TORC Robotics
Senior Software Engineer - GPU Optimization
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: 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
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: 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