What are the responsibilities and job description for the Machine Learning Engineer, II - 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:
Hiring Range for Job Opening
US Pay Range
$153,200—$183,800 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
- Implement and optimize software components supporting distributed execution of ML models on embedded GPU platforms.
- Contribute to message-passing, resource management, and runtime feature development for the App Engine SDK.
- Profile and optimize GPU utilization, reducing latency and maximizing throughput for ML workloads.
- Collaborate with feature teams to integrate and validate App Engine functionality in vehicle and simulation environments.
- Maintain clean, efficient C code and unit/integration tests.
- Bachelor’s degree in Computer Science, Electrical Engineering, or related field with 4 years of experience, OR Master’s with 2 years, OR PhD with 1 years.
- Proficiency in C (C 14 or newer) and Linux development.
- Hands-on experience with CUDA
- Understanding of parallel programming, GPU acceleration, or real-time systems.
- Strong problem-solving skills and ability to collaborate in a fast-paced environment.
- Familiarity with PCIe, Ethernet-based interconnects, or embedded device programming.
- Familiarity with and at least one ML framework (e.g., PyTorch).
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
Hiring Range for Job Opening
US Pay Range
$153,200—$183,800 USD
Salary : $153,200 - $183,800