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Qualcomm Incorporate Pre-Sales Solution Engineer in Boulder, Colorado

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.

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. You may e-mail disability-accomodations@qualcomm.com{rel="noopener noreferrer" target="blank"} or call Qualcomm's toll-free number found here{rel="noopener noreferrer" target="blank"}. 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. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or appli ations from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.

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