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CosmicBrain AI’s mission is to create AI systems and simulations that can accurately train robots and industries.
Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity.
We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important.
All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.
Tech Stack
Python
JAX
Rust
Spark
Location
The role is based in the Bay Area [San Francisco]. Candidates are expected to be located near the Bay Area or open to relocation.
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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.
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.
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