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Senior Software Engineer - GPU Optimization

Ann Arbor, MI

Meet the team: 

At Torc Robotics, our Hardware Acceleration team builds the brains behind our autonomous trucks — turning cutting-edge research and perception into safe, reliable features that deliver on the promise of Level 4 autonomy. 

As a Senior Software Development Engineer, you’ll be a key contributor in developing and integrating new autonomy features into our real-time system — working across perception, prediction, planning, and control. You’ll help bring AI to life on the road by building high-performance, production-grade software that powers the decision-making of our autonomous platform. 

 
What you'll do: 

  • Design and implement robust software for real-time autonomous features such as lane changes, obstacle handling, or complex maneuvers 
  • Collaborate across domain teams (Perception, Planning, Prediction, etc.) to translate ML models and algorithms into integrated autonomy features 
  • Develop and maintain high-performance C++ codebases, ensuring low-latency, high-reliability execution onboard autonomous trucks 
  • Leverage CUDA and GPU acceleration to optimize runtime performance of feature pipelines and embedded inference workloads 
  • Write and integrate custom CUDA kernels or TensorRT plugins, when needed, to accelerate compute-heavy autonomy components 
  • Own feature pipelines from concept through deployment — including design, integration, testing, validation, and performance optimization 
  • Debug and resolve system-level issues in embedded environments, working closely with hardware acceleration, systems, and QA teams 
  • Participate in code reviews, design sessions, and sprint planning to drive engineering excellence and team alignment 
  • Contribute to platform evolution, bringing ideas for scalability, modularity, and reusability across the autonomy stack 

What you’ll need to Succeed: 

  • Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field or 8+ years of professional software development experience. 
  • Strong proficiency in modern C++ (C++14 or later), with a focus on clean, efficient, and maintainable code 
  • Experience in real-time system development, multi-threading, and performance profiling 
  • Hands-on experience with CUDA programming, GPU parallelization techniques, or deploying compute-intensive workloads on NVIDIA platforms 
  • Solid understanding of software integration practices, APIs, and modular architectures 
  • Comfort working in a collaborative development environment (Git, Jira, CI/CD, etc.) 
  • Excellent problem-solving and debugging skills, especially across complex software systems 

Bonus points! 

  • Familiarity with machine learning workflows and deploying ML-driven features in embedded environments 
  • Experience writing TensorRT plugins or integrating AI inference runtimes into production systems 
  • Knowledge of ROS, Linux, and hardware-in-the-loop (HIL) testing 
  • Exposure to deep learning frameworks (PyTorch, TensorFlow) and GPU-accelerated model deployment 
  • Contributions to open-source projects or prior work in embedded AI or AV platforms 

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

$160,800 - $193,000 USD

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