About the CompanyAt Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.

Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.Join us 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.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 GPUsLeverage data parallelism and CUDA programming to accelerate deep learning training and inference, achieving significant performance gainsStay abreast of the latest advancements in deep learning frameworks like TensorFlow and PyTorch, maximizing their potential on GPUsCollaborate with machine learning engineers to develop innovative and performant deep learning solutionsAnalyze and optimize deep learning workloads using profiling and optimization tools, identifying and eliminating performance bottlenecksContribute to the development of internal tools and libraries to further enhance deep learning performance on GPUsDocument your work clearly and concisely, sharing knowledge effectively with team membersWhat 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 flexibilityFamiliarity with object-oriented software design patterns, and their implementation in C+In-depth knowledge of CUDA programming and experience with optimizing deep learning kernelsExcellent 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 JiraAbility to adhere to company coding standardsProven dedication to writing production-quality code that is robust, efficient, portable, maintainable, and bug-freeBonus 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 NPPDeep 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 Hiring Range for Job Opening US Pay Range$177,300-$212,800 USDAt Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.

Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply. We're always looking for those that are hungry, humble, and people smart and your unique experience may be a great fit for this role or others