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About the Role

This technical pre-sales engineering opportunity works with APAC 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. Gain experience working across multiple industries, use cases, and technical domains.

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.

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 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.
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
RTOSs
Data analysis
TensorFlow
Keras
PyTorch
NumPy
Pandas
Debugging

Location

APAC

Work Type

Full-time

Experience Level

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

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 Qualcommʼs 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.
Powerful automations make it easier to build valuable datasets and develop advanced AI for edge devices from MCUs to CPUs to NPUs & GPUs.
The ease of use and versatility that Edge Impulse provides supports customers launching AI-empowered devices globally to solve the planet's biggest problems with novel high-tech solutions.
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.

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, rest assured that Qualcomm is committed to providing an accessible process.
Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.
Qualcomm is also committed to making our workplace accessible for individuals with disabilities.
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