- Location
- San Diego, CA,US, US
- Type
- Full-time
- Department
- Engineering
- Education
- PhD
- Source
- Eightfold
Description
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. 2+ years (Senior) / 5+ years (Staff) 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). Master's degree in Computer Science, Computer Engineering, or Electrical Engineering. 1+ years (Senior) / 3+ years (Staff) of experience building embedded software applications. 1+ years (Senior) / 3+ years (Staff) of software development experience with Python. Experience in using and developing AI solutions in one or more of these frameworks: Tensorflow, JAX, TFLite, LiteRT, PyTorch, ExecuTorch, ONNX Runtime 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 (e.g., Linux, Android, Windows) and hardware. Experience with CMake-based build environments. Experience with agile software development practices and git-based SCM. Ability to collaborate across a globally diverse team and manage multiple interests. Validate, analyze, and optimize the performance and accuracy of software 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 or assist in feature development and application of machine learning techniques into products and AI solutions, enabling customers to do the same. Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team. Participate in design and code reviews. Work independently with minimal supervision; Staff Engineers provide guidance to junior team members and make decisions impacting their area and the broader work group.
