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Manager Ros Robotics Jobs in Washington (NOW HIRING)

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Manager Ros Robotics information

What is the difference between Manager Ros Robotics vs Robotics Engineer?

AspectManager Ros RoboticsRobotics Engineer
Required CredentialsBachelor's or Master's in Robotics, Engineering, or related field; leadership experienceBachelor's or Master's in Robotics, Mechanical, Electrical Engineering, or Computer Science
Work EnvironmentOversees teams in labs, manufacturing, or R&D facilities; managerial dutiesDesigns, develops, and tests robotic systems; hands-on technical work
Employer & Industry UsageUsed in robotics companies, manufacturing, automation firmsEmployed in similar industries, focusing on technical development
Common Search & ComparisonOften compared for leadership roles in roboticsCompared for technical expertise and development roles

The main difference between Manager Ros Robotics and Robotics Engineer lies in their focus: the Manager oversees teams and project management, requiring leadership skills, while the Robotics Engineer concentrates on designing and developing robotic systems with technical expertise.

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For Manager Ros Robotics jobs in Washington, the most frequently searched job titles are:

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Infographic showing various Manager Ros Robotics job openings in Washington as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Senior Software Engineer, Autonomy Behaviors (R4588)

Shield AI

Washington, DC

$160K - $240K/yr

Full-time

Re-posted 17 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

About The Team

The Autonomy Capabilities team at Shield AI has assembled a diverse team of experts in software, robotics, control systems, optimization, and data analysis to create software solutions that greatly evolve the capabilities of our customers. The team is responsible for developing autonomous behaviors within Shield AI’s industry-leading mission autonomy software stack and deploying them across a breadth of platforms, including the Anduril Fury, Northrup Grumman Talon, Shield AI V-Bat, and other first and third-party autonomous vehicles. We work in close coordination with specialist teams in software integration, hardware, and test engineering to solve some of the hardest problems facing our customers.

About the Job:
As a Senior Software Engineer, you’ll build and own autonomy behaviors that directly power our products, taking responsibility for key components from design through deployment. You’ll work across teams to turn complex mission needs into reliable, scalable software, balancing near-term delivery with long-term maintainability and performance. In this role, you’ll play a critical part in shaping how autonomy capabilities are designed, integrated, and evolved across our platforms.
What You'll Do:
  • Develop tactical autonomy software to enable unmanned platforms to perform complex missions across air, land, sea, and space domains with limited human supervision
  • Implement and test behaviors supporting multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios
  • Contribute across the software development lifecycle, including requirements, design, implementation, verification, and validation, following established engineering best practices
  • Collaborate with senior engineers to design and build scalable, maintainable software components that integrate with broader system architecture (e.g., sensor processing, state estimation, communications, and actuation)
  • Support reuse and extensibility of autonomy behaviors by contributing to shared frameworks and codebases
  • Work with internal product and program teams to deliver capabilities to vehicle platforms, helping ensure successful integration and iteration over time
  • Collaborate with cross-functional and external teams to align on interfaces and system requirements
  • Apply strong software engineering fundamentals to solve complex technical problems, while continuing to grow domain expertise in autonomy and robotics systems
  • Travel up to 20% to support integration, testing, and collaboration with end-users and partner teams
Required Qualifications:
  • BS/MS/PhD in Computer Science, Aerospace Engineering, Electrical Engineering, Robotics, Mechanical Engineering, or a related field
  • Proficient in production-level C++ software development
  • 5+ years' experience in one or more of the following: software sub-system scheduling and integration, behavior planning, task and resource allocation, motion planning, optimization, or flight controls
  • Experience with collaborative software development tools for version control, issue tracking, code reviews, release management
  • Ability to contribute to the design, development, and integration of complex software systems as part of a multi-disciplinary team
  • Demonstrated problem-solving skills and ability to learn new technologies in a fast-paced environment
  • Willingness to collaborate closely with teammates and support team objectives
  • Interest in growing technical skills and, over time, providing guidance to more junior engineers
  • Desire to work in a highly collaborative, fast paced, and mission-driven environment
  • Eligible to obtain and maintain an active U.S. Secret security clearance
Preferred Qualifications:
  • Experience working with systems at one or more technology readiness levels (TRLs), including supporting the maturation of research concepts toward operational use
  • Experience with mission systems integration, including participation in integration events, testing, or demonstrations
  • Experience in one or more of the following areas:
  • Collaborative mission planning, behavior planning, or coordinated teaming
  • Motion planning across different vehicle types or constraints
  • Sensor/target pairing, control strategies, or related autonomy functions
  • Safety systems such as collision avoidance or geofencing
  • Experience with robotic software ecosystems (e.g., ROS, OMPL, optimization tools)
  • Experience with simulation tools for testing and validation
  • Familiarity with navigation and communications systems
  • Experience contributing to portions of the product development lifecycle
  • Familiarity with systems engineering principles
  • Familiarity with high-assurance software practices (e.g., DO-178C or similar standards)
#LC
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Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.