Overland AI

3 months ago

Software Engineer, Autonomy Integration and Deployment

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Develop and deploy the OverDrive autonomy stack onto hardware for ground vehicles, lead field tests in challenging off-road environments, and collaborate with R&D and end-users to enhance autonomy capabilities and payload integrations. You’ll build deployment tools, diagnose issues with ROS/ROS2 in Linux, and bridge business development with engineering to deliver real-world autonomy solutions.

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Deploy the OverDrive autonomy stack onto hardware platforms for customers.
•Contribute to the autonomy stack by identifying gaps, proposing solutions, and implementing changes with cross-team collaboration.
•Design and develop tools to efficiently deploy the autonomy stack onto robotic vehicles.
•Lead field test campaigns to evaluate and demonstrate the autonomy stack on real platforms in off-road terrain.
•Bridge communication between business development and core R&D to deliver effective autonomy to customers.

Pay and Benefits

Salary: 140,000 - 300,000

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionPaid Leave401kParental LeaveEquity

Key Requirements

•Bachelor's, MS, or PhD in computer science, robotics, or related field
•Experience with robotics systems including ROS and ROS2
•Proficiency in C++ and Python in a Linux environment
•Ability to obtain and maintain a DoD security clearance and relocate to Seattle, WA
•Experience designing and developing tools to deploy robotics software on multiple vehicle platforms

Experience:RoboticsDefenseAutonomy

Education:Bachelor's

Skills:Analytical thinkingProblem-solvingCommunicationCollaboration

Languages:English

Tech Stack:C++PythonROSROS2LinuxDockerContainerization

Eligibility

Security Clearance:DOD

Company Brief

Overland AI

Develops AI-driven autonomous navigation, mapping, and perception solutions for off-road and overland vehicles, using sensor fusion and machine learning to enable safe, long-range autonomy and situational awareness in unstructured terrains.

Industry: Autonomous Vehicles

Website

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Overland AI

3 months ago

Software Engineer, Autonomy Integration and Deployment

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Seattle

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Deploy the OverDrive autonomy stack onto hardware platforms for customers.
•Contribute to the autonomy stack by identifying gaps, proposing solutions, and implementing changes with cross-team collaboration.
•Design and develop tools to efficiently deploy the autonomy stack onto robotic vehicles.
•Lead field test campaigns to evaluate and demonstrate the autonomy stack on real platforms in off-road terrain.
•Bridge communication between business development and core R&D to deliver effective autonomy to customers.

Pay and Benefits

Salary: 140,000 - 300,000

Equity and Bonus:Equity

Perks:Health InsuranceDentalVisionPaid Leave401kParental LeaveEquity

Key Requirements

•Bachelor's, MS, or PhD in computer science, robotics, or related field
•Experience with robotics systems including ROS and ROS2
•Proficiency in C++ and Python in a Linux environment
•Ability to obtain and maintain a DoD security clearance and relocate to Seattle, WA
•Experience designing and developing tools to deploy robotics software on multiple vehicle platforms

Experience:RoboticsDefenseAutonomy

Education:Bachelor's

Skills:Analytical thinkingProblem-solvingCommunicationCollaboration

Languages:English

Tech Stack:C++PythonROSROS2LinuxDockerContainerization

Eligibility

Security Clearance:DOD

Company Brief

Overland AI

Industry: Autonomous Vehicles

Website