
Software Engineer, Manufacturing Systems
Primary stack
Nice to have's
Job description
About the Position
Software Engineer, Manufacturing Systems
San Jose, CA
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.
Responsibilities
- Implement improvements to our existing suite of manufacturing software.
- 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.
- Develop user-friendly interfaces and workflows to streamline manufacturing and warehouse operations, and provide key insights.
Requirements
- 4+ years of industry experience.
- Bachelor’s or higher degree in Computer Science, Computer Engineering, or related field.
- Strong proficiency in Python, Typescript, and Linux systems.
- Demonstrable systems design experience.
- Experience scaling PostgreSQL.
- Proven experience deploying and maintaining highly available, reliable, fault-tolerant applications on Kubernetes.
- Strong understanding of best practices in software engineering, including SCM (Git) and TDD (Pytest, Vitest, Playwright).
- Ability to work cross-functionally with developers, manufacturing, infrastructure, and product teams.
Bonus Qualifications
- Previous work in robotics, automotive, or consumer electronics manufacturing.
- Experience managing deployments to Microsoft Azure.
- Experience with Bazel and/or Terraform.
We Offer
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.
© Label Your Data. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.
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