TechNova ยท 17 hours ago
Fleet Support Engineer Intern
Maximize your interview chances
Insider Connection @TechNova
Get 3x more responses when you reach out via email instead of LinkedIn.
Responsibilities
Building an automated workflow to analyze flight performance and categorize failures by cause (hardware, software, network).
Ingesting and integrating data from various sources such as log files, OpenSearch, Toaster, ServiceNow, and our Unified Data Platform (UDP).
Automating initial troubleshooting steps based on historical data and flagging issues for further review.
Creating alerts and visual dashboards to track common failure modes and flag aircraft-specific problems.
Using predictive models to suggest which failure mode is most likely, driving faster and more accurate troubleshooting.
Collaborating with cross-functional teams to ensure data insights are actionable and drive continuous improvement.
Conduct and monitor test flights and inflight customer experience, built reports comparing flights, devices and experience.
Attending team events, training sessions, and meetings to gain a holistic understanding of our operations and build valuable skills.
Qualification
Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.
Required
Eligible candidates must be one of the following: Part-time or full-time students who have completed 24+ credit hours (rising sophomores/juniors/seniors) and are enrolled in an undergraduate program at an accredited college or university; Part-time or full-time students enrolled in a graduate program at an accredited college or university.
May 2025 graduate
Field of study: Electrical Engineering
Ability to exercise sound judgment, professionalism, and maturity in the workplace
Effective communicator in both written and spoken English
Good oral and written communication skills
Proficiency in use of MSOffice Suite
Preferred
Basic experience working with Python and an interest in AI and machine learning workflows.
Demonstrated initiative in personal projects or club activities.
Strong problem-solving skills and a collaborative mindset.
Currently pursuing a degree in engineering, data science, computer science, or aviation.
A positive attitude, curiosity to learn, and willingness to contribute to team efforts.
3.0 GPA or above preferred
Company
TechNova
Welcome to TechNova: Innovating Your Engineering Career At TechNova, we specialize in connecting top engineering talent with cutting-edge opportunities with our partner companies.
Funding
Current Stage
Early StageCompany data provided by crunchbase