Skip to content
Software Engineer 2
| Company | Torc Robotics |
|---|
| Location | Blacksburg, VA, USA |
|---|
| Salary | $122300 – $183500 |
|---|
| Type | Full-Time |
|---|
| Degrees | Bachelor’s, Master’s |
|---|
| Experience Level | Mid Level, Senior |
|---|
Requirements
- Master’s degree or foreign equivalent in Computer Engineering, Mechanical Engineering, Robotics, or related software engineering technical field with 2 years of experience in an occupation related to autonomy robotic algorithm software development and testing, or alternatively Bachelor’s degree or foreign equivalent in Computer Engineering, Mechanical Engineering, Robotics, or related software engineering technical field with 5 years’ of experience in an occupation related to autonomy robotic algorithm software development and testing in lieu of the Master’s degree.
- Experience must include relevant autonomy robotic algorithm software architecting and design experience.
- Code and unit test of autonomy algorithms for application within embedded application.
- C++ and Python software development and unit testing in Linux environment.
- ROS (Robot Operating System).
- Linux development tool chains.
- Design and test autonomy algorithms in simulation environment.
- AWS (Amazon Web Services).
- Basic control theory.
Responsibilities
- Responsible for various software development and engineering activities supporting the delivery of autonomy algorithm software to the overall system solution within the autonomy software algorithms components.
- Perform software development activities to include, but not limited to, software architecture, design, coding, unit testing, integration, deployment, and maintenance.
- Execute full software development lifecycle activities using primarily C++ skills in Linux development environment using Lean-Agile methodologies.
- Develop, implement, and assess autonomy algorithms focusing on behavior processing, path planning, active sensing, information fusion, localization, motion estimation, sensor software development, and fundamental control theory.
- Design and build deep neural network algorithms that use Radar, Lidar and camera images to achieve Level 4 autonomous system.
- Build imaging pipeline which includes researching novel image processing approach, developing the algorithm and make it production ready.
- Design and evaluate motion control algorithms to enhance vehicle behavior across diverse driving scenarios, leveraging insights from behavior planning systems for autonomous vehicles.
- Assist in using signal processing research to improve the Radar data to better identify objects on the road.
- Refine motion control and path planning algorithms, crafting decision-making software for autonomous driving governance, evaluating algorithmic performance on Torc’s automated vehicles, and integrating new functionalities to align with operational objectives.
- Support the team in identifying daily assignments and reporting progress at daily stand ups and support software and system level test plans and verification strategies to support ongoing feature development and bug fixes.
- Design and implement systems responsible for data acquisition and analysis from remote vehicles in the field.
- Ensure software updates do not regress the software performance by utilizing simulation software and scenarios.
Preferred Qualifications
No preferred qualifications provided.
