Helix AI Engineer, Data Infrastructure
Figure · San Jose, CA
Posted about 3 months ago · $150,000 - $400,000
or apply directly on Figure's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Figure's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- Yes 60% of Figure's roles list one
- Ghost-job risk at Figure
- high 112 stale, 2 reposted of 112 open
- Hiring momentum
- 152 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Figure's own greenhouse board since 2026-08-03. Full hiring picture for Figure.
About this role
As a Helix AI Engineer focused on Data Infrastructure, you will design and maintain tools and software components that manage robot data, ensuring efficient storage and access. You will work with both on-premise and cloud resources, collaborating with AI researchers to enhance data workflows and optimize the data pipeline for neural network training.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Figure as an employer.
What you need
- 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.)
Nice to have
- 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.
What you get
- The US base salary range for this full-time position is between $150,000 - $400,000 annually.
- The total compensation package may also include additional components/benefits depending on the specific role.
Worth weighing
- Requires 5 days/week in-office collaboration in San Jose, CA.
- Salary range is broad, and actual pay may vary based on individual factors.
- Focus on building tools for a large-scale autonomous/deep learning system may suggest a complex and evolving tech stack.
Summarised from Figure's posting. Read the full original.
Listed by Figure on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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