Senior C++/Deep Learning Engineer, GPU Optimization

Summary

Join Torc and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.

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

Responsibilities

• 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

Benefits

• 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