Senior Solutions Engineer
Skills
Cloud ComputingComputer EngineeringComputer ScienceData SciencePresalesPresentationsProduct Demonstration
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Track record of multi-disciplinary problem solving and working across domains teams and companies to develop complex technical solutions
- Experience developing embedded or cloud software (python C/C++ or equivalent) with exposure to Linux or RTOSs
- Experience with data analysis & machine learning including Python ML & data libraries (e.g. TensorFlow Keras PyTorch NumPy Pandas or equivalent)
- Experience developing launching or maintaining technical products in relevant commercial industries (e.g. industrial medical automotive IoT or related markets)
- Track record of teaming leading and consulting to drive ambitious technical projects to success in lean distributed remote organizations
- Fostering a growth mindset with a demonstrated history of learning adapting improving and growing individually as a team and with your customers.
Day to day
- Guide and collaborate with prospective customers as a trusted technical advisor to design and optimize their data management machine learning workflow and model deployment with Edge Impulse
- Contribute to sales & marketing activities by participating in events visiting prospects and performing presentations and demonstrations
- Work with engineering and account management teams to envision machine learning solutions and solve technical challenges for intelligent devices in industries such as industrial productivity digital health and more