Une candidature complète en une minute
Un CV et une lettre de motivation personnalisés, prêts à envoyer.
ASME in Corning, NY is seeking a Staff Scientist or Senior Staff Scientist in Precision Mechanical / Optomechanical Systems to advance optical connectivity solutions for AI and HPC. This role blends hands-on design with technical leadership across teams to move complex hardware from concept to manufacturing.
You will lead design of precision components, perform tolerance analysis, and mentor engineers while collaborating with research, development, and manufacturing partners at Sullivan Park.
Corning is hiring a Staff Scientist or Senior Staff Scientist – Precision Mechanical / Optomechanical Systems to join its Science & Technology organization at Sullivan Park in Corning, New York. As Corning’s flagship R&D campus, Sullivan Park is where scientists and engineers turn breakthrough ideas into the advanced materials, optical technologies, and hardware innovations that shape the future. This role is open at multiple levels, with level and compensation determined based on the selected candidate’s education, experience, technical depth, and demonstrated leadership.
In this role, you will help develop optical connectivity solutions for AI and high-performance computing, designing the precision components and assemblies that enable advanced optical hardware to be aligned, integrated, and manufactured reliably. This is a highly visible opportunity for a technical leader with deep expertise in precision mechanical systems, ideally with experience in optomechanics or similarly demanding hardware environments, who can apply strong engineering judgment to solve difficult technical challenges and help move next-generation technologies from concept to reality.
Ability to work effectively across multidisciplinary technical teams
Strong communication and technical problem-solving skills
The range for this position is $100,206.00 - $153,885.00 assuming full-time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education.