gpt jobs in San Diego

Design, implement, and optimize real-time embedded modem firmware across protocol layers and drivers while meeting strict latency, memory, and power constraints. You will own end-to-end feature delivery from requirements through on-target bring-up, apply rigorous data-structure and algorithm design, and pioneer AI-native development practices by integrating AI coding agents, LLM-based code review, and automated test synthesis into daily workflows.…See more Debug complex multi-layer issues on target hardware using JTAG, logic analyzers, and AI-assisted log/crash analysis. Mentor peers on embedded fundamentals and AI-native engineering techniques while contributing to design reviews and engineering standards.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for training a multimodal transformer model. You will develop LLM-based agents that generate trustworthy pipeline code, implement automated quality-control workflows, and maintain distributed data pipelines in production.…See more The role requires strong Python engineering, hands-on experience with LLM APIs and agentic patterns, familiarity with biomedical data formats, and data engineering fundamentals including ETL design and validation at scale.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for the Enchant multimodal transformer model. You will develop LLM-based agents that generate reproducible data pipeline code, implement automated quality-control workflows, and maintain distributed pipelines in production.…See more The role combines strong software engineering with scientific understanding of biomedical data formats and ETL design, working at the intersection of LLM automation and data engineering.

Design and build agentic systems that automatically acquire, clean, format, and quality-control large-scale biomedical datasets for training the Enchant multimodal transformer model. You will develop LLM-based agents that generate trustworthy pipeline code, implement automated QC workflows, and maintain distributed data pipelines in production.…See more The role requires strong Python engineering, hands-on experience with LLM APIs and agent patterns, familiarity with biomedical data formats, and data engineering fundamentals including ETL design and validation at scale.

Design, implement, and optimize real-time embedded modem firmware across protocol layers and drivers while meeting strict latency, memory, and power constraints. Pioneer AI-native development practices by integrating AI coding agents, LLM-based code review, and automated test synthesis into daily workflows to accelerate delivery and debugging.…See more Own end-to-end feature delivery from requirements through on-target bring-up, and debug complex multi-layer hardware issues using AI-assisted analysis. Requires deep expertise in modern C/C++, embedded systems (DSP/Arm architectures), RTOS internals, data structures, and hands-on target hardware debugging, combined with practical experience using AI coding assistants and agentic tools.