- Location
- San Diego, CA,US, US
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Education
- PhD
- Source
- Eightfold
Description
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ 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 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Strong Software Engineering/Development skills combined with a solid foundation in AI and general ML techniques. Proven hands-on experience evaluating and optimizing Generative AI workflows for accuracy, performance, and other key metrics. Prior experience with ML model optimization frameworks and a familiarity with applying techniques such as quantization, pruning etc. Knowledge of neural networks, with hands-on experience using ML frameworks such as PyTorch, ONNX etc. Strong Python design and implementation skills. Strong general analytical and debugging skills. Prior experience working in agile environments. Prior experience in collaborating with multi-disciplinary teams across time zones. Strong leadership skills as a mentor, team player, communicator and presenter. Experience deploying GenAI LLM/LVM models on edge devices. Prior experience with model quantization, profiling and running models on edge devices. Prior experience with frameworks like Huggingface Optimum, ONNX runtime and OpenVino. Proven hands-on experience establishing a high-quality software delivery process using industry best-practices (code review, CI/CD, automation, etc.) is a plus. Work in a dynamic research environment, Be part of a multi-disciplinary team of researchers and software engineers who work with cutting edge AI frameworks and tools. Architect, design, develop and test model optimization techniques that include - but are not limited to - graph optimization, pruning and quantization.
