Perception Engineer III

We are seeking a Senior Robotics Perception Engineer to serve as the perception technical lead embedded within a program team, developing seeker, target state estimation, and world modeling capabilities on top of our common AI/ML platform. You will own perception architecture and delivery for the program while contributing reusable capabilities back to the platform, working across the full pipeline from sensor data to actionable world state consumed by autonomy and mission software.

Responsibilities:

Target State Estimation & Seeker Systems

Design and develop target detection, tracking, and state estimation pipelines that produce robust track kinematics under challenging observation conditions

Implement track initiation, maintenance, association, and termination logic with well-characterized uncertainty

Develop and tune nonlinear state estimators (EKF, UKF, particle filters) for target motion modeling

Characterize seeker performance across engagement geometries, environmental conditions, and target signatures

Define confidence and covariance outputs that downstream autonomy can reason about

World State Modeling & Multi-Source Fusion

Architect the world state representation that fuses self-state, target tracks, terrain, threats, and mission context into a coherent model

Integrate outputs from VIO/SLAM, sensor fusion, and target tracking into a unified perception picture

Manage temporal alignment, coordinate frames, and data association across heterogeneous sensor streams

Define perception-to-autonomy interfaces with clear semantics for state, uncertainty, and freshness

Autonomy Integration & System Architecture

Own the perception architecture for the program and drive alignment with autonomy, guidance, and mission software teams

Design DDS topic structures and message contracts for perception outputs within a WOSA-aligned architecture

Build ROS2 nodes and libraries that expose perception capabilities through clean, versioned interfaces

Contribute reusable perception components back to the common AI/ML platform for use across programs

Balance program-specific customization against platform-level standardization

Embedded Performance & Deployment

Develop and optimize perception code in C++ for deterministic performance on embedded compute

Profile compute, memory, and I/O to meet real-time constraints on resource-limited platforms

Make architectural decisions about what runs on GPU, CPU, or dedicated accelerators

Support integration, hardware-in-the-loop testing, and field validation of perception subsystems

Technical Leadership

Write technical design documents, RFCs, and trade studies that drive perception architecture decisions

Mentor junior perception engineers through code review, pairing, and technical direction

Represent perception in program-level technical reviews and cross-team planning

Translate program requirements into perception subsystem requirements with measurable acceptance criteria

Qualifications:

Bachelor's in Robotics, Aerospace Engineering, Computer Science, Electrical Engineering, Applied Mathematics, or related field (Master's preferred) – equivalent industry experience also welcome

6-9+ years of experience in robotics perception, state estimation, or sensor fusion

Strong proficiency in modern C++ for real-time embedded systems, with an emphasis on determinism, memory discipline, and performance

Hands-on experience with ROS2 and DDS-based middleware in production or program-delivered systems

Demonstrable experience developing and tuning nonlinear state estimators (EKF, UKF, or particle filters) for real applications

Working knowledge of at least one relevant area: target tracking, SLAM, VIO, or multi-sensor fusion – with the ability and interest to grow into the others

Experience deploying perception software on embedded compute platforms

Strong foundation in linear algebra, probability, coordinate frames, and estimation theory

Track record of owning a technical subsystem within a program or product from architecture through delivery

Ability to communicate technical trade-offs to both engineering and program stakeholders

Preferred:

Experience with seeker systems, target tracking, or guidance-adjacent perception in a defense context

Hands-on work with WOSA, MOSA, or other open architecture standards

Deep DDS experience including QoS design, discovery, and performance tuning

NVIDIA Jetson deployment experience including profiling, memory management, and platform-specific optimization

Experience with SLAM/VIO frameworks (OpenVINS, VINS-Fusion, ORB-SLAM, GTSAM, Ceres)

Familiarity with PX4 or ArduPilot autopilot integration and MAVLink

Understanding of multi-hypothesis tracking, JPDA, or MHT approaches

Background integrating classical perception with learned components (detection, segmentation, feature learning)

GPU acceleration experience (CUDA, TensorRT) for perception workloads

Experience with hardware-in-the-loop test infrastructure and flight test data analysis

Familiarity with model-based development workflows (Simulink, ROS2 code generation)

Publications, patents, or prior program contributions in tracking, estimation, or autonomous systems

Ability to obtain or maintain a security clearance

Pay range for this role

$155,000—$185,000 USD