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Tesla Software Engineer ML Performance Dojo United States, California, Palo Alto
Understand and model the end-to-end training performance of the Autopilot SW team's Pytorch-derived neural networks on the Dojo system. Develop software that scales and improves training performance based on your...
Perform scaling law analyses on model size, data size, data mixture, training compute, and other critical parameters to optimize our AI models using the largest self-driving dataset in the world....
Plan, organize, direct and conduct industrialization related activities within the supply chain team. Develop, Manage, Audit, Improve and Correct supplier planning and execution of component manufacturing and assembly techniques and...
Develop and automate test and verification/validation involving building test suite from scratch to continuous regression using Matlab/Python/C and C++. Design, development, and analysis of system and software architectures for various...
Contribute to Supplier’s quotation review by acting as the Plastic Injection Moulding expert, facilitating the interpretation of technical requirements between Parties. Lead Supplier’s qualification assessment to ensure the ability to...
Train machine learning and deep learning models on a computing cluster for visual recognition & perception tasks, such as segmentation and detection and world representation applications. Develop state-of-the-art algorithms in...
Design and develop our learned robotic manipulation software stack and algorithms. Develop robotic manipulation capabilities including but not limited to (re)grasping, pick-and-place, and more dexterous behaviors to enable useful work...
Understand and model the end-to-end training performance of the Autopilot SW team's Pytorch-derived neural networks on the Dojo system. Develop software that scales and improves training performance based on your...
The quality engineer role in the tech industry is an incredibly important one – not just for Tesla, but for tech organizations as a whole. Quality engineers work to ensure products and services meet specific requirements for conformity, accuracy, and reliability. They are passionate about improving users' experiences with products and services through comprehensive testing, debugging, and validation. A good quality engineer should have strong analytical and problem-solving skills, as well as excellent skills in process/quality assurance practices and tools.
At Tesla, quality engineers are responsible for ensuring that products meet requirements in terms of safety, reliability, and customer satisfaction. Quality engineers are involved in the entire lifecycle of product development—from concept to production. They are also tasked with overseeing the selection of quality standards for design, development and production, and developing metrics and quality systems that ensure performance and accuracy, and maintain high levels of product quality. Quality engineers must also be able to identify, measure, and analyze issues quickly and accurately in order to ensure customers receive reliable and effective products.
The role of quality engineer is essential for any tech organization, as it helps to ensure that products and services are up to the expected standards, and that customers have a positive experience. As a quality engineer at Tesla, you would be part of a team dedicated to creating amazing products and ensuring the highest level of customer satisfaction. So, if you have exceptional problem-solving and analytical skills, and an eye for detail, why not apply to Expoint and join Tesla as a quality engineer today?