ML Engineer, II - Lidar/Radar
@ Torc Robotics

Ann Arbor, Michigan, United States
On Site
Posted 9 days ago

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Job Details

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.
  • Collaborate with model development team on interfaces.
  • Fine-tune and benchmark models.
  • Analyze model performance and identify corner cases.
  • Develop deployment and integration pipeline for models.
  • Deploy ML models on edge devices for real-time performance.
  • Optimize inference pipelines for hardware platforms.
  • Collaborate with cross-functional engineering teams.
  • Work with product teams to define performance metrics.

What you'll need to succeed:

  • Bachelor's degree with 4-6 years of experience.
  • Deep understanding of ML for lidar or radar.
  • Proficiency in Python and ML frameworks.
  • Good understanding of C++.
  • Track record of shipping products with ML models.
  • Strong communication skills across teams.
  • Problem-solving skills for complex issues.

Bonus Points:

  • PhD in machine learning or data science.
  • Experience writing CUDA kernels.
  • Knowledge of NVIDIA libraries and frameworks.
  • Mastery of Ray.

Hiring Range for Job Opening

US Pay Range: $153,200—$183,800 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, sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.

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

How to Get Hired at Torc Robotics

🎯 Tips for Getting Hired

  • Research Torc Robotics: Understand the company's vision and mission, alongside its core technologies.
  • Customize your resume: Highlight relevant skills in ML and Lidar/Radar technologies.
  • Showcase your projects: Include practical examples of machine learning models you have deployed.
  • Prepare for technical interviews: Practice coding challenges and ML problem-solving scenarios.
  • Follow up: Send a thank-you email post-interview expressing your interest.

📝 Interview Preparation Advice

Technical Preparation

Review latest ML frameworks like PyTorch and Ray.
Practice deploying ML models on edge devices.
Familiarize with Lidar and Radar technologies.
Work on projects involving CUDA optimization techniques.

Behavioral Questions

Prepare examples of collaborative team projects.
Reflect on overcoming technical challenges in the past.
Think about how to handle conflicting team opinions.
Consider how you adapt to new technologies quickly.

Frequently Asked Questions