Senior Autonomy Engineer - State Estimation

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    "description": "<p><span><span>Are you passionate about shaping the future of humanity's presence in space? Lunar Outpost, a trailblazer in space robotics, invites you to join our team! Lunar Outpost is dedicated to creating a sustainable presence in space, while also driving positive impacts here on Earth. We are </span><span>seeking</span><span> a talented, experienced <span style=\"font-weight: bold\">Senior Autonomy Engineer - State Estimation</span></span></span><span style=\"font-weight: bold\">. </span><span><span>As </span><span>a part of our </span><span>State Estimation </span><span>Team</span><span>, you will play a pivotal role in developing</span><span> </span><span>cutting-edge</span><span> autonomous navigation and control systems for our lunar </span><span>rovers</span><span>. Working at the intersection of autonomy, robotics, and space exploration, you </span><span>will </span><span>be</span><span> </span><span>responsible for</span><span> the architecture, development, and verification of the vehicle state estimation stack, including local state filters, global localization methods, and lunar surface state measurement solutions</span><span>. </span><span>This role provides technical leadership for a critical subsystem that underpins mobility, autonomy, safety, and mission operations.</span><span> </span><span>Collaborating with cross-disciplinary engineering teams, </span><span>you'll</span><span> bring your </span><span>expertise</span><span> to solve complex challenges and drive the innovation needed to explore new frontiers</span><span> in space</span><span>.</span></span><span> </span></p>\n<p><br></p>\n<p><span style=\"color: rgb(0, 0, 0)\">Take the #NextLeap with Lunar Outpost and work on the Pegasus LTV, which will carry NASA astronauts farther than they've ever been before on the lunar surface! </span></p>\n<p><span style=\"font-weight: bold\"><span><br></span></span></p>\n<p><span style=\"font-weight: bold\"><span><span>Key Responsibilities:</span></span></span><span> </span></p>\n<ul>\n<li><span><span>Own the end-to-end state estimation architecture for robotic platforms, spanning local state propagation, global localization, </span><span>outlier rejection,</span><span> and external measurement integration</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Lead the design, implementation, and validation of state filters, including </span><span>e</span><span>xtended Kalman </span><span>f</span><span>ilters, factor-graph optimization, and related probabilistic estimators</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Develop and </span><span>maintain</span><span> </span><span>both </span><span>global </span><span>and relative </span><span>localization solutions</span></span></li>\n</ul>\n<ul>\n<li><span><span>Fuse</span><span> </span><span>state </span><span>measurement</span><span>s </span><span>from onboard and external </span><span>sources</span><span> and infer dynamic constraints on state from</span><span> sources such as</span><span> </span><span>terrain</span></span><span><span> </span></span><span><span>features,</span><span> vehicle health signals</span></span></li>\n</ul>\n<ul>\n<li><span><span>Define estimator interfaces, data products, timing requirements, and covariance conventions for downstream consumers, including planning, control, fault management, and mission operations</span></span></li>\n</ul>\n<ul>\n<li><span><span>Establish estimator performance requirements, observability analyses, consistency checks, and failure detection strategies</span></span></li>\n</ul>\n<ul>\n<li><span><span>Lead offline </span><span>analysis and</span><span> field validation of estimation performance across representative operational scenarios</span></span></li>\n</ul>\n<ul>\n<li><span><span>Guide</span><span> sensor fusion strategies in collaboration with sensor and systems engineering teams, including calibration, latency handling, and fault tolerance</span></span></li>\n</ul>\n<ul>\n<li><span><span>Support anomaly investigation, estimator tuning, and root-cause analysis during integration and field operations</span></span></li>\n</ul>\n<ul>\n<li><span><span>Conduct field tests and simulations to </span><span>validate</span><span> and refile algorithms and software </span><span>systems</span></span></li>\n</ul>\n<ul>\n<li><span><span>Ensure </span><span>software systems adhere to industry standards for safety, reliability, and performance in space exploration contexts</span></span></li>\n</ul>\n<ul>\n<li><span><span>Mentor junior engineers and promote a culture of technical excellence and innovation within the </span><span>team</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Stay at the forefront of autonomy and robotics technology, incorporating the latest advancements into our projects</span></span></li>\n</ul>\n<p><span style=\"font-weight: bold\"><span><br></span></span></p>\n<p><span style=\"font-weight: bold\"><span><span>Required Qualifications:</span></span></span><span> </span></p>\n<ul>\n<li><span><span>Experience in research and development of </span><span>perception</span><span> and localization in unstructured environments</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Bachelor’s degree</span><span> or higher</span><span> in </span><span>Computer Science, Robotic Engineering, or related field</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>A minimum of </span><span>5</span><span> </span><span>years of relevant professional experience</span><span> in developing </span><span>state estimation systems for robotics, autonomous vehicles, aerospace, or similar domains</span></span></li>\n</ul>\n<ul>\n<li><span><span>Demonstrated </span><span>expertise</span><span> with probabilistic state estimation techniques, including EKF, UKF, factor graphs, or smoothing-based methods</span></span></li>\n</ul>\n<ul>\n<li><span><span>Experience with global localization or map-referenced estimation techniques, such as terrain matching, image-based localization, or absolute navigation methods</span></span></li>\n</ul>\n<ul>\n<li><span><span>Strong foundation</span><span> in estimation theory, uncertainty propagation, observability, and </span><span>applied </span><span>filter</span><span>ing</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Expertise</span><span> in programming languages such as C++, Python, and familiarity with ROS (Robot Operating System)</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Experience leading technical direction or mentoring engineers on complex algorithmic systems</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>U.S. Person</span></span><span> </span></li>\n</ul>\n<p><span style=\"font-weight: bold\"><span><br></span></span></p>\n<p><span style=\"font-weight: bold\"><span><span>Preferred Qualifications:</span></span></span><span> </span></p>\n<ul>\n<li><span><span>Background in </span><span>GPS-denied </span><span>navigation, planetary robotics, or operation in GPS-denied environments</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Experience integrating estimation with control systems, planners, or fault management frameworks</span></span></li>\n</ul>\n<ul>\n<li><span><span>Experience with photoclinometry, or terrain </span><span>relative</span><span> </span><span>navigation</span></span></li>\n</ul>\n<ul>\n<li><span><span>Familiarity with simulation and validation tools for estimation performance analysis</span></span></li>\n</ul>\n<ul>\n<li><span><span>Experience with long-duration autonomy, delayed updates, or intermittent absolute measurements</span></span></li>\n</ul>\n<ul>\n<li><span><span>Graduate degree in robotics, aerospace, applied mathematics, or </span><span>a related</span><span> discipline</span></span></li>\n</ul>\n<ul>\n<li><span><span>Demonstrated ability to work in multidisciplinary teams and communicate effectively across different engineering domains</span></span><br></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Compensation &amp; Benefits: </span><span style=\"font-style: italic\">Compensation level and base salary are competitively structured and thoughtfully determined based on factors such as relevant skills, experience, education, and the scope of the role.</span></p>\n<ul>\n<li><span style=\"font-family: Inter; font-size: 12.0pt; font-style: italic\">Comprehensive health coverage: Medical, dental, and vision benefits, with 70% of premiums covered by the employer</span></li>\n<li><span style=\"font-family: Inter; font-size: 12.0pt; font-style: italic\">Paid time off: Three (3) weeks per year of vacation</span></li>\n<li><span style=\"font-family: Inter; font-size: 12.0pt; font-style: italic\">Retirement plan: Up to 4% employer match on 401(k) contributions</span></li>\n<li><span style=\"font-family: Inter; font-size: 12.0pt; font-style: italic\">Paid holidays: 11 company-recognized holidays</span></li>\n<li><span style=\"font-family: Inter; font-size: 12.0pt; font-style: italic\">Parental leave</span></li>\n<li><span style=\"font-family: Inter; font-size: 12.0pt; font-style: italic\">Educational reimbursement opportunities to support company objectives, continued learning, and career development</span></li>\n</ul>\n<p> </p>\n<p><span style=\"font-style: italic; font-weight: bold\">Lunar Outpost Inc. is an equal opportunity employer. Lunar Outpost Inc. does not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, ethnicity, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. All employees, including executives and human resources personnel, are expected to conduct themselves with professionalism and treat others with dignity and respect in accordance with this policy. </span></p>\n<ul></ul>",
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