Edge Systems Engineering Intern Company Overview At UpCircle Technology AG, we are advancing the recycling industry by providing the material intelligence layer. Our mission is to drive sustainability and efficiency by leveraging cutting‑edge technology to optimize recycling processes and reduce environmental impact.
Job Type 6‑month full‑time
Deadline to Apply July 15th, 2026.
Overview We are seeking talented engineering interns to join our team and actively contribute to the development of innovative solutions for recycling analytics. The ideal candidate will be highly‑motivated, eager to work on an industrial‑edge AI with environmental impact, capable of working autonomously and in small teams, and have a strong desire to solve exciting and challenging applied problems.
You will be working with the UpCircle Station, our industrial‑AI edge system, live inside recycling plants, running 24/7 in environments with dust, vibration, and intermittent connectivity.
We’re looking for an intern to help us harden and scale the UpCircle Station fleet: better reliability, better remote operability, sharper sensor fusion.
Responsibilities
Improve the Station firmware and edge stack (Linux + containers) running in production plants.
Build health monitoring, telemetry, and alerting for the device fleet.
Help design and operate OTA updates for firmware, containers, and ML models.
Work on camera pipelines, including calibration, optimization, and processing tasks.
Integrate solution with existing cloud infrastructure (CI/CD).
Make explicit edge vs. cloud trade-offs (latency, bandwidth, model size, cost).
Travel occasionally to client sites for installations and field debugging.
Requirements & Qualifications
Currently pursuing a Master’s (or graduated within the last year) in robotics, embedded systems, CS, EE, or related field.
Strong Python skills and solid Linux fundamentals.
Hands‑on experience with Dockerized systems.
Understanding of edge‑AI trade‑offs and on‑device inference.
Nice to have
Experience with NVIDIA Jetson development, industrial cameras, OTA / fleet management tools, Prometheus/Grafana/MQTT.
Experience with multi‑object tracking or visual depth estimation, networking in constrained environments.
Prior experience building on ROS2 and networking fundamentals.
Reliability‑first mindset: assume things will fail in the field and instrument accordingly.
What you get
Coaching & tight feedback loops.
Real ownership over what you build.
Work that has a real‑world impact.
Experience working hand‑in‑hand with AI experts.
UpCircle is an equal opportunity employer. We are committed to building an inclusive and diverse team, and do not discriminate based upon race, color, ancestry, national origin, religion, sex, sexual orientation, age, gender identity, gender expression, disability, veteran status, or other legally protected characteristics.
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Job Type 6‑month full‑time
Deadline to Apply July 15th, 2026.
Overview We are seeking talented engineering interns to join our team and actively contribute to the development of innovative solutions for recycling analytics. The ideal candidate will be highly‑motivated, eager to work on an industrial‑edge AI with environmental impact, capable of working autonomously and in small teams, and have a strong desire to solve exciting and challenging applied problems.
You will be working with the UpCircle Station, our industrial‑AI edge system, live inside recycling plants, running 24/7 in environments with dust, vibration, and intermittent connectivity.
We’re looking for an intern to help us harden and scale the UpCircle Station fleet: better reliability, better remote operability, sharper sensor fusion.
Responsibilities
Improve the Station firmware and edge stack (Linux + containers) running in production plants.
Build health monitoring, telemetry, and alerting for the device fleet.
Help design and operate OTA updates for firmware, containers, and ML models.
Work on camera pipelines, including calibration, optimization, and processing tasks.
Integrate solution with existing cloud infrastructure (CI/CD).
Make explicit edge vs. cloud trade-offs (latency, bandwidth, model size, cost).
Travel occasionally to client sites for installations and field debugging.
Requirements & Qualifications
Currently pursuing a Master’s (or graduated within the last year) in robotics, embedded systems, CS, EE, or related field.
Strong Python skills and solid Linux fundamentals.
Hands‑on experience with Dockerized systems.
Understanding of edge‑AI trade‑offs and on‑device inference.
Nice to have
Experience with NVIDIA Jetson development, industrial cameras, OTA / fleet management tools, Prometheus/Grafana/MQTT.
Experience with multi‑object tracking or visual depth estimation, networking in constrained environments.
Prior experience building on ROS2 and networking fundamentals.
Reliability‑first mindset: assume things will fail in the field and instrument accordingly.
What you get
Coaching & tight feedback loops.
Real ownership over what you build.
Work that has a real‑world impact.
Experience working hand‑in‑hand with AI experts.
UpCircle is an equal opportunity employer. We are committed to building an inclusive and diverse team, and do not discriminate based upon race, color, ancestry, national origin, religion, sex, sexual orientation, age, gender identity, gender expression, disability, veteran status, or other legally protected characteristics.
#J-18808-Ljbffr
