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Intrinsic

Software Engineer, Data Infrastructure

Mountain View, California$180k–$197kfull-timemidAdded today

About this role

Join Intrinsic's Data Infrastructure team to design and build scalable systems that collect, process, and manage robotics data at scale. You'll develop distributed ingestion pipelines, debugging tools, and telemetry infrastructure that powers AI-driven industrial robotics, working across cloud platforms and Kubernetes-based services.

What you'll do

  • Design and develop scalable infrastructure for collecting, processing, and storing large volumes of robotics sensor data and telemetry
  • Build developer tools and debugging systems for robotics applications
  • Create telemetry pipelines and services to monitor and validate real-time robot operations
  • Implement data security, privacy, and compliance best practices across infrastructure
  • Collaborate with customers, product managers, and researchers to customize data pipelines for analysis
  • Maintain and evolve distributed systems that interface with robotics runtimes

What they're looking for

  • Production-level C++, Go, or advanced Python (concurrency, performance optimization, architecture)
  • Cloud platforms (AWS, GCP, Azure) and their data services
  • Distributed systems design and architecture
  • Docker and Kubernetes containerization
  • Data governance and compliance practices
  • Software engineering fundamentals (4+ years experience)
  • Systems thinking and performance optimization
  • Robotics systems familiarity

Benefits

  • 15% performance bonus
  • Equity compensation
  • Comprehensive benefits package
  • Equal opportunity workplace
  • Accommodation for disabilities and special needs
  • Work on cutting-edge AI robotics technology
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Intrinsic

Intrinsic builds AI-powered software platforms that simplify the operation and deployment of industrial robots across manufacturing. The company is hiring software engineers, robotics specialists, frontend developers, and solutions architects to develop data infrastructure, manipulation algorithms, control interfaces, and backend systems that enable broader adoption of robotic automation.

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Likely interview questions

  • Describe a distributed data pipeline you've built—what challenges did you face with scale and reliability?
  • How would you design an ingestion system to handle high-volume sensor data from thousands of robots in the field?