Posted today
Pay
USD 160,000–250,000 a year
From the description
Location
San Jose, CA
On site
Skills this role screens for
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Still studying?Paid software internships in the United States open nowAbout the role
Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.
We are looking for a Full Stack Software Engineer to write, troubleshoot, and maintain our in-house digital manufacturing software, encompassing MES, WMS, PLM, QMS, and more.
The work
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Implement improvements to our existing suite of manufacturing software.
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Spend time on the manufacturing floor understanding and responding to key pain points, gathering user stories, and increasing test coverage to catch downstream issues and improve the usability of the software.
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Develop user-friendly interfaces and workflows to streamline manufacturing and warehouse operations, and provide key insights.
Who they want
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4+ years of industry experience.
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Bachelor’s or higher degree in Computer Science, Computer Engineering, or related field.
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Strong proficiency in Python, Typescript, and Linux systems.
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Demonstrable systems design experience.
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Experience scaling PostgreSQL.
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Proven experience deploying and maintaining highly available, reliable, fault tolerant applications on Kubernetes.
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Strong understanding of best practices in software engineering, including SCM (Git) and TDD (Pytest, Vitest, Playwright).
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Ability to work cross-functionally with developers, manufacturing, infrastructure, and product teams.
Nice to have
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Previous work in robotics, automotive, or consumer electronics manufacturing.
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Experience managing deployments to Microsoft Azure.
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Experience with Bazel and/or Terraform.
The US base salary range for this full-time position is $160,000 to $250,000 per year.
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.
From Figure AI's own careers system (Greenhouse).
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