State Estimation & Navigation Lead

nerostechnologies; Torrance (CA); On-site; USD 192,000 - 268,000; Full time

Job summary

Neros is seeking a senior engineer to own the state estimation and navigation roadmap for unmanned systems. You will architect and deploy GPS-denied/navigation capabilities, fusing IMU, vision, GNSS, and other onboard data on embedded hardware.

You will lead a team of estimation engineers, define uncertainty metrics, and validate through simulations, hardware-in-the-loop, and flight tests on multiple platforms.

Qualifications

• 5+ years of professional experience in state estimation, navigation, sensor fusion, or GNC.
• Proven ownership of a state estimation or navigation system from architecture through deployment on production hardware.
• Deep expertise in estimation theory and its practical application, including EKF, UKF, error state or invariant filters, and factor graph or sliding window smoothing.
• 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.

Responsibilities

• Own the technical roadmap for onboard state estimation and navigation, interfacing with guidance and control.
• Architect, implement, and field GPS denied/degraded navigation, fusing IMU, vision, GNSS on embedded compute.
• Lead the development of visual inertial and terrain relative navigation from prototype to fielded capability across multiple aircraft.
• Define and enforce the standard for characterizing estimation uncertainty and reporting autonomy reliability, including validation in simulation and flight test.
• Hire, mentor, and manage state estimation and navigation engineers, and set technical bar through design and code reviews.

Skills

State estimation

Navigation

Sensor fusion

Leadership experience

C++

Python

Real-time embedded

Linear algebra

Optimization

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

• 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 a