What are the responsibilities and job description for the Machine Learning Engineer I - App Engine (CUDA) position at Torc Robotics?
Meet the Team
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
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
US Pay Range
$132,400—$158,900 USD
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
- Develop and maintain components of the App Engine runtime and SDK supporting ML workloads on embedded GPUs.
- Assist in implementing message-passing and data handling between distributed compute nodes.
- Contribute to testing, debugging, and performance tuning of ML integration features.
- Work closely with senior engineers to learn and apply best practices in GPU programming and embedded ML deployment.
- Bachelor’s degree in Computer Science, Electrical Engineering, or related field with 0–4 years of experience, OR Master’s with 0–2 years, OR PhD with 0–2 years.
- Strong programming skills in C and familiarity with Linux development environments.
- Exposure to CUDA, GPU programming concepts, or machine learning frameworks (e.g., PyTorch).
- Eagerness to learn, contribute, and grow in an applied ML engineering environment.
- Internship or project experience involving distributed systems, GPU programming, or embedded software.
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
- 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
US Pay Range
$132,400—$158,900 USD
Salary : $132,400 - $158,900
