Staff Software Engineer

Summary

Join Torc Robotics, Inc. as a Staff Software Engineer and contribute to the development of autonomous driving technology. This fully remote position, open to US residents, focuses on ego-motion estimation and localization for self-driving trucks. You will execute the full software development lifecycle using modern C++, analyze and improve existing algorithms, define software requirements and architecture, and integrate software standards and safety requirements. The role requires domestic and international travel (up to 20% annually). Torc offers a competitive salary and a commitment to diversity and inclusion.

Requirements

• Master’s Degree in Robotics, Computer Science, Electrical Engineering, or a related engineering field and 3 years of experience in job offered or related
• Bachelor’s Degree in Robotics, Computer Science, Electrical Engineering, or a related engineering field and 5 years of experience in job offered or related
• Software design skills and proficiency in recent C++ standards
• Inertial navigation, GNSS, statistical estimation and/or sensor fusion
• Software development for resource-constrained embedded systems
• AUTOSAR Classic Platforms
• ISO 26262 functional safety standards

Responsibilities

• Execute full software development life-cycle activities using modern C++, including developing and releasing robust and reliable solutions to ego-motion estimation and localization problems
• Analyze and improve the current ego-motion estimation and localization algorithms, ensuring our self-driving vehicles have the best ego-motion and localization accuracy to drive safely and smoothly on the road
• Define software requirements, design software architecture, and develop robust verification strategies to guarantee the effective development and quality assurance of our software solutions
• Integration of software standards and safety requirements into the ego-motion estimation and localization software
• Improve how our vehicles act and react in complex and nuanced situations
• Contribute to performance benchmarking, tuning, and continuous improvement efforts to meet real-time constraints and increase system robustness
• Domestic and international travel is required, up to 20% per year