Computational Engineer

Protection Engineering Consultants (PEC) is a unique and diverse small-business engineering firm. PEC’s services range from security consulting and risk mitigation support to the design, research, analysis and testing of protective structures subject to extreme loads, such as weapons effects, blast, vehicle impact, forced entry attack and natural hazards. We provide structural and mechanical engineering services; use machine learning (ML) and uncertainty quantification (UQ) techniques to deliver novel solutions to engineering problems;

create specialized software for defense and anti-terrorism applications; perform advanced numerical modeling; develop, oversee and perform nonlinear and dynamic testing; develop criteria for protective applications; and, provide training. We work domestically and internationally.

PEC is looking for a creative coding-capable engineer to support the development of novel ML/UQ algorithms that address the unique engineering challenges of our military and civilian clients. Preferred areas of expertise include data engineering, machine learning, data visualization, and computer vision. Other areas of value include deep learning, experience with PyTorch, and knowledge of version control systems (e.g., git, etc.).

Experience with finite element analysis (FEA) or computational engineering simulations would be particularly valuable, as many of our ML development efforts are closely coupled with physics-based modeling and simulation. Project work can be highly varied; the position demands flexibility, cleverness, and autodidactic learning. The successful candidate will be proficient with Python and be able to develop novel solutions from prototyping through software integration.

Your role initially will be to provide support for our ongoing efforts. PEC provides opportunities for growth into project management, marketing, and business development, as your interests dictate.

This is a local, hybrid position based out of PEC’s San Antonio or Austin, Texas office. The typical hybrid work schedule is three days in the office and two days working from home, supporting regular in-person collaboration while maintaining some flexibility for remote work.

PEC will cover reasonable travel expenses associated with in-person interviews for candidates invited to visit one of our office locations.

• BS or MS in Engineering, Computer Science, Data Science, Physics, or a similar field.
• Professional experience not required, but 3-5 years of experience considered a plus.
• Proficiency in Python and version control systems.
• Proficiency in FEA.
• Ability to clearly communicate verbal and written technical information
• This position requires eligibility to obtain and maintain a U.S. Government security clearance. U.S. citizenship is required for this position due to U.S. Government security clearance requirements.

PEC offers a competitive compensation package for the successful candidate. Benefits include:

• Annual performance bonuses.
• Opportunity for company ownership.
• Professional development and training support.
• Health, Dental, and Vision Insurance paid in full.
• 401(k) match plan.
• Wellness reimbursement.

Protection Engineering Consultants, LLC (PEC) is an Equal Opportunity Employer. PEC provides equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

Protection Engineering Consultants LLC (PEC) provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, PEC complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfers, leaves of absence, compensation and training.