Position Justification
With the increasing integration of AI/ML technologies in analytical instruments, this position is crucial for developing new products that leverage these advancements. The role bridges market demands, technological feasibility, and product development, supporting CIC's mission to deliver advanced technology research and systems design.
Job Description:
As a Staff Engineer specializing in AI/ML Systems Design, you will lead the application of AI/ML and generative AI technologies in the development of complex scientific and industrial instruments and related software. You will conduct technical feasibility studies, design AI/ML application systems, perform testing, and execute Root Cause Analysis (RCA) for new technologies and product development.
Responsibilities:
Develop technical concepts, propose critical module requirement, manage technical risks, create test plans and protocols, conduct hands-on testing, and troubleshoot issues.
Serve as a domain expert in AI/ML applications by optimizing, deploying, and integrating AI/ML algorithms and Scientific Large Language Models (SLLMs) for both analytical instrument development and R&D activities.
Work with product management and marketing for Voice of Customer (VOC) feedback, and propose, plan, and execute technology and product roadmaps.
Collaborate with cross-functional teams to ensure timely delivery of research, feasibility studies, and new product launches.
Mentor and develop junior and senior engineers.
Minimum Qualifications:
BS in Science or Engineering with 12+ years, MS with 9+ years, or PhD with 6+ years of industry experience in AI/ML development and application.
Strong systems experience in new product development involving multiple disciplines (EE, SW, ME, optics, DVV, Manufacturing).
Familiarity with modern R&D methodologies and tools such as Model Based Design (MBD), Measurement System Analysis (MSA), Design of Experiment (DOE), Design Failure Mode and Effects Analysis (DFMEA), Root Cause Analysis (RCA), and AI/ML frameworks (TensorFlow, PyTorch, etc.).
Workable English communication skills, both oral and written.
Ability to work independently and lead other engineers.
Preferred Qualifications:
Experience in developing AI/ML applications for analytical instruments.
Expertise in generative AI models and their applications in industrial and scientific domains.