Performance ENGINEERING INTERN in Houston, Texas at Aerodyne Industries
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Job Description
ASCEND Aerospace & Technology, LLC (ASCEND) is an All-Small Mentor-Protégé Program (ASMPP) Joint Venture (JV) between Aerodyne Industries, LLC and Amentum Technology Inc., that leverages our 12+ year collaboration as award-winning NASA contractors. Through our ASCEND partner companies, we have 62+ years of experience working for NASA and currently manage 5,500 employees across nine NASA Centers. With this foundation of expertise, we are dedicated to helping every mission succeed—today and into the future.
Job Description
The Contract for Organizing Spaceflight Mission Operations and Systems (COSMOS), NASA’s next-generation mission operations contract, has an excellent opportunity for an intern to join the Performance Engineering team. System Performance Engineering encompasses the techniques applied during the system development life cycle to ensure the non-functional requirements for ground systems within the Mission Control Center Systems (MCCS), Training Systems (TS), Space Vehicle Mockup Facility (SVMF) are met. Adherence to the non-functional requirements is also validated post-deployment by monitoring the production systems. The applicant will work in a dynamic team environment and will be responsible for working with the NASA customer, other systems engineers, and software engineers to understand system requirements and to determine the operation of the system through measuring and evaluating its system performance characteristics. The applicant could have the unique opportunity to support human spaceflight during the mission operation critical phases of launch, rendezvous, and landing. COSMOS ensures the continuity of critical human spaceflight support by providing mission control services advanced training systems, and full-scale spacecraft mockups for astronaut preparation and engineering analysis.
Description of Duties
The Performance Engineering Intern will work in a dynamic team environment helping with code refactoring, moving to using version control, and work to move to have a test/development location for the team. The successful applicant will help create new automation tools/scripts. The applicant could assist with software acceptance review package first look analysis possibly helping with the creation of scripts to automate this process. Work with team members on deep dive analysis steps. The team will work to train the intern on performance diagnostic work and possibly allow them to handle simpler Incident Report (IRs). The intern will help review and update team documentation.
The intern will be exposed to the NASA customer, other systems engineers, users, and software engineers to determine the operation of the system through measuring and evaluating its system performance characteristics. The candidate maybe assigned other integration assignments within the Integration Services department to help achieve department, directorate, and contract goals. An understanding of the full software development life cycle from planning, design, building, testing, deployment and maintenance (SDLC) is a plus.
Successful candidates will:
- Be curious and willing to learn
- Collect raw resource utilization data from workstations, servers and networks from the development, integration and production environments
- Develop automation scripts for handling big data
- Perform script creation and maintenance, as well as process improvement/automation to advance overall system performance capabilities
- Possess strong team-building skills across multi-functional areas that establish a collaborative operational structure including active listening, prompt service and follow-up
- Exhibit proven track record of working under tight deadlines
- Have a high degree of self-motivation and the ability to work independently
- Have a keen attention to detail/be detail-oriented
- Have excellent communication skills, both written and verbal.
- Exhibit professional behavior that promotes teamwork, fosters cooperation, and enhances productivity in the workplace.
- Be well organized with the ability to coordinate, prioritize and execute multiple tasks simultaneously in a high-pressure environment.
Job Requirements
Must be working towards one of the following: Bachelor’s/Master’s degree
- Preferred candidates will be working towards a bachelor’s or master’s degree in computer science, Engineering, Information Technology, MIS, Math or a related area
- Familiarity with scripting and/or automation
- Familiarity with the software, development life cycle (SDLC)
- Be able to work a flexible and dynamic work schedule
- Could OJT (On the Job training) real-time mission ops during second or third shift, nights and weekends
- Must be able to obtain a NASA Personal Identity Verification (PIV) Badge for NASA credentials
The individual should possess strong initiative, be a team player (teamwork), be flexible to changing program needs, and possess strong troubleshooting and problem-solving skills. The job requires close communication and collaboration with other engineers, the software development community and NASA customer to successfully perform analysis and monitor systems. The successful candidate will be a self-learner, curious and familiar with SW engineering; will possess coding skills (Python, C+, Linux, Windows), be detail oriented and have clear concise communication (able to explain technical performance data and metrics/data visualization). To be successful, the candidate shall have the ability to work towards deadlines and deliver quality products.
Desired Requirements
- Data visualization skills like Power BI, or Python virtualization (venv)
- Experience with software containers (Docker, Pod)
- Experience with Office 365 Tools; Windows Admin skills
- Previous experience with automation, Linux, and Python
- Previous experience with data mining and data management
- Familiarity with scripting languages and monitoring tools
- Familiarity with Requirements verification methodologies
- Familiarity with Service Now, SolarWinds, Big Fix, Splunk or similar tools
- Leadership skills
- Understanding of data structures
- Data Science and Statistical learning
- Data Programming
- Experience with networking (familiarity with Wireshark is a plus)
All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.
Final compensation is determined through a comprehensive evaluation of several key factors, including the candidate’s educational background, specialized technical expertise, and relevant professional experience. We also consider internal equity, prevailing market data, and specific contractual or funding requirements to ensure competitive and equitable offer alignment.