Machine Learning Engineer, I - App Engine (CUDA)

Reposted 13 Days Ago
Be an Early Applicant
Ann Arbor, MI
Hybrid
132K-159K Annually
Senior level
Artificial Intelligence • Automotive • Robotics • Software • Transportation
The Role
Design and implement advanced software for GPU-based machine learning applications in autonomous driving, optimizing resource usage, and collaborating on feature integrations.
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

  • 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.

What You’ll Need to Succeed

  • 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.

Bonus Points:

  • Internship or project experience involving distributed systems, GPU programming, or embedded software.

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
$132,400$158,900 USD

Top Skills

C++14
Cuda
Gpu Programming
Linux
PyTorch
Tensorrt
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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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