What are the responsibilities and job description for the Software Engineer - Data Infrastructure (Pretraining Data) position at xAI?
Tech Stack
- Python
- JAX
- Rust
- Spark
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
- Building petabyte-scale, high-throughput data processing systems.
- Managing workloads across large cloud compute clusters.
- Pre-processing datasets for AI training.
Ideal Experiences
- Strong engineering skills with passion to improve different aspects of data and model.
- Has worked on one or more modalities other than text and demonstrated exceptional work.
- Building bespoke data processing libraries from scratch.
- Designing and implementing distributed systems in Rust.
- Keeping up with state-of-the-art techniques for preparing AI training data.
- Organizing and meticulously bookkeeping data across multiple clouds, of multiple modalities, and from many sources.
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.
We don’t rely on recruiters for assessments. All interviews will be conducted via Google Meet.
Annual Salary Range
$180,000 - $440,000 USD
Salary : $180,000 - $440,000
