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Tier-1 employer, mid-level ML title, metro location, and broad skillset make hiring highly competitive.
Specialized on-device ML and embedded SoC development limits cross-industry transferability.
Explicit 3–7 years plus embedded, C/C++, SoC and Linux kernel requirements make filters highly strict.
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Develop and commercialize machine learning solutions like Snapdragon Neural Processing Engine (SNPE) SDK on Qualcomm SoCs.
Design, develop, and enhance software features within the ML stack for AI/ML platform enablement.
Maintain expert-level deployment of large software C/C++ dependency stacks employing best practices, keeping pace with industry and academic advancements.
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 2+ years of software engineering experience; OR Master's degree with 1+ year experience; OR PhD in related field.
3-7 years of relevant work experience in software development.
Strong proficiency in C and C++ programming languages.
Experience in embedded systems development or equivalent.
Experienced in embedded systems development with strong OS concepts and system design fundamentals.
Skilled in large-scale software deployment and debugging, demonstrating quality-driven software engineering.
Capable of collaborating effectively within globally distributed, multidisciplinary teams.