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Path Autonomy Engineer

Ocean Aero, Inc.
Gulfport, MS

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Job Details

Full-time
4 days ago

Benefits

Health savings account
Health insurance
Dental insurance
401(k)
Flexible spending account
Tuition reimbursement
Paid time off
Employee assistance program
Vision insurance
Flexible schedule
Life insurance
Referral program
Retirement plan

Qualifications

Software engineering
Engineering development testing
Marine navigation systems
Tooling
Bachelor of Science
Data structures
Route planning
C++
Bachelor's degree
Application design
Design engineering
Transportation modeling
Implementing route optimization projects
Linux
Graphs (data structure)
Model evaluation
Python
Cross-functional communication
Engineering validation

Full Job Description

About Ocean Aero:

Ocean Aero is an award-winning US company that has created the world’s first and only environmentally powered Autonomous Underwater and Surface Vehicle (AUSV.) Ocean Aero’s autonomous marine robot, the Triton, operates exclusively on wind and solar energy and performs long endurance missions on the ocean surface with the ability to dive below the waves for underwater operations. The Triton uses a complex array of custom-built sensors, marinized electronics and software systems to operate, sense and communicate in the environment.

Ocean Aero has a collaborative culture with plenty of opportunities for growth and ownership, and comprehensive benefits.

Role Description:

The Path Autonomy Engineer will be responsible for designing, developing, simulating, and documenting Ocean Aero's path autonomy and mission recommendation software. The role will focus on Global Path Autonomy: chart ingestion, route planning, cost functions, Monte Carlo Tree Search, and simulation-based mission evaluation. The Path Autonomy Engineer will be working alongside a team of creative engineers with a diverse set of backgrounds and skills. This role will report to the Chief Technology Officer.

Role Responsibilities:

Design Global Path Autonomy for route planning across surface and subsurface missions
Build simulation and modeling tools for vehicle behavior, uncertainty, and planner performance
Develop cost functions for safety, energy, time, risk, geofences, bathymetry, weather, and mission goals
Implement route-planning algorithms, including graph search, optimization, and Monte Carlo Tree Search
Ingest charts, bathymetry, restricted areas, maritime rules, and geofences into Global Path Autonomy maps
Generate mission recommendations, route alternatives, and decision-support outputs
Validate autonomy behavior in simulation, hardware-in-the-loop, and field environments
Collaborate across software, autonomy, vehicle systems, and operations teams on build/test demonstrations
Create planner metrics, improve mission recommendation quality, and maintain technical documentation

Role Requirements:

B.S. from an accredited university, such as Computer Science, Software Engineering, Mathematics or Physics
Demonstrated 3+ years' experience in software development/engineering
Hands-on experience with route/path planning methods, including graph-based, sampling-based, optimization-based, or tree-search approaches, cost maps, dynamic replanning, and cost-function design
Strong foundation in algorithms and data structures, with proficiency in C++ and Python on Linux-based operating systems and command-line workflows
Experience building simulation, modeling, evaluation, and test tooling to validate autonomy behavior, planner performance, and mission recommendation quality
Experience ingesting geospatial, nautical chart, bathymetry, environmental, or operational data into planning maps, constraints, and decision-support tools
Excellent cross-department communication skills
Ability to think independently about creative solutions to design problems
Experience with sailing is a plus
Team player, with excellent verbal, written, and presentation skills
Ability to travel occasionally, as needed
US Citizenship required
Ability to obtain and maintain a US Department of Defense (DoD) Security Clearance
Possess a valid Transportation Worker Identity Credential (TWIC) or successfully pass the requirements to obtain one
Ability to pass drug screen, background check, and motor vehicle screening

Role Preferences:

Experience in maritime operating environments, including currents, wind, bathymetry, COLREGs, vessel traffic, port operations, and MPA/EEZ geofencing
Experience with Monte Carlo Tree Search, heuristic search, multi-objective optimization, risk modeling, or recommendation systems
Exposure to global/local planner architectures, planner-to-controller handoff, MPC, LQR, or trajectory optimization
Experience with chart standards or geospatial data sources such as ENC, S-57/S-101, AIS, bathymetry, or routing/weather data
Experience with the marine environment and systems, including ROVs, UUVs, USVs or sail boats is a definite plus; general interest in robotics

Benefits:

401(k)
Dental insurance
Employee assistance program
Flexible schedule
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Referral program
Retirement plan
Tuition reimbursement
Vision insurance

Application Question(s):

This position is 100% on-site and is not eligible for remote or hybrid work. Are you able to work on-site full-time?

Work Location: In person

Quick Apply

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