Field Application Engineer

Outsight’s software solutions track the motion of people and vehicles using 3D LiDAR data.

Operators of transportation hubs like airports and train stations but also sport venues, road infrastructures and industrial sites can now access accurate and anonymous Spatial Intelligence data, in order to improve operations and increase user safety and satisfaction.

Our international team of scientists and engineers drive the development of our solutions from Paris, San Francisco, Sophia-Antipolis (Nice) & Hong Kong. To support our global outreach, we also operate a commercial office in Spain.

Also, you can find below some interesting links about who we are and what we do :

Insights about Outsight

Our Video center showcases some applications of our technology

Position Overview :

Outsight is seeking a Field Application Engineer to join its growing US team. This is a great opportunity to work for a growth company that’s on the forefront of new technologies. 

What will be your responsibilities? 

Serve as the primary technical contact for deploying our IT solutions in public spaces and smart infrastructures

Lead product installations and manage customer feedback, ensuring a seamless experience from start to finish.

Analyze and resolve technical issues, contributing to product improvement.

Ensure customer Satisfaction. Develop and deliver training materials that help customers get the most out of the company's products and services. Deliver onboarding training to new customers to help customers understand and adopt Outsight solutions.

Collaborate with other teams: Work closely with other teams, such as sales, marketing, and product development. Provide valuable input on product features, marketing campaigns, and customer support initiatives, and in particular document Feature Requests (tagged as sales or delivery blockers).

What are the requirements for the role? 

BS in Computer Science, Electrical, Industrial, Automotive Engineering or related field or equivalent experience.

Minimum 3 years working experience in a similar role.

Knowledge of SRE principles and expertise in deploying, monitoring and alerting software solutions.

Working experience with Kubernetes.

Programming experience with Python, or C++Clear understanding of TCP, IP and UDP protocol stack. 

Understanding of network storage (SAN, NAS, iSCSI) and principles and best practices.

Strong analytical and troubleshooting skills.

Strong team player while possessing the autonomy to manage their own workload.

Experience with customer service, technical support, and project management.

Ability to work independently on projects with a “can-do” attitude.

Ability to travel up to 25% of the time.

Preferred Qualifications 

Masters in Computer Science, Electrical, Industrial, Automotive Engineering or related field.

Experience with Lidar technology Experience with observability stack such as Grafana.

Cloud experience with AWS or Azure.

Docker/VM experience.

Why join us?

A fast-growing leader in the burgeoning field of Spatial Intelligence (73 patents filed, many customers all around the world), awarded the Edge AI and Vision Product of the Year and recognized as Market leader by Gartner, among many others.

The opportunity to work in an international start-up on the rise with significant resources and high growth, working with dynamic, experienced and multidisciplinary teams.

A position in which you can grow quickly and express your creativity & potential.

Working with visionary and passionate management.  

Outsight is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Outsighters don't make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Outsight also strives for a healthy and safe workplace, and prohibits harassment of any kind. If you have a disability or special need that requires accommodation, please let us know.