Member of Technical Staff — Inference-TPU
- Salary
- $200,000 - $400,000
- Level
- Staff
- Work type
- On-site · Palo Alto
Not stated in the posting: visa.
Open. First seen 22 October 2026.
About the role
About the Role
RadixArk is looking for a Member of Technical Staff — TPU Systems to build high-performance inference and training systems using JAX, XLA, and Pallas. 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.
Requirements
- 3+ years experience building production ML systems utilizing JAX/Torch, XLA, or TPU-focused frameworks.
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or equivalent industry experience
- Deep understanding of XLA internals preferred: HLO, MLIR, operator fusion, SPMD partitioning, and sharding strategies.
- 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.
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
RadixArk's standard text
About RadixArk
RadixArk is an infrastructure-first company built by engineers who've shipped production AI systems, created SGLang (30K+ GitHub stars, the fastest open LLM serving engine), and developed Miles (our large-scale RL framework). Founded by AI infrastructure veterans from xAI and NVIDIA, we're on a mission to democratize frontier-level AI infrastructure by building world-class open systems for inference and training. 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 AI companies and research labs.
Compensation
Depending on background, skills, and experience, the expected annual salary range for this position is $200,000 - $400,000 USD + equity.
Equal Opportunity
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.
What this role asks for
In most of RadixArk's ads
GitHub · LLM · Python
Named in most of its open postings, whatever the role.
77% of this description is written for the role. The rest is RadixArk's standard text, folded away below.
Compared with RadixArk's other open jobs.
The team: Member of Technical Staff HIRES STEADILY
This role is one of 14 open in Member of Technical Staff. 1 was posted in the last 30 days and the oldest in December: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
LLM (14 of 14), GitHub (13 of 14), Python (11 of 14), C++ (8 of 14), CUDA (8 of 14), Golang (4 of 14), Machine Learning (4 of 14)
OTHER ROLES ON THIS TEAM
- Member of Technical Staff — Backend/API Platform posted Oct 21
- Member of Technical Staff — Security posted Sep 18
- Member of Technical Staff — Inference-Multi-Hardware posted Aug 3
- Member of Technical Staff — Developer Experience posted Jul 23
- Member of Technical Staff — Developer Technology posted Jul 23
- Member of Technical Staff — Performance posted May 17
- Member of Technical Staff — Product posted May 7
- Member of Technical Staff — Reliability-CI Infrastructure posted Apr 20
- Member of Technical Staff — Inference-Kernel, Compiler & Communication posted Feb 17
- Member of Technical Staff — Training posted Feb 17
- Member of Technical Staff — Inference-Multimodal & Diffusion posted Feb 17
- Member of Technical Staff — Inference-Core Engine posted Feb 17
- Member of Technical Staff — Cluster Infrastructure & Supercomputing posted Feb 17
From the team and dates on RadixArk's own job board.
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