Senior C++ Engineer, Deep Learning, GPU Optimization

6 days ago

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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

• Optimize machine learning inference models for NVIDIA Orin execution • Leverage data parallelism and CUDA programming • Implement tensorrt plugins • Stay abreast of the latest advancements in PyTorch, maximizing their potential for target hardware execution • Collaborate with machine learning engineers to develop innovative and performant deep learning solutions • Analyze and optimize deep learning inference using profiling and optimization tools, identifying and eliminating performance bottlenecks • Contribute to the development of internal tools and libraries to further enhance deep learning performance on the target hardware • Document your work clearly and concisely, sharing knowledge effectively with team members

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 • 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 • 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