What are the responsibilities and job description for the Hardcore Engineer - Pre-training Infrastructure position at xAI?
Tech Stack
- Python / Rust / C
- JAX and XLA
- NCCL
- CUDA (C and Triton)
Location
The role is based in the Bay Area [San Francisco and Palo Alto]. Candidates are expected to be located near the Bay Area or open to relocation.
Focus
- Design, build, and implement large-scale distributed training systems.
- Profiling, debugging, and optimizing multi-host GPU utilization.
- Hardware / Software / Algorithm co-design.
- Maintain and innovate on the codebase.
- Build tools to boost the productivity of the team.
Ideal Experiences
- Experience in configuring and troubleshooting operating systems for maximum performance.
- Built scalable training framework for AI models in HPC clusters, including but not limited to
- Scalable orchestration framework and tools
- Machine learning compilers and runtime such as XLA, MLIR, and Triton
- Distributed training strategies such as FSDP, Megatron, and pipeline parallelism
- NCCL or custom communication libraries for performant communication collectives
Interview Process
After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15-minute interview (“phone interview”) during which a member of our team will ask some basic questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews:
- Coding assessment in a language of your choice.
- Systems hands-on: Demonstrate practical skills in a live problem-solving session.
- Project deep-dive: Present your past exceptional work to a small audience.
- Meet and greet with the wider team.
Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet.
Annual Salary Range
$180,000 - $440,000 USD
Salary : $180,000 - $440,000
