GNC Software Engineer (Civil Aviation)
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Key details
Why this role is notable
A venture-backed software startup is building trajectory-prediction and decision-support systems for the U.S. air traffic control system, signaling that private tech firms are moving into safety-critical national infrastructure that was once the domain of government contractors and legacy aerospace primes.
Job Description
About ASI
ASI's mission-critical technology powers decision-making across aviation, defense, energy, and other critical infrastructure domains. Backed by top-tier investors including Andreessen Horowitz, Spark Capital, and Renegade Partners, ASI delivers operational decision superiority—compressing days of analysis into seconds of action. ASI is leading the way and pushing the boundaries of what’s possible.
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 a Guidance, Navigation, and Control (GNC) 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 state estimation, physics, aircraft design, optimization, and algorithms 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
Expertise in core GNC domains, including state estimation and algorithm design
Experience with Monte Carlo analysis as a means to validate and tune algorithm performance
Domain experience in aviation or related fields where physical systems are modeled and controlled
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.
How We Hire:
We look at the interview process not as a screening or test, but rather as an opportunity to simulate what it would look like working together. We build the interview process around you.
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.
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This isn't an application to Air Space Intelligence.
Audit details(provenance, verification trail, raw fields)
Core fields
air-space-intelligence:fac87867-517e-4452-9d41-c74c7ccab3e9Provenance
airspace-intelligence.comVerification trail
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LLM enrichment
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