[Hiring] Solutions Engineer @Qualcomm

Role Description

This technical pre-sales engineering opportunity works with our customers to build and optimize their data management and machine learning strategy. Focus on device-aware machine learning, data onboarding, curation, tuning, and extensibility. Edge Impulse empowers enterprise development teams to rapidly research & develop industry-specific Edge AI solutions and launch successful AI-powered products.

• 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.
• Develop transformation, processing, training, and deployment code to create machine learning models from large datasets and deploy to resource-constrained devices.

Qualifications

• Bachelor's in computer science, data science, computer engineering, or related scientific/technical field
• Master’s degree preferred

Requirements

• 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 Skills and Experience

• 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.