Senior Software Engineer, Autonomy Capabilities – Maritime (R5339)
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Role Overview
Focusing on the maritime portfolio, you’ll be creating autonomy capabilities for USVs, UUVs, and cooperating UAVs that enable them to perform advanced single- and multi-agent teaming missions beyond conventional motion planning and waypoint following.
The functionality you add will enable teams to use their diverse payloads and maneuvering characteristics to search for, localize, and pursue targets while avoiding sensed threats and obstacles that pose a risk to platform safety.
In many of these applications, you’ll have the opportunity to build capabilities from the ground up and be the first to integrate them onto new platforms.
You’ll traditionally start with shorter-term R&D efforts or aligned customer programs but with the intent that successful efforts will grow into larger, multi-year programs.
As a Senior Engineer, you will develop and own major features from end-to-end, from design through operational deployment, and work closely with cross-functional teammates to achieve program goals.
You’ll also take an active role in mentoring more junior engineers and may directly interface in customers in limited capacities.
Full Job Posting
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 Job
Focusing on the maritime portfolio, you’ll be creating autonomy capabilities for USVs, UUVs, and cooperating UAVs that enable them to perform advanced single- and multi-agent teaming missions beyond conventional motion planning and waypoint following.
The functionality you add will enable teams to use their diverse payloads and maneuvering characteristics to search for, localize, and pursue targets while avoiding sensed threats and obstacles that pose a risk to platform safety.
In many of these applications, you’ll have the opportunity to build capabilities from the ground up and be the first to integrate them onto new platforms.
You’ll traditionally start with shorter-term R&D efforts or aligned customer programs but with the intent that successful efforts will grow into larger, multi-year programs.
As a Senior Engineer, you will develop and own major features from end-to-end, from design through operational deployment, and work closely with cross-functional teammates to achieve program goals.
You’ll also take an active role in mentoring more junior engineers and may directly interface in customers in limited capacities.
What You'Ll Do
Robust Motion Planning – Automate unmanned surface vehicle (USV) and/or unmanned underwater vehicle (UUV) maneuvering through advanced motion planning and adherence to safety constraints including keep-out volumes, cooperative and uncooperative vehicles, and depth limitations
Localization and Tracking – Employ cutting edge approaches for passive and active localization by defining fusion modalities, sensor requirements, and observability-aware maneuvering capabilities to maximize information gleaned from single- or multi-agent sensor networks
Safe Maritime Operations – Keep vehicle safety as a central focus within autonomous behavior architectures to provide run-time assurance, ensure COLREGS adherence, and build operator trust in advanced mission autonomy
Heterogeneous Multi-Agent Collaboration – Develop distributed optimization and task allocation approaches for heterogenous teaming in order to accomplish mission objectives by maximally utilizing the diverse capabilities of agents to overall team advantage
Rigorous Software Development – Develop high-performance software modules that are well-tested, have clear interfaces and span-of-control, and are ready for mid-to-high Technology Readiness Level (TRL) insertions
Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and operational test to ensure seamless integration of autonomy solutions on real-world platforms
Deployment & Test Support – Deploy autonomy capabilities to real surface vehicles, supporting integration and demonstration events as well as analysis of mission logs to verify software performance and validate system operational effect
R&D and Road-mapping – Contribute to autonomy roadmaps by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission
Travel Requirement – Members of this team typically travel around 25% of the year (to different office locations, customer sites, and flight integration events).
Required Qualifications
BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience
Typically requires a minimum of 10 years of related experience with a Bachelor’s degree; or 9 years and a Master’s degree; or 7 years with a PhD; or equivalent work experience
Proficiency in programming languages such as C++ and Python
Significant background in one or several robotic technology areas related to control systems, motion planning, optimization, tactical behaviors, and/or distributed decision-making
Significant experience with unmanned system technologies and accompanying algorithms (ideally in the maritime domain specifically)
Experience
with simulation tools and environments (e.g., AFSIM, NGTS, or similar) for testing and validation
Strong problem-solving skills, with the ability to troubleshoot and optimize system performance
Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment
Ability to obtain a SECRET clearance or higher
Preferred Qualifications
Experience in multiple domains (e.g., air, land, sea, space)
Experience
across a breadth of methodologies from classical control through optimization and applied ML/RL
Background in collaborative behaviors and swarm robotics
Familiarity with domain-relevant DoD or government programs
Hands-on experience supporting integration events, customer demos, and/or live exercises
Experience in applied research and development
Additional information
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.
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.
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