Motional
Senior Software Engineer, Next Gen Compute
Motional, Pittsburgh, Pennsylvania, United States, 15201
Senior Software Engineer, Next Gen Compute
Motional's CORE team is responsible for our vehicle's CORE environment. We are creating a world leading AI compute platform for autonomous vehicles. This is the system that executes the software and neural networks that make our vehicles autonomous. The Next-Gen Technologies team is part of CORE. We work at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional's on-board vehicle architecture. If you are a software engineer and love the idea of working on embedded AI hardware and software systems to create the next generation of autonomous vehicles, we would love to talk with you. As a senior engineer in the Next-Gen Technologies team, you will help us improve the compute performance of our current generation and next-generation autonomous driving systems through participating in full lifecycle development from idea to proofs-of-concept to production. Specifically, you will: Focus deeply on ML model deployment, integration of multiple ML models, and ML model optimization on embedded compute platforms. Dive deep into the full ML software stack. Analyze ML workload performance on a variety of hardware processors, optimize ML models, improve ML software, and help us continually improve our stack through the application of efficient and effective ML approaches. Design, develop, test, integrate, and optimize software and tools on a variety of ML compute architectures. Collaborate with deep learning experts in perception, prediction, and other autonomous driving application areas to enable algorithms on GPU, NPU, and other ML accelerator architectures. Optimize the utilization of GPU/NPU resources and sharing of GPU/NPU access across multiple programs running on the same system. Lead designs to determine the needs of the system and how to best meet those needs through continually improving our ML software stack. Advise peers and management on technical matters. What we're looking for: Experience with machine learning accelerators, including GPUs, NPUs, and their programming environments, including CUDA, TensorRT, or similar technologies. Strong experience with modern C++ development in a Linux environment. Experience with parallel and high-performance computing. Comfortable with experimentation and evaluating different options as we work towards finding solutions that work. A degree in Software Engineering, Computer Science, Electrical or Electronic Engineering, or similar technical field of study, or you have equivalent knowledge gained through your practical experience. Preferred, but not required: Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. Experience with embedded systems development for ARM-based system-on-chip architectures. Experience working in a MLOps or DevOps environment. Passion for self-driving technology and its potential for positive impact on the world. Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia.
Motional's CORE team is responsible for our vehicle's CORE environment. We are creating a world leading AI compute platform for autonomous vehicles. This is the system that executes the software and neural networks that make our vehicles autonomous. The Next-Gen Technologies team is part of CORE. We work at the intersection of software engineering, machine learning, sensors, and hardware compute platforms to evolve Motional's on-board vehicle architecture. If you are a software engineer and love the idea of working on embedded AI hardware and software systems to create the next generation of autonomous vehicles, we would love to talk with you. As a senior engineer in the Next-Gen Technologies team, you will help us improve the compute performance of our current generation and next-generation autonomous driving systems through participating in full lifecycle development from idea to proofs-of-concept to production. Specifically, you will: Focus deeply on ML model deployment, integration of multiple ML models, and ML model optimization on embedded compute platforms. Dive deep into the full ML software stack. Analyze ML workload performance on a variety of hardware processors, optimize ML models, improve ML software, and help us continually improve our stack through the application of efficient and effective ML approaches. Design, develop, test, integrate, and optimize software and tools on a variety of ML compute architectures. Collaborate with deep learning experts in perception, prediction, and other autonomous driving application areas to enable algorithms on GPU, NPU, and other ML accelerator architectures. Optimize the utilization of GPU/NPU resources and sharing of GPU/NPU access across multiple programs running on the same system. Lead designs to determine the needs of the system and how to best meet those needs through continually improving our ML software stack. Advise peers and management on technical matters. What we're looking for: Experience with machine learning accelerators, including GPUs, NPUs, and their programming environments, including CUDA, TensorRT, or similar technologies. Strong experience with modern C++ development in a Linux environment. Experience with parallel and high-performance computing. Comfortable with experimentation and evaluating different options as we work towards finding solutions that work. A degree in Software Engineering, Computer Science, Electrical or Electronic Engineering, or similar technical field of study, or you have equivalent knowledge gained through your practical experience. Preferred, but not required: Experience with PyTorch, TensorFlow, ONNX, and/or other ML frameworks. Experience with embedded systems development for ARM-based system-on-chip architectures. Experience working in a MLOps or DevOps environment. Passion for self-driving technology and its potential for positive impact on the world. Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia.