Perception Engineer III at Zone 5 Technologies

United StatesFull-timeTechnology DevelopmentPosted 3 months ago

About the Role

<div class="content-intro">At Zone 5 Technologies, we're redefining what's possible in unmanned aircraft systems. Our team of engineers and innovators is developing cutting-edge autonomous solutions that push the boundaries of UAS technology - solving complex challenges that matter. We're building the future of UAS capabilities, and we're looking for exceptional talent to join us. If you're driven by hard problems, energized by rapid innovation, and ready to make an impact on next-generation flight systems, you belong here.</div>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  <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="1" data-aria-level="1">Design and develop target detection, tracking, and state estimation pipelines that produce robust track kinematics under challenging observation conditions </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="2" data-aria-level="1">Implement track initiation, maintenance, association, and termination logic with well-characterized uncertainty </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="3" data-aria-level="1">Develop and tune nonlinear state estimators (EKF, UKF, particle filters) for target motion modeling </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="4" data-aria-level="1">Characterize seeker performance across engagement geometries, environmental conditions, and target signatures </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="5" data-aria-level="1">Define confidence and covariance outputs that downstream autonomy can reason about </li> </ul> World State Modeling & Multi-Source Fusion  <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="6" data-aria-level="1">Architect the world state representation that fuses self-state, target tracks, terrain, threats, and mission context into a coherent model </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="7" data-aria-level="1">Integrate outputs from VIO/SLAM, sensor fusion, and target tracking into a unified perception picture </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="8" data-aria-level="1">Manage temporal alignment, coordinate frames, and data association across heterogeneous sensor streams </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="9" data-aria-level="1">Define perception-to-autonomy interfaces with clear semantics for state, uncertainty, and freshness </li> </ul> Autonomy Integration & System Architecture  <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="10" data-aria-level="1">Own the perception architecture for the program and drive alignment with autonomy, guidance, and mission software teams </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="11" data-aria-level="1">Design DDS topic structures and message contracts for perception outputs within a WOSA-aligned architecture </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="12" data-aria-level="1">Build ROS2 nodes and libraries that expose perception capabilities through clean, versioned interfaces </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="13" data-aria-level="1">Contribute reusable perception components back to the common AI/ML platform for use across programs </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="14" data-aria-level="1">Balance program-specific customization against platform-level standardization </li> </ul> Embedded Performance & Deployment  <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="15" data-aria-level="1">Develop and optimize perception code in C++ for deterministic performance on embedded compute </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="16" data-aria-level="1">Profile compute, memory, and I/O to meet real-time constraints on resource-limited platforms </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="17" data-aria-level="1">Make architectural decisions about what runs on GPU, CPU, or dedicated accelerators </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="18" data-aria-level="1">Support integration, hardware-in-the-loop testing, and field validation of perception subsystems </li> </ul> Technical Leadership  <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="19" data-aria-level="1">Write technical design documents, RFCs, and trade studies that drive perception architecture decisions </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="20" data-aria-level="1">Mentor junior perception engineers through code review, pairing, and technical direction </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="21" data-aria-level="1">Represent perception in program-level technical reviews and cross-team planning </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="22" data-aria-level="1">Translate program requirements into perception subsystem requirements with measurable acceptance criteria </li> </ul> Qualifications:  <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="23" data-aria-level="1">Bachelor's in Robotics, Aerospace Engineering, Computer Science, Electrical Engineering, Applied Mathematics, or related field (Master's preferred) – equivalent industry experience also welcome </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="24" data-aria-level="1">6-9+ years of experience in robotics perception, state estimation, or sensor fusion </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="25" data-aria-level="1">Strong proficiency in modern C++ for real-time embedded systems, with an emphasis on determinism, memory discipline, and performance </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="26" data-aria-level="1">Hands-on experience with ROS2 and DDS-based middleware in production or program-delivered systems </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="27" data-aria-level="1">Demonstrable experience developing and tuning nonlinear state estimators (EKF, UKF, or particle filters) for real applications </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="28" data-aria-level="1">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 </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="29" data-aria-level="1">Experience deploying perception software on embedded compute platforms </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="30" data-aria-level="1">Strong foundation in linear algebra, probability, coordinate frames, and estimation theory </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="31" data-aria-level="1">Track record of owning a technical subsystem within a program or product from architecture through delivery </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="32" data-aria-level="1">Ability to communicate technical trade-offs to both engineering and program stakeholders </li> </ul> Preferred:  <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="33" data-aria-level="1">Experience with seeker systems, target tracking, or guidance-adjacent perception in a defense context </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="34" data-aria-level="1">Hands-on work with WOSA, MOSA, or other open architecture standards </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="35" data-aria-level="1">Deep DDS experience including QoS design, discovery, and performance tuning </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="36" data-aria-level="1">NVIDIA Jetson deployment experience including profiling, memory management, and platform-specific optimization </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="37" data-aria-level="1">Experience with SLAM/VIO frameworks (OpenVINS, VINS-Fusion, ORB-SLAM, GTSAM, Ceres) </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="38" data-aria-level="1">Familiarity with PX4 or ArduPilot autopilot integration and MAVLink </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="39" data-aria-level="1">Understanding of multi-hypothesis tracking, JPDA, or MHT approaches </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="40" data-aria-level="1">Background integrating classical perception with learned components (detection, segmentation, feature learning) </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="41" data-aria-level="1">GPU acceleration experience (CUDA, TensorRT) for perception workloads </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="42" data-aria-level="1">Experience with hardware-in-the-loop test infrastructure and flight test data analysis </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="43" data-aria-level="1">Familiarity with model-based development workflows (Simulink, ROS2 code generation) </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="44" data-aria-level="1">Publications, patents, or prior program contributions in tracking, estimation, or autonomous systems </li> </ul> <ul> <li data-leveltext="•" data-font="" data-listid="2" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769242":[8226],"469777803":"left","469777804":"•","469777815":"hybridMultilevel"}" data-aria-posinset="45" data-aria-level="1">Ability to obtain or maintain a security clearance </li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="title">Pay range for this role</div><div class="pay-range">$155,000—$185,000 USD</div></div></div><div class="content-conclusion">What's in it for you: Benefits:  <ul> <li>Competitive total compensation package </li> <li>Comprehensive benefit package options include medical, dental, vision, life, and more.</li> <li>401k with company-match </li> <li>3 weeks of paid time off each year</li> <li>40 hours of sick time</li> <li>12 annual company holidays</li> </ul> Why Join Zone 5 Technologies? <ul> <li>Innovative Environment: Work on cutting-edge technology that is shaping the future of defense and aerospace.</li> <li>Collaborative Culture: Join a team of passionate professionals dedicated to pushing the boundaries of what’s possible.</li> <li>Career Growth: Opportunities for professional development and career advancement.</li> </ul> If you are passionate about unmanned aircraft technology and want to be a part of a dynamic and growing company, we would love to hear from you. Apply today and join the Zone 5 Technologies team!  In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Zone 5 Technologies is a federal contractor and participates in E-Verify to confirm employment eligibility. As required by law, we will verify the identity and employment authorization of all new employees using the E-Verify system. Learn more about your rights and responsibilities under E-Verify: <a id="menur1c92" class="fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn" href="https://www.e-verify.gov" target="_blank">https://www.e-verify.gov</a>.</div>

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