Robotics Software Engineer
Perception
Posted on 2/7/2024
INACTIVE
Robotic Research

201-500 employees

Autonomous driving tech for complex terrains
Company Overview
RRAI stands out in the autonomous vehicle industry with its AutoDrive technology, which has been uniquely tailored and tested for challenging driving conditions not typically addressed by competitors, such as off-road and industrial environments. The company's competitive edge is further solidified by its successful application of military-grade autonomous solutions to the commercial sector, ensuring a high level of safety and reliability across various vehicle types. RRAI's commitment to both advanced driver-assistance and full SAE Level-4 automation positions it as a leader in providing versatile and robust autonomous driving solutions for defense and commercial use.
Industrial & Manufacturing
Robotics & Automation
Aerospace

Company Stage

Series A

Total Funding

$248.6M

Founded

2002

Headquarters

Clarksburg, Maryland

Growth & Insights
Headcount

6 month growth

-6%

1 year growth

6%

2 year growth

6%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Structures & Algorithms
Docker
CategoriesNew
AI & Machine Learning
Mechanical Engineering
DevOps & Infrastructure
Software Engineering
Requirements
  • Strong programming experience in modern C++ and Python
  • Experience with ROS (either ros1 or ros2)
  • Experience with Docker
  • Experience with camera sensors
  • Familiarity with NVIDIA Jetson family of devices
  • Experience writing and fielding perception algorithms
  • Hands-on experience with robotics
  • Strong experience working on a software development team
  • Ability to write clean, maintainable code and documentation
  • BS in computer science or a related field, or equivalent amount of relevant industry experience
  • 4+ years of industry experience
Responsibilities
  • Maintain and improve existing on-robot machine vision pipelines including builds, test, deployment, and monitoring
  • Update pipelines to incorporate new and evolving perception algorithms
  • Support optimization and deployment of machine learning algorithms on-vehicle
  • Support integration for new testing and simulation functionality
  • Drive a culture of software quality and reliability in support of scaled production
  • Support the proposal, planning, and execution of improvements to the existing camera software stack
Desired Qualifications
  • Experience with test driven development in a continuously-integrated environment
  • Experience with TensorRT or NVIDIA Triton
  • Experience with conan package manager and cmake build tools
  • Experience with other robotic perception sensors like lidars, radars, or IR cameras
  • Experience in production autonomous ground vehicles is a plus