Rust Jobs for Rustaceans

Key Responsibilities:

• 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.
• Experience working on NVIDIA tools like omniverse, IssacSim or Unreal and Unity engines are a plus.

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.