Intern: Software Engineer, Data Infrastructure
About The Position
Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core. Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics. Role As a Software Engineer Intern on the Data Infrastructure team, you will be responsible for designing, building, and maintaining the next generation of our monitoring systems. You will research, evaluate, and prototype new cloud-based technologies to efficiently monitor and troubleshoot our robot fleet and platform, by integrating with Kubernetes based cloud and on-device services. You will collaborate with a passionate Product and Engineering team creating software that enables fleets of robots to be built better. How your work moves the mission forward Research and evaluate next-generation monitoring technologies to handle high-cardinality data, moving beyond our current legacy tools. Design and prototype a scalable foundation for cloud metric collection and graphing, ensuring our observability stack grows with our robot fleet. Build the architectural "skeleton" for a new telemetry system that enables deeper visibility into robot health and performance. Collaborate with the Data Infrastructure team to benchmark new solutions against existing baselines for speed, storage, and efficiency.
Requirements
- Master’s student in Computer Science or related field required.
- Proficiency in Golang or C++, with a strong foundation in software engineering principles.
- Experience or interest in creating end-to-end robotics applications or have built/integrated robotic hardware (i.e. workcells) in industry.
- Experience with cloud platforms (e.g., AWS, GCP, Azure), particularly focusing on Kubernetes deployments and distributed systems.
- Excellent communication and collaboration skills.
Nice To Haves
- Experience with distributed metric collection systems (e.g., Prometheus, VictoriaMetrics, Thanos) or time-series database architecture.
Responsibilities
- Research and evaluate next-generation monitoring technologies to handle high-cardinality data, moving beyond our current legacy tools.
- Design and prototype a scalable foundation for cloud metric collection and graphing, ensuring our observability stack grows with our robot fleet.
- Build the architectural "skeleton" for a new telemetry system that enables deeper visibility into robot health and performance.
- Collaborate with the Data Infrastructure team to benchmark new solutions against existing baselines for speed, storage, and efficiency.
Benefits
- In addition to the salary range below, this full-time position is eligible for bonus + equity + benefits.
- Your recruiter will share more about the specific salary range + bonus + equity for your targeted location and role during the hiring process.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
