Software Engineer, II – Annotation Automation

Company Overview

Option 1 (Focus on Technology and Partnership):

“Torc Robotics, a Daimler subsidiary, develops cutting-edge autonomous driving software for the trucking industry. We combine our expertise with industry-leading partnerships to revolutionize freight transportation, making roads safer and logistics more efficient.”

Option 2 (Focus on Mission and Impact):

“Torc Robotics, backed by Daimler, is dedicated to transforming the freight industry through autonomous trucking. Our mission is to enhance road safety and optimize goods transport by delivering a comprehensive autonomous software solution.”

Option 3 (Focus on Expertise and Innovation):

“Based in Blacksburg, Virginia, Torc Robotics specializes in autonomous software for the trucking sector. As part of Daimler, we’re at the forefront of developing highly automated trucks, driving innovation and efficiency in freight transportation.”

Option 4 (More concise):

“Torc Robotics, a Daimler company, provides autonomous software solutions for trucking, aiming to improve safety and efficiency in freight transport.”

Option 5 (Highlighting the goal of improving safety):

“Torc Robotics, in collaboration with Daimler, is developing autonomous trucking technology to make roads safer and freight transportation more efficient.”

About the Job

This job posting describes an opportunity to join Torc Robotics as an engineer on their Annotation Automation team. Here’s a breakdown of the key information:

Company Overview:

• Torc Robotics, a subsidiary of Daimler, focuses on developing autonomous driving software for heavy-duty trucks.
• They are pioneers in autonomous vehicle technology, with a history dating back to 2007.
• Their mission is to revolutionize freight transportation through automated trucking.

Team Focus:

• The Annotation Automation team is responsible for accelerating the creation of annotated datasets for machine learning models.
• This involves developing and deploying auto-labeling pipelines for 2D/3D object detection, tracking, fusion, and HD map creation.
• They utilize AWS for large-scale dataset processing.

Role Responsibilities:

• Learning and utilizing existing auto-labeling tools.
• Designing and implementing pipeline deployments.
• Optimizing pipeline performance.
• Producing annotations using automated pipelines.
• Contributing to the development and improvement of auto-labeling and augmentation tools.
• Participating in team meetings and technical discussions.
• Maintaining thorough documentation.
• Staying up to date on AI and cloud computing developments.

Required Qualifications:

• Master’s degree in Computer Science, Computer Engineering, Robotics, or a related field.
• At least 1 year of work experience.
• Strong coding skills.
• Solid understanding of data structures and algorithms.
• Advanced AWS skills.
• Expertise in cloud computing.
• Strong communication and problem-solving skills.

Preferred Qualifications (Bonus Points):

• Doctorate degree.
• Experience with SageMaker.
• Hands-on experience with deep learning and computer vision.
• Data centric AI experience.

Company Culture and Values:

• Torc Robotics emphasizes diversity and inclusion, promoting a welcoming environment for all employees.
• They encourage applications from individuals with diverse backgrounds and experience levels.
• They value people who are hungry, humble, and people smart.

Key Takeaways:

• This role requires a strong technical background in computer science and cloud computing.
• Experience with machine learning and computer vision is highly valued.
• Torc Robotics offers a dynamic and innovative work environment.
• Torc is an Equal Opportunity employer.
  

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