Design algorithms to track and plan aircraft trajectories in the National Airspace System as an Optimization Software Engineer.
Posted by employer 1 day ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
Skills & Technologies
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AI in the day-to-day
Proficient in leveraging modern LLM tools to accelerate development workflows and enhance code quality.
Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.
Joblaze summary
The Optimization Software Engineer at Air Space Intelligence focuses on designing algorithms to track and plan aircraft trajectories within the National Airspace System. This role requires expertise in operations research, optimization techniques, and data analysis, utilizing programming languages like Rust and Python. It is well-suited for professionals with a background in logistics or aviation, particularly those experienced in mission-critical applications. The Civil Aviation team is engaged in modernizing air traffic control, addressing complex real-time challenges in a high-stakes environment.
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About the Civil Aviation Team
We are modernizing America’s air traffic control system on an accelerated timeline, tackling one of the world’s most complex real-time optimization challenges: safely coordinating tens of thousands of daily flights in a dynamic, safety-critical environment. Our team is building next-generation trajectory prediction and decision-support systems while preparing the airspace for emerging technologies like commercial space operations and advanced air mobility. This mission-critical work demands exceptional precision, resilience, and reliability to support the safety and efficiency of the national airspace.
What You Will Do
As an Optimization Software Engineer on the Civil Aviation team, you will design algorithms help track and plan trajectories for thousands of aircraft operating in the National Airspace System (NAS). You will use your knowledge of Operations Research (OR), optimization, statistics, and data science to design, analyze, and implement software to help monitor and control one the world’s most complicated airspaces in real time.
What We Value
Experience designing algorithms for mission-critical applications
Experience with various optimization algorithms, including linear programming, mixed integer linear programming, constraint satisfaction, greedy algorithms, etc.
Experience analyzing large data sets and using statistical and machine learning techniques to build models from them
Domain experience in logistics, aviation, or related fields where large scale planning is required
Experience with modern programming languages such as Rust and Python
Strong collaboration skills and comfort working across teams in a mission-critical environment.
Proficient in leveraging modern LLM tools to accelerate development workflows and enhance code quality.
ASI works with export-controlled technology and restricted U.S. Government data, including on contracts mandating U.S. immigration status and location restrictions for performing personnel. Employment offers are contingent on ability to timely obtain all required authorizations for contemplated job duties.
Standard company text repeated across Air Space Intelligence's postings is omitted here.