Radixark

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

Palo Alto, CA · Staff+ · Full-time

Sponsorship not specifiedDetected 8 hours ago

PythonGitAWSMachine LearningLLMsMLOpsSystems EngineeringElectrical EngineeringResearch

About the role

You'll push model workloads to their limits on TPU hardware, working on SGLang-JAX and other critical infrastructure that enables efficient deployment of frontier models on Google's tensor processing units.

Build high-performance inference and training systems using JAX/XLA/Pallas, including SGLang-JAX
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
Our team has optimized kernels serving billions of tokens daily, designed distributed training systems coordinating 10,000+ GPUs, and contributed to infrastructure that powers leading Al companies and research labs.
We're backed by well-known infrastructure investors and partner with NVIDIA, Google,AWS,and frontier Al labs.
Join us in building infrastructure that givees real leverage back to the Al community.

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or equivalent industry experience

Strong performance tuning instincts across compiler and runtime layers
Experience with distributed inference systems (e.g. SGLang, vLLM) or training frameworks (e.g. Miles, Alpa, Pathways)
Proficiency in Python with demonstrated ability to write high-performance, production-quality code
Experience writing custom GPU/TPU/AI Accelerator kernels.
Familiarity with Pallas for kernel development is strongly preferred.
Deep understanding of XLA internals preferred: HLO, MLIR, operator fusion, SPMD partitioning, and sharding strategies.

We offer competitive compensation with meaningful equity, comprehensive benefits, and flexible work arrangements. Compensation depends on location, experience, and level

We're on a mission to democratize frontier-level Al infrastructure by building world-class open systems for inference and training.

RadixArk is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Equal Opportunity

t opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more

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