3 days ago
Remote, United States +2 moreMid Level
H1B sponsor
Base Salary
$136k - $204k/yr
Responsibilities
- Advise North American customers and partners on data management, machine learning workflows, and model deployment using Edge Impulse.
- Participate in sales and marketing activities, including events, prospect visits, presentations, and demonstrations.
- Collaborate with engineering and account management teams to design machine learning solutions and resolve technical challenges for intelligent devices.
- Develop transformation, processing, training, and deployment code for machine learning models built from large datasets and deployed to resource-constrained devices.
Requirements
- Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field plus 4+ years of relevant experience; alternatively, a master's degree plus 3+ years or a PhD plus 2+ years.
- At least 2 years of experience with a programming language such as C, C++, Java, or Python.
- At least 1 year of experience with debugging techniques.
- Preferred experience includes multidisciplinary technical problem-solving, embedded or cloud software development, Linux or RTOS exposure, and machine learning and data analysis.
- Preferred experience includes Python machine learning and data libraries such as TensorFlow, Keras, PyTorch, NumPy, or Pandas.
- Preferred qualifications include experience launching or maintaining technical products in industrial, medical, automotive, IoT, or related markets, and leading or consulting on technical projects.
Benefits
- U.S.-remote work eligibility.
- Expected travel to clients and events 10–15% of the time.
- Competitive annual discretionary bonus program and potential annual RSU grants.
- Competitive benefits package supporting work, home, and personal well-being.
About Qualcomm
Qualcomm is a public semiconductor company headquartered in San Diego, founded in 1985, that designs and sells wireless chipsets and platforms for mobile devices, automotive, IoT, and networking, notably the Snapdragon application processors and 5G modems. It also licenses a large portfolio of cellular patents to device makers, generating revenue alongside chip sales; its technology underpins many Android smartphones and emerging automotive and edge-compute systems, and it trades on NASDAQ as QCOM.