Hardcore Engineer – Multimodal Infrastructure
Job Description
Job Detail
- Design, build, and implement large-scale distributed training systems
- Profiling, debugging, and optimizing GPU utilization for multimodal model training and inference
- Building scalable infrastructure for multimodal data management and crawling
- Hardware / Software / Algorithm co-design
- 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 for model training/serving optimization
- Keeping up with state-of-the-art techniques for preparing multimodal training data
- Location The role is based in the Bay Area [Palo Alto and San Francisco]
- Candidates are expected to be located near the Bay Area or open to relocation
- Tech Stack Python
- Jax / PyTorch
- Spark / Ray
- RustInterview 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: One-on-one engineering discussion & coding interviews (three meetings total)
- Project deep-dive: Present your past exceptional work and your vision with xAI to a small audience
- Every application is reviewed by a member of our technical team
- All interviews will be conducted via Google Meet
- Annual Salary Range $180,000 – $440,000 USDBenefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks
- xAI is an equal opportunity employer
