The Role
Investigate complex failures in autonomous drone-in-a-box systems by analyzing logs and source code, reproducing issues through experiments, assessing safety and availability impacts, and recommending fixes, workarounds, and mitigations. The role bridges support and engineering, requiring clear communication of evidence, uncertainty, reproduction steps, and operational guidance. Work is fully on-site in Zurich.
Summary Generated by Built In
We are looking for a robotics diagnostics engineer who enjoys getting to the bottom of complex system issues. You will investigate unexpected behaviour in our autonomous drone-in-a-box system, combining log and code analysis with hands-on experiments on engineering systems and bench setups. Bridging support and engineering, you will turn field reports into clear explanations, actionable fix recommendations and practical mitigations.
### Responsibilities
* Own investigations into system issues from new bug reports through to actionable findings, working with support to capture symptoms, operating conditions and relevant logs
* Analyze logs and source code, develop hypotheses, and reproduce and isolate failures through targeted tests on engineering systems and bench setups
* Assess issue severity with engineering, considering safety impact, system availability, affected versions and conditions, and uncertainty; escalate critical findings promptly
* Give engineering clear evidence, reproduction steps and recommendations for fixes, and help verify that proposed changes address the underlying issue
* Recommend and validate workarounds and mitigations with engineering, and give support clear guidance on their use, limitations and operational implications
### Qualifications
* Experience investigating complex software failures using logs, source code and systematic root-cause analysis
* A practical approach to reproducing intermittent issues and designing experiments on engineering systems, bench setups or simulators
* Clear written and verbal communication: you can explain evidence, uncertainty, safety and availability impact, and recommended next steps to engineering and support
* Curiosity, persistence and ownership when tackling unfamiliar problems
* A degree in computer science, robotics or related field, or equivalent practical experience
### Bonus Points
* Experience with drones, robotics and embedded software is a plus
100% · On-site
This position is for an on-site employee for our Zurich office.
### Responsibilities
* Own investigations into system issues from new bug reports through to actionable findings, working with support to capture symptoms, operating conditions and relevant logs
* Analyze logs and source code, develop hypotheses, and reproduce and isolate failures through targeted tests on engineering systems and bench setups
* Assess issue severity with engineering, considering safety impact, system availability, affected versions and conditions, and uncertainty; escalate critical findings promptly
* Give engineering clear evidence, reproduction steps and recommendations for fixes, and help verify that proposed changes address the underlying issue
* Recommend and validate workarounds and mitigations with engineering, and give support clear guidance on their use, limitations and operational implications
### Qualifications
* Experience investigating complex software failures using logs, source code and systematic root-cause analysis
* A practical approach to reproducing intermittent issues and designing experiments on engineering systems, bench setups or simulators
* Clear written and verbal communication: you can explain evidence, uncertainty, safety and availability impact, and recommended next steps to engineering and support
* Curiosity, persistence and ownership when tackling unfamiliar problems
* A degree in computer science, robotics or related field, or equivalent practical experience
### Bonus Points
* Experience with drones, robotics and embedded software is a plus
100% · On-site
This position is for an on-site employee for our Zurich office.
Skills Required
- Experience investigating complex software failures using logs, source code, and systematic root-cause analysis
- Practical experience reproducing intermittent issues and designing experiments on engineering systems, bench setups, or simulators
- Clear written and verbal communication, including explaining evidence, uncertainty, safety and availability impacts, and recommended next steps
- Curiosity, persistence, and ownership when tackling unfamiliar problems
- Degree in computer science, robotics, or a related field, or equivalent practical experience
- Experience with drones, robotics, and embedded software
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The Company
What We Do
Sunflower Labs provides a fully autonomous, AI-powered drone security system called the Beehive. The system utilizes thermal imaging and real-time threat detection to protect commercial, industrial, and residential properties, offering a scalable and cost-effective alternative to traditional physical patrols by integrating precision hardware with intelligent software.
