Senior, ML Engineer - Lidar / Radar Branch

Ann Arbor, Michigan, United States

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Torc Robotics

An AV leader since 2007, Torc is commercializing autonomous, self-driving trucks for safe, sustained innovation in the trucking industry.

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About the Company

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.   

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.   

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.  

Meet the Team 

Torc's Autonomy Applications software utilizes cutting-edge deep learning techniques to perceive the vehicle's environment, predict the movements of other vehicles, and execute accurate driving decisions.  We are seeking an experienced senior machine learning engineer to join our Lidar / Radar Branch team within the Feature Development department.  This is an exceptional opportunity for you to have a significant impact on the future of the autonomous vehicle industry by leveraging AI. 

What you'll do: 

Optimize lidar and radar-based ML models  

  • Collaborating with model development team to align on model interfaces and to ensure seamless integration. 
  • Fine-tuning and benchmarking of models
  • Utilizing data science techniques to analyze model performance, data distributions, and identify corner cases.  

Model Conversion, Deployment and Target Hardware Optimization  

  • Development of the model specific conversion, deployment and integration pipeline
  • Deploy machine learning models on edge devices, ensuring real-time performance and resource efficiency. 
  • Optimize inference pipelines for embedded and automotive-grade hardware platforms.  

Cross-functional Collaboration  

  • Collaborate with autonomy, software, and hardware engineering teams to ensure seamless integration of perception systems. 
  • Work with product and operations teams to define performance metrics and improve system reliability.  

Leadership  

  • Contributing to the feature development roadmap and providing strategic advice to technical leadership. 
  • Mentoring and guiding junior team members to enhance their technical skills and career growth.  

What you'll need to succeed: 

  • Bachelor's degree in computer science, data science, artificial intelligence or related field with 6+ years of professional experience or a master's degree with 4+ years of experience 
  • Deep understanding of machine learning for lidar or radar-based object detection and classification
  • Mastery of Python and one or more machine learning frameworks like PyTorch or Ray
  • Good understanding of C++
  • Track record of successfully building and shipping products containing ML models
  • Strong technical communication skills, written and verbal, that scale to a diverse workforce
  • Strong problem-solving skills and the ability to analyze and debug complex software defects 

Bonus Points: 

  • PhD in machine learning or data science 
  • Proficient in writing CUDA kernels and developing custom PyTorch operations.  
  • Experience with relevant NVIDIA libraries and frameworks, such as CUBLAS, CuDNN, and NPP  
  • Mastery of Ray  

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$177,300—$212,800 USD

At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.

Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

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Tags: Autonomous Driving Classification Computer Science CUDA cuDNN Deep Learning Engineering Lidar Machine Learning ML models PhD Pipelines Python PyTorch R Radar

Perks/benefits: 401(k) matching Career development Competitive pay Equity / stock options Health care Salary bonus

Region: North America
Country: United States

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