State Estimation & Navigation Lead

Neros Technologies

New Mexico

On-site

USD 192,000 - 268,000

Full time

14 days+
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Job summary

Neros Technologies is seeking a State Estimation and Navigation Lead to guide a small team responsible for onboard vehicle state and target state estimation, along with the uncertainty attached to each. This role owns the technical roadmap for estimation, and interfaces with guidance and control to ensure calibrated accuracy for autonomous systems.

You will lead development of GPS denied navigation, fuse IMU, vision, GNSS, and other onboard sensing on embedded compute, and define how estimation

Qualifications

  • 5+ years of professional experience in state estimation, navigation, sensor fusion, or GNC for robotics, aerospace, autonomous vehicles, or defense systems, including leadership experience.
  • Ownership of a state estimation or navigation system from architecture to deployment on production hardware.
  • Deep expertise in estimation theory and practical application (EKF, UKF, error state, or invariant filters).
  • Hands on experience fusing IMU, camera, GNSS, and range or altimetry sensing with calibration and synchronization.
  • Experience delivering navigation performance in GPS denied or degraded environments.
  • Strong C++ and Python, with real time algorithms under embedded constraints.
  • Quantitative validation experience with accuracy, drift, and consistency metrics.
  • Ability to debug estimation failures on real hardware and build regression tests.
  • Strong foundations in linear algebra, probability, and numerical optimization.

Responsibilities

  • Own the technical roadmap for onboard state estimation and navigation, and the interface to guidance and control.
  • Architect, implement, and field GPS denied and degraded navigation with multi-sensor fusion on embedded compute.
  • Lead the development of visual inertial and terrain relative navigation across aircraft.
  • Define standards for characterizing estimation uncertainty and reporting autonomy reliability with validation workflows.
  • Hire, mentor, and set the technical bar through design and code review on the estimation path.
  • Partner with perception, guidance, platform software, and hardware teams to support flight test and field deployment.

Skills

state estimation
navigation
sensor fusion
GNC
embedded compute
C++
Python
team leadership

Tools

C++
Python

Job description

Who we are

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.

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