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Oshkosh Corporation Principal Engineer - Autonomy in Hagerstown, Maryland

About JLG, an Oshkosh company

JLG began in 1969, when our founder, John L. Grove set out to resolve growing safety concerns in the construction industry. Since then we have been committed to understanding the challenges and delivering innovative solutions to the access market. We partner with customers to provide quality equipment, training opportunities and trusted support within the access industry. We are a global company, and our products—including mobile elevating work platforms, telehandlers, utility vehicles and accessories—can be found all over the world.

DESCRIPTION

Within the Technology Development Team, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. In this role, you will be responsible for the development and implementation of autonomy systems into JLG’s product line of Boom Lifts, Scissor Lifts, and Telehandlers. The role consists of delivering a robust solution that uses innovative sensor technologies and algorithms to enable safe and efficient operation of our autonomous machines.

ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Perform essential autonomy development tasks including system trade studies, component modeling of inertial measurement units (IMU), global navigation satellite systems (GNSS), camera, radar, LiDAR as well as simulation of navigation algorithms, particularly Bayesian filters.

  • Propose and evaluate architecture concepts, perform architecture and technology trade-off analysis.

  • Define and validate requirements for sensors and state estimation software including sensor selection, monitoring, fault detection, and sensor fusion.

  • Work with a multi-disciplinary team to develop and integrate complex hardware/software systems.

  • Participate in rapid prototyping activities to develop advanced sensing and autonomy capabilities.

  • Contribute to architecture concepts, operational concepts, and technology trade-off analyses.

  • Analyze, source, and select sensor solutions for use in the navigation system.

  • Participate in requirements definition and (sub)-functions description.

  • Give technical presentations and provide technical support to Autonomy/Engineering stakeholders.

  • Other duties as assigned.

BASIC QUALIFICATIONS

  • Bachelor’s degree in Aerospace, Mechanical Engineering, Electrical Engineering, or other related fields.

  • Experience in physics-based modeling for mechanical and electrical systems.

  • Minimum of 6 years experience in sensor signal processing and sensor fusion algorithms.

  • Experience with navigation system and performance analysis of navigation systems and navigation state error estimation with knowledge of optimal state estimation filters such as Kalman Filter and Extended Kalman filter (EKF).

  • Experience developing and integrating state estimation algorithms for localization, calibration, mapping, or SLAM applications in robotic systems.

  • Experience developing algorithms which fuse many sensor modalities is a plus.

  • Experience with object-oriented programming.

  • Ability to interpret, develop, and integrated highly abstracted code to facilitate efficiency, modularity, and reusability.

  • Experience with agile software development practices.

  • Experience with embedded devices.

  • Experience in a regulatory environment.

  • Experience with highly automated systems.

  • Excellent verbal and written communication skills.

  • Proactive delivery of communication and follow up.

  • Excellent organizational skills and attention to detail.

  • Must have the ability to independently prioritize and accomplish work within time constraints.

  • Self-motivated and forward-thinking personality.

PREFERRED QUALIFICATIONS

  • Proficiency in C++ (C++11 and higher) and Python desired.

  • Proficiency in Make and CMake.

  • Proficiency in ROS1 or ROS2.

  • Proficiency in modern software development workflows and practices, including version control, pipelines, and unit testing, and peer review.

  • Proficiency in optimization algorithms, computer vision, and machine learning.

Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at: 920-502-3009 or corporatetalentacquisition@oshkoshcorp.com.

Oshkosh Corporation is an Equal Opportunity and Affirmative Action Employer. This company will provide equal opportunity to all individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Information collected regarding categories as provided by law will in no way affect the decision regarding an employment application.

Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information.

Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

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