Job Area:
Engineering Group, Engineering Group > Software Applications Engineering
General Summary:
This technical pre-sales engineering opportunity works with our North American 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.
Are you excited about Edge AI? Want to design data pipelines and embedded machine learning solutions for next-generation intelligent products & devices going to market? This is an opportunity to gain experience working across multiple industries, use cases, and technical domains. If this sounds like your next career move, then we want to talk with you.
Primary Responsibilities
• Guide and collaborate with prospective customers 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 & 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.
#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 & 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 & 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.
Pay range and Other Compensation & Benefits:
$130,400.00 - $195,600.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.