Mission Test, Modeling & Dev Ops Software Engineer

About the position

At the core of iterative mission design are the tools used to explore problem space and exercise systems to generate and make sense of the data needed to drive engineering decisions. As a mission test, modeling & dev ops software engineer at True Anomaly, you'll be building the machine to build the space security machine. You'll have ownership of challenging, greenfield problems and a chance to fundamentally impact the outcome of future conflict (and the future of the company).

Responsibilities

• Architect & implement improvements to mission test & analysis pipelines to increase velocity of engineering design iteration and drive down cycle time
• Perform workflow analysis across the engineering team and implement streamlining solutions
• Work independently to collaborate with a wide set of stakeholders to ensure subsystem engineers have the data needed to make design decisions
• Construct & adapt data input structures to improve the ability to simulate different vehicle configurations and mission baselines simultaneously
• Improve simulation capabilities to increase fidelity of software in the loop simulation
• Implement analysis products to organize and visualize data created from analysis tools and software in the loop simulation
• Implement automated constraint checking to rapidly flag issues across sim environments
• Interface with other software disciplines across the company to define, architect and build interfaces to flight and ground software systems

Requirements

• Bachelor's degree in an engineering, physics, math or related discipline or 3+ years professional experience in object-oriented software development, test and continuous integration
• Minimum 2 years of experience in Python and C++

Nice-to-haves

• Strong debugging skills and ability to analyze and improve existing code bases
• Ability to learn a system, gather stakeholder needs, and execute solutions independently
• Ability to identify a need and create solutions in the absence of specific requirements
• Very good communication skills to distill from engineers' pain points to solution architectures
• Willingness to iterate and adapt implementation to changing needs
• Experience applying machine learning to improve anomaly identification

Benefits

• Base Salary: $90,000 to $120,000
• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave