Q
Senior Software Engineer, Core AI Software
·Israel
On-siteFull-timeBackend DevelopmentSemiconductor Manufacturing
Join a leading semiconductor company to develop core AI software for next-generation AI runtime SDKs. You will design and implement components that enable efficient execution of generative AI models on low-power accelerators, collaborating with cross-functional teams to deliver robust, scalable solutions.
Responsibilities
- Develop software for AI Stack SDKs, including QAIRT and Genie, to support generative AI models on Snapdragon platforms.
- Design and implement core components of the AI Stack runtime framework for inference on resource-constrained systems.
- Validate, analyze, and optimize software performance and accuracy through detailed 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.
- Lead feature development and application of machine learning techniques into products and AI solutions.
- Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement.
- Participate in design and code reviews.
- Work independently with minimal supervision and provide guidance to junior team members.
Requirements
- Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field.
- 5+ years of general software development experience.
- 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).
Nice to have
- Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering.
- 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 at the connected edge.
- Experience with development in various platforms such as Linux, Android, or Windows.
- Knowledge of low-level interactions between operating systems and hardware.
- Experience with agile software development practices and git-based SCM.
- Ability to collaborate across a globally diverse team and manage multiple interests.