Pre-sales Solutions Engineer, Japan
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Key skills for this role
About the Role
Qualcomm's Edge Impulse division seeks a Pre-sales Solutions Engineer for the APAC region to guide customers in building and optimizing data management and machine learning strategies for edge devices.
Key Skills for This Role
Responsibilities
- Guide and collaborate with prospective customers throughout the APAC region 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
- Develop transformation, processing, training, and deployment code to create machine learning models from large datasets and deploy to resource constrained devices
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 + 3 years, or PhD + 2 years)
- 2+ years of experience with Programming Language such as C, C++, Java, Python, etc.
- 1+ year of experience with debugging techniques
- 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)
- Track record of multi disciplinary problem solving and working across domains, teams, and companies in the APAC region
- Experience developing, launching, or maintaining technical products in relevant commercial industries (e.g., industrial, medical, automotive, IoT)
Full Job Posting
General Summary
- Edge Impulse has joined forces with the Industrial Embedded IoT division of Qualcomm, and we are growing our team because Edge AI is an important part of Qualcomm’s diversification roadmap.
- Edge Impulse streamlines the creation of AI and machine learning models for edge hardware, enabling devices to make decisions and generate insight where data is gathered.
- Used by industrial organizations, health and wearables companies, as well as top silicon vendors, Edge Impulse has become the trusted ML platform for enterprises and developers alike.
Primary Responsibilities
- Guide and collaborate with prospective customers throughout the APAC region 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 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.
Preferred Skills And Experience
- Track record of multi disciplinary problem solving and working across domains, teams, and companies in the APAC 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 & 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 organizations.
- Fostering a growth mindset with a demonstrated history of learning, adapting, improving, and growing individually, as a team, and with your customers.
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+
- 2+ years of experience with Programming Language such as C, C++, Java, Python, etc.
- 1+ year of experience with debugging techniques.
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