Machine Learning Engineer II - App Engine (CUDA/C++)

Reposted 12 Days Ago
Ann Arbor, MI
Hybrid
153K-184K Annually
Mid level
Artificial Intelligence • Automotive • Robotics • Software • Transportation
The Role
The Machine Learning Engineer II will optimize ML model execution on GPU platforms, develop App Engine SDK features, and ensure code quality.
Summary Generated by Built In

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

  • 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.

What You’ll Need to Succeed

  • 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.

Bonus Points:

  • Familiarity with PCIe, Ethernet-based interconnects, or embedded device programming.
  • Familiarity with and at least one ML framework (e.g., PyTorch).

Perks of Being a Full-time Torc’r 

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

Top Skills

C++
Cuda
Linux
Ml Frameworks
PyTorch
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The Company
HQ: Blacksburg, VA
500 Employees
Year Founded: 2005

What We Do

Torc Robotics is an independent subsidiary of Daimler Truck AG, a global leader and pioneer in trucking. Founded in 2005 at the birth of the self-driving vehicle revolution, we have 17 years of experience in pioneering safety-critical, self-driving applications. Torc offers a complete self-driving vehicle software and integration solution and is currently focusing on commercializing self-driving trucks.

Why Work With Us

Every Torc’r is unique. The traits that define and motivate us to save lives are what unite us. At Torc, we recognize that technical prowess is only part of the equation. Our team includes people with a consistent drive to accomplish great things. We look for those who don’t let ego get in the way of teamwork.

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