Staff Engineer, AI Software Embedded Engineer
Technology, Data & Digital · Software & Web Development · Software Engineering · Embedded Systems · Machine Learning
In short
Qualcomm is looking for an experienced AI Software Embedded Engineer to join their team in Hod Hasharon. This role involves developing and implementing advanced AI techniques, including generative AI models and LLMs, on Qualcomm's AI accelerators and Snapdragon platforms. The position requires strong C/C++ and Linux development skills, with a focus on optimizing runtime efficiency and performance for resource-constrained systems.
Responsibilities
- Develop real-time software for Qualcomm AI DSPs to support generative AI models on Snapdragon platforms.
- Develop and implement core components of Qualcomm AI Stack runtime framework for inference on resource-constrained AI systems.
- Validate, analyze, and optimize the performance and accuracy of software through testing of machine learning use cases.
- Debug complex issues, perform root cause analysis, and ensure high system reliability.
- Collaborate with cross-functional teams to deliver robust, scalable AI software solutions.
- Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement.
- Participate in design and code reviews.
- Work in a global environment and collaborate across AI teams.
Requirements
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
- 7+ years of general software development experience or 4+ years of related work experience on AI DSP systems.
- Proficiency in software development using C/C++.
- Experience with development in a Linux environment.
- Strong software development skills, including data structure and algorithm design, object-oriented or other software design paradigms, software debugging, and testing.
- Excellent communication skills (verbal, presentation, and writing).
Desired Qualifications
- 3+ years of experience building embedded software applications.
- Familiarity with various generative AI model architectures such as LLMs.
- Strong understanding of hardware acceleration and deployment of generative AI inference on edge devices.
- Experience with development in various platforms such as Linux, Android, or Windows.
- Experience with agile software development practices and git-based SCM.
- Ability to collaborate across a globally diverse team and manage multiple interests.
Benefits
- Qualcomm is committed to providing an accessible process for individuals with disabilities.
- Qualcomm is committed to making our workplace accessible for individuals with disabilities.
- Qualcomm is an equal opportunity employer.
#AI#Software Engineering#Embedded Systems#Machine Learning#Generative AI