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
