We support students, graduates and alumni of Speed School, and employers interested in hiring Speed engineers for co-op, intern, part-time and full-time positions.
CAREER SUCCESS AND INDUSTRY ENGAGEMENT
Your gateway to cooperative education, international experiences and professional development.
Career Services creates a partnership that helps you explore career options, prepare for cooperative education and full-time jobs, network with employers and design your career! Whether it’s a co-op opportunity, interviewing for a job, or a career-related workshop, we offer lots of career-related programs and services to help you make the most of your job search.
Our office helps current students and alumni develop the skills necessary to make informed career decisions and plan next steps in order to achieve their career goals. The Career Development Office establishes connections and facilitates interaction among undergraduate, graduate, alumni and employers that help generate opportunities both domestically and globally so students can pursue their professional goals.
Career Services assists engineering students and alumni with career planning, job search strategies, cooperative education, and post-graduation employment. Career Services empowers current engineering students and alumni by providing comprehensive career development services and resources to support them in securing meaningful employment opportunities.
We help students and alumni explore career paths based on their interests, skills and experience as well as their career and educational goals. Career Services prepares students and alumni for career success through resume, interview and professional etiquette coaching. We facilitate networking among students, alumni and employers to find co-ops, internships and post-graduate opportunities.
Job Search Resources
- Job Search Tools
- Resumes & Cover Letters
- Negotiating Offers & Salaries
Of Speed School Graduates Accept a Job Within 90 Days of Graduation
Is the Median Salary of Recent Graduates of Speed School
Fifteen engineering personnel make list.
Research aims to develop new avenues by merging modeling techniques with machine learning to automate synthesis pathway identification, structure-property relationships, and analysis of spectroscopy/microscopy images.