Senior C++ Deep Learning Engineer, GPU Optimization

April 12

Torc Robotics

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Leading autonomous vehicle technology since 2007, Torc develops automated Level 4, Class 8 trucks with Daimler.

autonomous vehicles • automotive autonomy • self-driving cars • autonomous mobility • autonomous trucks

501 - 1000

Description

• Torc's virtual driver 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 actively seeking a highly experienced senior engineer to lead the optimization of advanced deep learning applications. This is an exceptional opportunity for you to have a significant impact on the future of the autonomous vehicle industry by enhancing AI performance.

Requirements

• Bachelor's degree in computer science, data science, artificial intelligence, or related field with 6+ years of professional experience or a master's degree with 3+ years of experience • Mastery of Modern C++ (14 or more recent) and Python, with the ability to write efficient and maintainable code for both performance and flexibility • Familiarity with object-oriented software design patterns, and their implementation in C++ • In-depth knowledge of CUDA programming and experience with optimizing deep learning kernels • Excellent understanding of parallel computing (GPGPU) and high-performance (HPC) concepts • Excel at working in a highly collaborative environment • Familiarity with AGILE development practices • Comfortable using collaborative development tools such as Git and Jira • Ability to adhere to company coding standards • Proven dedication to writing production-quality code that is robust, efficient, portable, maintainable, and bug-free • Bonus points: PhD with 1+ years of experience, Experience working on safety critical systems, Experience with other relevant NVIDIA libraries and frameworks such as CUBLAS, CuDNN, and NPP, Deep Learning frameworks such as TensorFlow, PyTorch, or Caffe

Benefits

• A competitive compensation package that includes a bonus component and stock options