Wayve, founded in 2017, is at the forefront of autonomous vehicle technology, developing Embodied AI solutions that are revolutionizing the automotive industry. As a Software Engineer on the ML Platform team, you'll play a crucial role in building and maintaining the machine learning training infrastructure that powers our autonomous driving systems.
The position offers unique opportunities to work with cutting-edge technology, focusing on distributed training of large models and optimization of ML infrastructure. You'll collaborate directly with machine learning research engineers to enhance model efficiency and reduce training costs. The role involves working with sophisticated tools like NVIDIA NSight and managing thousands of GPUs for our driving simulator.
Wayve's culture emphasizes diversity, inclusion, and mutual respect, creating an environment where everyone's unique perspectives are valued. The company's mission to "create autonomy that propels the world forward" drives innovation in automated driving systems for automakers. They embrace challenging problems and maintain a learning-oriented mindset while pursuing excellence.
This role is perfect for experienced software engineers passionate about infrastructure and ML optimization. You'll have the opportunity to impact the future of autonomous driving while working with state-of-the-art technology and a talented team. The position offers growth opportunities, especially in model optimization and distributed systems, making it an ideal next step for those looking to advance their careers in ML infrastructure.