State estimation and navigation lead for GPS-denied drone flight stacks. Owns onboard state estimation architecture and GPS-denied navigation across multiple aircraft platforms. Uses C++, Python, IMU/vision fusion, and embedded real-time algorithms.
Neros is a defense technology company rebuilding America’s drone industrial base. We design and manufacture high-performance unmanned systems that are tested in combat, iterated at startup speed, and built at massive scale. Our team culture is fast, hands-on, and obsessed with closing the gap between design and deployment.
As drones transform the character of warfare, Neros is delivering the systems the West needs to compete on the modern battlefield and deter the adversaries of democracy. We’re hiring engineers, operators, and builders who want to move fast, take on extreme ownership, and get capability into the hands of warfighters in months, not years.
What you will be doing
The State Estimation and Navigation Lead owns the team responsible for determining vehicle state and target state onboard Neros aircraft, along with the uncertainty attached to each. This team delivers the estimate that guidance, control, and mission behavior are built on, and its accuracy directly bounds the performance of the autonomy stack. You will lead a small team of state estimation and navigation engineers while remaining hands on in the estimator itself, delivering GPS denied navigation across multiple platforms in active development and defining how estimation performance is measured across the autonomy organization.
Own the technical roadmap for onboard state estimation and navigation, and the interface this team delivers to guidance and control, including vehicle state, target state, and calibrated uncertainty
Architect, implement, and field GPS denied and GPS degraded navigation to a bounded and measured accuracy specification, fusing IMU, vision, GNSS, and other onboard sensing on embedded compute
Lead the development of visual inertial and terrain relative navigation from prototype through fielded capability across multiple aircraft
Define and enforce the standard for characterizing estimation uncertainty and reporting autonomy reliability, including validation in simulation, dataset replay, hardware in the loop, and flight test
Hire, manage, and mentor state estimation and navigation engineers, and set the technical bar through design and code review on the estimation path
Partner with perception, guidance and control, platform software, and hardware teams on sensing, compute, latency, and calibration requirements, and support flight test and field deployment of the estimation stack
You should have the following
5+ years of professional experience in state estimation, navigation, sensor fusion, or GNC for robotics, aerospace, autonomous vehicles, or defense systems, including experience leading engineers as a manager or technical lead
Demonstrated ownership of a state estimation or navigation system taken from architecture through deployment on production hardware, not simulation alone
Deep expertise in estimation theory and its practical application, including EKF, UKF, error state or invariant filters, and factor graph or sliding window smoothing, along with the observability reasoning behind selecting among them
Hands on experience fusing IMU, camera, GNSS, and range or altimetry sensing, including calibration, time synchronization, latency compensation, bias modeling, and outlier rejection
Experience delivering navigation performance in GPS denied or GPS degraded environments
Strong C++ and Python, with experience implementing real time algorithms under embedded compute, memory, and latency constraints
A track record of quantitative validation, including defining accuracy, drift, and consistency metrics and building the simulation, dataset replay, hardware in the loop, and flight test workflows that measure them
Experience debugging estimation failures on real hardware in the field and converting them into reproducible regression tests
Strong foundations in linear algebra, probability, and numerical optimization
Nice to Have
Experience with visual inertial odometry or terrain relative navigation delivered as a fielded capability rather than a research result
Experience with target state estimation or tracking through clutter and occlusion, including range, bearing rate, and closing velocity
Experience building or contributing to small UAS flight stacks such as PX4, ArduPilot, or Betaflight, or to a custom flight control system
Experience defining evaluation or performance measurement standards that multiple teams report against
Experience scaling an autonomy stack across multiple vehicle platforms as a configuration rather than a fork
Prior work in a high tempo startup environment or on a program operating under ITAR or EAR constraints
US Salary Range
$191,500 – $268,000 USD
The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are considered part of Neros' total compensation package.
We’re an equal opportunity employer. We welcome all applicants without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
