Full-Time
Torc Robotics
501-1,000 employees
Develops autonomous driving technology for trucks
Compensation Overview
$160.8k - $193k/yr
Senior, Expert
Ann Arbor, MI, USA
- Bachelor’s degree in Electrical Engineering, Computer Science, Computer Engineering, Electrical Engineering, or a related field engineering equivalent & 7+ years of relevant experience
- 3+ years of Engineering Management Experience
- Excellent communication and teamwork skills
- Deep knowledge of middleware frameworks (e.g. ROS1, ROS2, SOME/IP, AUTOSAR Adaptive, V2X, LCM etc.)
- Experience with open-source collaboration
- Strong proficiency in C++
- Experience with Linux
- Experience in the certification process of automotive products
- Ability to coach and thrive in an agile development environment
- Lead a team of seven software engineers
- Develop middleware solutions to support Torc’s autonomous software stack
- Work on enhancing open-source middleware frameworks for automotive applications
- Accountable and responsible for career development and coaching of the team
- Accountable and responsible for performance management of the team
- Accountable and responsible for ensuring continuous performance feedback is delivered and compensation analysis in close collaboration with peer managers and People Operations
- Customize existing open-source Ethernet-based middleware technologies such as ROS2 and SOME/IP
- Define and develop safety adjustments to the middleware technology
- Define and execute a release concept for the middleware technology
- Hands-on mentality: Despite your leadership role, you are not afraid to get involved in coding and debugging
- Experience with PCIe data transportation
- Experience with NVIDIA DriveOS
- Experience in safety-critical automotive systems and certification compliance
Torc Robotics develops software systems for self-driving trucks, focusing on Level 4 autonomous driving technology that allows vehicles to operate without human intervention in specific conditions. Their technology aims to enhance road safety and meet the growing demands of the freight transportation industry. Torc Robotics partners with major truck manufacturers, such as Daimler Trucks, and collaborates with companies like Luminar Technologies to integrate advanced sensors into their systems. They generate revenue by selling their software to truck manufacturers and fleet operators, as well as providing ongoing support and updates for their autonomous systems. The company's goal is to improve efficiency and safety in freight transportation through their autonomous vehicle solutions.
Company Size
501-1,000
Company Stage
M&A
Total Funding
N/A
Headquarters
Blacksburg, Virginia
Founded
2005
Simplify's Take
What believers are saying
- Collaboration with NVIDIA and Flex boosts AI compute system efficiency for autonomous trucks.
- Strategic focus on Texas leverages high freight traffic for commercial operations.
- Successful driverless test demonstrates potential for fully autonomous highway operations.
What critics are saying
- Increased competition from Waymo and Aurora may impact Torc's market share.
- Reliance on partnerships with Daimler and NVIDIA poses risks if partnerships dissolve.
- Regulatory changes could impact Torc's ability to deploy technology at scale.
What makes Torc Robotics unique
- Torc Robotics focuses on self-driving trucks, a niche within autonomous vehicles.
- Strategic partnership with Daimler Trucks enhances Torc's credibility and market reach.
- Torc's modular products allow rapid integration of robotic systems, reducing development time.
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Benefits
A competitive compensation package that includes a bonus component and stock options
100% paid medical, dental, and vision premiums for full-time employees
401K plan with a 6% employer match
Flexibility in schedule and generous paid vacation (available immediately after start date)
Company-wide holiday office closures
AD+D and Life Insurance
Company News
On March 18, Torc, the self-driving subsidiary of Daimler Trucks, announced its collaboration with Flex, a world-class provider of automotive-grade compute platforms, and NVIDIA to develop a scalable physical AI compute system for autonomous trucks.
Autonomous truck company Torc announced a collaboration with NVIDIA and Flex to develop a dedicated AI computer architecture that operates self-driving trucks.
Automated truck developer Torc has partnered with manufacturing company Flex and artificial intelligence specialist Nvidia to develop a scalable physical AI compute system for autonomous trucks, the company announced March 18.
by Max MaxfieldOn the one hand, the overly enthusiastic predictions for fully autonomous automobiles have, thus far, fallen somewhat behind schedule (sad face). On the other hand, it now looks like we will see fully autonomous trucks barreling down our interstate highways circa 2027 (happy face).The idea of autonomous automobiles has been around for longer than most people might think. For example, the concept of self-driving cars was showcased at the 1939 World’s Fair in New York as part of General Motor’s “Futurama” exhibit. This vision included automated highways and predicted autonomous cars “within the next 20 years.”As an aside, when Matt Groening and David X. Cohen created their animated series Futurama in 1999, they borrowed the name from the GM World’s Fair exhibit to reflect their show’s themes of futuristic technology and societal evolution.In 2004, the U.S. Department of Defense held the first DARPA Grand Challenge, sparking predictions that fully autonomous vehicles would be widely available “within the next 10 to 20 years.” (Didn’t someone just say that? It’s like déjà vu all over again!)And in 2015, whilst his attentions were still focused on advancing technology in the form of electronic vehicles and spaceships, the Tony Stark of irrational tweets (a.k.a
Looking ahead to 2027, Torc plans to launch commercial autonomous trucking operations in Texas.