About the role

Aplyr's Quick Take

This role is for a Data Infrastructure Engineer focused on developing and managing tools for handling robot data at Figure AI. You'll be building and maintaining backend systems, working closely with AI researchers, and managing both on-premise and cloud resources. It's primarily an individual contributor role requiring strong software engineering skills and experience with data systems.

Good fit

Ideal candidates have at least 4 years of experience in backend development, particularly in data infrastructure for large-scale systems. A background in computer science or engineering, along with proficiency in Python and Linux, will help you thrive here.

Worth noting

The position requires full-time in-office work in San Jose, which may be a drawback for remote work seekers. The salary range is quite broad, suggesting flexibility based on experience and skills.

Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and require 5 days/week in-office collaboration. It’s time to build.

Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Data Infrastructure Engineer, to take our AI data infrastructure to the next level. This role is focused on building tools and software components that offload, store, manipulate and provide access to robot data, managing on premise and cloud resources, and providing production support for this infrastructure. The ideal candidate has experience building tools and infrastructure for a large-scale autonomous / deep learning system.

Responsibilities

Design, build, and maintain tools and software components that offload, store, manipulate and provide access to robot data
Architect and manage storage and compute resources across on-premise and cloud environments at a massive scale.
Implement optimal data transmission and storage solutions for all stages of Figure’s data pipeline from recording to neural network training
Work together with AI researchers to support new kinds of data workflows

Requirements

Strong software engineering fundamentals
Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field
Minimum of 4 years of professional, full-time experience building reliable backend systems
Experience with Linux and command line tools
Experience with Python
Experience using and managing data stores (Postgres, MySQL, ElasticSearch, Redis, etc.).

Bonus Qualifications

Experience managing cloud infrastructure (AWS, Azure, GCP)
Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.)
Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.)
Experience building data annotation and dataset management tools.

The US base salary range for this full-time position is between $150,000 - $350,000 annually.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

Skills & Tags

python aws gcp azure kubernetes ai backend data

Aplyr's read

Figure AI is at the forefront of integrating AI into decision-making, attracting talent in engineering and AI development for innovative solutions.
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