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 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. 

What you'll do: 

• Design and implement highly efficient deep learning models and algorithms optimized for NVIDIA GPUs
• Leverage data parallelism and CUDA programming to accelerate deep learning training and inference, achieving significant performance gains
• Stay abreast of the latest advancements in deep learning frameworks like TensorFlow and PyTorch, maximizing their potential on GPUs
• Collaborate with machine learning engineers to develop innovative and performant deep learning solutions
• Analyze and optimize deep learning workloads 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 GPUs
• 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