Collaborate with peers and stakeholders through design and code reviews to establish and maintain best practices in software development
Drive the short-term technical vision and roadmap for your team, evolving strategies to meet future requirements and infrastructure needs
Minimum qualifications
Bachelor’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field and 5 years of progressive post-baccalaureate experience in the job offered or in a Software Engineer-related occupation.
Alternatively, will accept a Master’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field, and 3 years of experience in the job offered or in a Software Engineer-related occupation.
Position requires 3 years of experience in the following: Algorithm design and data structure selection for system scalability; Software design and systems architecture for performance and reliability; Apply large language multimodal models to solve real world problems including system design, post-training, evaluation, and optimization; Software testing across the development lifecycle including validity, verification, performance, and reliability; and Root cause analysis for debugging software and ML systems.
Bachelor’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field and 5 years of progressive post-baccalaureate experience in the job offered or in a Software Engineer-related occupation.
Alternatively, will accept a Master’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field, and 3 years of experience in the job offered or in a Software Engineer-related occupation.
Position requires 3 years of experience in the following: Algorithm design and data structure selection for system scalability; Software design and systems architecture for performance and reliability; Apply large language multimodal models to solve real world problems including system design, post-training, evaluation, and optimization; Software testing across the development lifecycle including validity, verification, performance, and reliability; and Root cause analysis for debugging software and ML systems.