ML Engineer, II - Lidar/Radar
@ Torc Robotics

Ann Arbor, Michigan, United States
$170,000
On Site
Full Time
Posted 29 days ago

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Job Details

About Torc Robotics

At Torc, we believe autonomous vehicle technology will transform how we travel, move freight, and do business. A leader since 2007 and now part of the Daimler family, Torc is focused on developing software for automated trucks.

Meet the Team

Torc's Autonomy Applications software uses deep learning techniques to perceive the vehicle's environment, predict other vehicles' movements, and execute driving decisions. As a senior machine learning engineer in the Lidar/Radar Branch within the Feature Development department, you will shape the future of autonomous vehicles using AI.

What you'll do

  • Optimize Lidar and Radar-based ML models.
  • Collaborate with model development teams for seamless integration.
  • Fine-tune and benchmark models using data science techniques.
  • Develop model conversion, deployment, and integration pipelines.
  • Deploy ML models on edge devices ensuring real-time performance.
  • Optimize inference pipelines for embedded and automotive-grade platforms.
  • Work cross-functionally with autonomy, software, and hardware teams.
  • Define performance metrics with product and operations teams.

What you'll need to succeed

  • Bachelor's in computer science, data science, AI or related field with 4-6+ years experience, or a Master's with 2-4+ years.
  • Deep understanding of ML for lidar or radar-based object detection and classification.
  • Proficiency in Python and frameworks like PyTorch or Ray.
  • Good understanding of C++ with a track record of shipping ML products.
  • Strong technical communication and problem-solving skills.

Bonus Points

  • PhD in machine learning or data science.
  • Experience with writing CUDA kernels and custom PyTorch operations.
  • Familiarity with NVIDIA libraries (CUBLAS, CuDNN, NPP) and mastery of Ray.

Compensation

US Pay Range: $153,200—$183,800 USD.

Inclusivity

At Torc, we celebrate diversity and encourage applications even if you don’t meet 100% of the qualifications. Join us to pioneer autonomous technology.

Key skills/competency

  • autonomous
  • machine learning
  • lidar
  • radar
  • Python
  • PyTorch
  • C++
  • data science
  • edge deployment
  • CUDA
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How to Get Hired at Torc Robotics

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to autonomous vehicle ML requirements.
  • Highlight Python & C++: Emphasize technical proficiencies in your CV.
  • Practice model optimization: Review ML deployment best practices.
  • Prepare for cross-functional interviews: Understand collaboration in tech teams.

📝 Interview Preparation Advice

Technical Preparation

Review Python ML libraries.
Practice C++ code optimization.
Study PyTorch model deployment.
Benchmark model performance techniques.

Behavioral Questions

Describe a cross-team project experience.
Explain handling challenging ML problems.
Discuss conflict resolution in tech teams.
Share examples of complex decision-making.

Frequently Asked Questions