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About the Role
Edge Impulse, now part of Qualcomm, is seeking a Staff Solutions Engineer to work with APAC customers on their data management and machine learning strategies. This role focuses on device-aware machine learning, data onboarding, curation, tuning, and extensibility, enabling enterprises to rapidly develop and launch AI-powered products. You will gain experience across multiple industries, use cases, and technical domains, designing data pipelines and embedded machine learning solutions for next-generation intelligent products.
Responsibilities
- Guide, collaborate, and build relationships with prospective and current customers and partners 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 clients, 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.
Requirements
- 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 software for embedded systems or the cloud (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.
- 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.
- 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.
- 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.
Skills
- Edge AI
- Machine learning
- Data management
- Data pipelines
- Embedded machine learning
- Python
- C/C++
- Linux
- RTOS
- TensorFlow
- Keras
- PyTorch
- NumPy
- Pandas
- Debugging
Location
- APAC region
Work Type
- Full-time
Experience Level
- Staff
- 4+ years
- 3+ years
- 2+ years
- 1+ year
Education Level
- Bachelor's in computer science, data science, computer engineering, or related scientific/technical field
- Master’s degree preferred
About the Company
- Qualcomm CDMA Technologies, Y.K. is a global tech leader that has joined forces with Edge Impulse. 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. Their platform supports customers launching AI-empowered devices globally to solve significant problems with novel high-tech solutions. Edge Impulse is a trusted ML platform for enterprises and developers, used by industrial organizations, health and wearables companies, and top silicon vendors.
Equal Opportunity
- Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.