Senior Software Engineer - GPU Optimization en Torc Robotics

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