Senior C++/Deep Learning Engineer, GPU Optimization

Meet the team 

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 join the hardware acceleration team. This is an exceptional opportunity for you to have a significant impact on the future of the autonomous vehicle industry by enhancing AI performance. 

What you'll do: 

• 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 

What you’ll need to Succeed: 

• 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 

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