Senior Systems Engineer - MBSE/Simulink

We’re engineering the future of aerospace and defense. If you thrive on tackling complex challenges and delivering solutions where precision and reliability are non-negotiable, we want you on our team. Here, your expertise powers mission-critical systems that safeguard lives, advance technology, and push the boundaries of what’s possible. Join us and bring your skills to work where innovation meets impact. 

We are seeking a Senior MBSE Systems Engineer. This position for an individual with educational and/or professional experience in the development of solutions to GPS Navigation Systems. This individual will be required to run and test algorithmic models using Simulink and MATLAB. The work is highly technical, and the individual must be comfortable with documenting equations, derivations, and generating plots in MATLAB. The individual must be comfortable with data and statistical analysis. In addition to Model-based Development work, the role will also include lab-based contributions on the target products.

Location: This position can be based in Cedar Rapids, IA, Sterling, VA, and Fullerton, CA. Relocation assistance is available.

Citizenship: Due to the nature of the work, US Citizenship is required. 

The successful candidate must be able to work on individual tasks under limited supervision, or with a team to achieve operational targets, and must have the ability to communicate and collaborate with parties within and outside of their own job function. Eventually, the candidate may help provide guidance, coaching, and training to other employees within their job area.

What You’ll Do

• Test and validate navigation algorithms and algorithmic models using MATLAB and Simulink.
• Develop tools and test infrastructure needed to perform comprehensive model and algorithm testing.
• Conduct analyses for system troubleshooting
• Improve code quality by performing code reviews and good software practices
• Analyze data using advanced mathematical and statistical techniques

Required Qualifications: 

• Bachelor’s degree in a STEM discipline with at least five years of relevant experience, or an advanced STEM degree with at least three years of relevant experience.
• Experience in MATLAB and Simulink
• Experience in Code optimization and/or numerical stability
• Experience in the Systems Engineering discipline
• Experience in reading and developing algorithm descriptions, mathematical expressions and derivations, matrix manipulations, outlier analysis, and system level analysis
• Ability to work onsite in Cedar Rapids, Iowa.
• U.S. citizenship is required.

Preferred Qualifications: 

• Master’s degree in Systems Engineering, Electrical Engineering, Aerospace Engineering, Applied Mathematics, or a related discipline.
• Professional background specializing in performing complex statistical analysis and/or mathematical modeling
• Experience in performing data analysis and problem-solving (e.g. anomaly investigation)
• Experience adopting and/or integrating emerging technologies (e.g., generative AI, automation platforms, digital assistants) into day-to-day operations for continuous improvement.

The QDSS Advantage:  

At QDSS, our advantage is purpose-driven work, collaborative teams, and complex challenges that push boundaries and build lasting impact. You’ll grow your career while contributing to mission-critical programs that demand excellence and shape the future. 

What You’ll Find Here 

• Work That Matters – Next-generation, safety- and mission-critical projects where your contributions have real-world impact. 
• Growth That’s Supported – Competitive compensation, employer-matched 401(k), certification assistance, and clear opportunities for advancement. 
• A Culture That Works – A flexible, collaborative, and people-first environment where teamwork, innovation, and balance are valued. 

Benefits Include 

• Competitive pay, comprehensive medical/dental/life and disability coverage, 401(k) with employer match, professional development support, and a flexible, friendly workplace. 

Pay Ranges 130000 - 160000 USD