares
• Optimize end-to-end latency and throughput for LLM serving on TPU infrastructure
• Design and implement SPMD strategies for efficient distributed inference and training
• Design and implement Pallas kernels for operations that require customized low level control for best performance
• Profile and optimize XLA compilation pipelines and HLO graph transformations
• Collaborate with kernel engineers and compiler teams to achieve performance wins across the stack
• Contribute to open-source projects with TPU optimization guides, benchmarks, and architectural insights