The curriculum is expected to begin with a review of C++ fundamentals tailored for scientific computing, including safe and efficient memory management in C++. Subsequent modules should cover advanced C++ features relevant to high-performance computing, software development best practices including version control and testing, and essential debugging and profiling techniques. A significant portion of the course should be dedicated to performance optimization strategies at both code and system levels. A foundational introduction to computer architecture, focusing on the memory hierarchy and its impact on software performance, is crucial. 

The course will include a module on Python for scientific scripting, data analysis, and potentially GPU programming using libraries like NumPy, SciPy, and PyCUDA. Students should also learn how to properly interface C/C++ with Python using, for example, FFI or ctypes. 

Given the growing importance of Rust, an optional module could introduce its core concepts and potential applications in scientific computing, focusing on areas where it offers distinct advantages. Other recent programming languages and topics may be considered based on the interests of the applicant and the academic needs of the program. 

Applicants should submit a cover letter, curriculum vitae, teaching statement (1 page), and at least 2 letters of recommendation addressing their teaching and/or administrative abilities. Candidates are requested to ask references to send their letters directly to the search committee via this form. All candidates must hold a Master's degree or higher in computational mathematics and engineering or a closely related discipline.

The expected pay range for this position is $5,720.00 to $6,200 per month. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. 

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University’s research, teaching, and clinical missions. 

Visa sponsorship is not available for this position. All candidates must be eligible to work in the U.S.