Torc Robotics is seeking a talented Machine Learning Engineer to join its innovative team and help advance the future of autonomous vehicle technology. This is an exciting opportunity for professionals passionate about artificial intelligence, machine learning, and robotics to work on cutting-edge solutions that power self-driving systems. Offering a competitive salary of up to $183,000 per year, Torc Robotics provides a collaborative environment where engineers can make a meaningful impact on the next generation of transportation technology.
Job Overview
| Field | Details |
|---|---|
| Company Name | Torc Robotics |
| Role | Machine Learning Engineer |
| Qualification | Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Robotics, Engineering, or a related field |
| Job Location | Fort Worth, Texas, United States |
| Salary | Up to $183,000 per year |
| Work Type | Hybrid / On-site (as per business requirements) |
| Job Type | Full-Time |
| Job Level | Entry Level – Junior Level |
| Industry | Autonomous Vehicles, Artificial Intelligence, Robotics |
Job Description
The mission of the Application Engine Team is to provide a robust, efficient, and flexible platform for integrating and managing various deep learning models and processes in the context of L4 autonomous trucking. It aims to streamline development workflows, enhance team efficiency, and ensure consistent performance and safety standards. The Application Engine focuses on facilitating the creation of scalable, reproducible, and safety-compliant components, enabling feature teams to efficiently develop and deploy advanced autonomous driving features.
What You’ll Do
- Development of a processing pipeline SDK capable of spanning multiple distributed System on a Chips using Ethernet, PCIe, and similar to move data through different processing stages.
- Optimization of concurrent usage of resources (Memory, GPU) for parallel execution of trained models on a single System on a Chip
- Development of a runtime environment, which uses the App Engine SDK to deploy machine learning based virtual driver applications.
- SDK Feature development to support the creation of Virtual Driver Software
- Support Virtual Driver Division with their usage of the Application Engine
- Creation of high-quality code including test case development
What You’ll Need to Succeed
- Bachelor’s degree in Computer Engineering, Electrical Engineering, or Software Engineering, Computer Science or advanced degree with 1-3 years experience
- Experience with Embedded Software Development, especially with a focus on GPUs
- Experience with TensorRT and CUDA
- Experience in the development of real-time distributed systems
- Profound knowledge of C++
- Familiarity with machine learning technologies (e.g. PyTorch)
- Experience with Linux
Bonus Points
- Experience developing SDK’s for complex embedded systems, especially those featuring GPUs or multiple SOCs.
- Experience in autonomous robotic or vehicle systems.
- Knowledge of computer architecture principles such as pipelining, memory hierarchy, locality, etc.
Selection Process
- Application Submission
- Resume Screening
- Technical Assessment
- Machine Learning & Coding Interview
- Technical Panel Interview
- Managerial/Team Interview
- Final Evaluation
- Offer Letter & Onboarding
How to Apply
- Visit the official Torc Robotics careers page.
- Search for the “ML Engineer” position in Fort Worth.
- Review the job description and eligibility requirements.
- Prepare and update your resume.
- Complete the online application form.
- Upload your resume and any required documents.
- Submit your application.
- Monitor your email for updates regarding the recruitment process.
