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Full-Stack Software Engineer

  • Austin, TX, United States

Base salary: $130,000 to $200,000 annually.

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Job details

Pay
Base salary: $130,000 to $200,000 annually.
Posting language
English
Posted

Original job description

ABOUT THE ROLE

Join an early-stage engineering team building software for autonomous CNC manufacturing. You will own systems end to end, working closely with shop-floor users to improve factory operations and support expansion across multiple sites.

WHAT YOU'LL DO

  • Build factory ERP capabilities for inventory management, material tracking, and part flow.
  • Develop software that collects low-latency data from CNC machines and sends instructions back to them.
  • Create quality management systems to track and improve part quality with micron-level accuracy.
  • Work directly with machinists to gather feedback and rapidly improve their daily software tools.
  • Design systems that can be replicated across multiple factory locations.

WHAT WE'RE LOOKING FOR

  • Two to seven years of full-stack software engineering experience, including strong Python and Django skills.
  • Strong computer science fundamentals and a record of independently shipping products in fast-paced startup or technology environments.
  • Experience solving ambiguous problems and incorporating direct feedback from end users.
  • Working knowledge of machine learning, including model fine-tuning.
  • Experience with AWS, Kubernetes, computer vision, CAD/CAM, robotics, or IoT and sensor integration is valuable.
  • Factory, ERP, industrial, or hardware-adjacent software experience is useful.
  • Must be eligible to work on ITAR-controlled projects as a U.S. citizen or lawful permanent resident. U.S. citizenship is also specified as a requirement.

COMPENSATION & BENEFITS

Base salary: $130,000 to $200,000 annually. Visa sponsorship is not available.

LOCATION

On-site in Austin, Texas, United States.

More about this job

Skills

  • Team building
  • CNC
  • ERP
  • Inventory management
  • Quality assurance procedures
  • Python
  • Django
  • Computer science
  • Machine learning
  • AWS
  • Kubernetes
  • Robotics

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