Solution Engineer, Staff

Primary Responsibilities Guide and collaborate with prospective and current customers and partners throughout North America as a trusted technical advisor to design and optimize their data management, machine learning workflow, and model deployment with Edge Impulse. Contribute to sales and 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 automation, automotive, digital health, and more. Develop transformation, processing, training, and deployment code to create machine learning models from large datasets and deploy to resource-constrained devices.

This position is eligible to work remotely in the U.S. This position requires the ability to travel to clients and events 10-15% of the time. #EdgeImpulse Minimum Qualifications: Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Applications Engineering, Software Development experience, or related work experience. OR Master’s degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Applications Engineering, Software Development experience, or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience. 2+ years of experience with Programming Language such as C, C++, Java, Python, etc. 1+ year of experience with debugging techniques. Preferred Qualifications: Track record of multi-disciplinary problem solving and working across domains, teams, and companies in the US and NA region 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 and machine learning, including Python ML and 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 organizations. Fostering a growth mindset with a demonstrated history of learning, adapting, improving, and growing individually, as a team, and with your customers.