Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA
The Senior Machine Learning Engineer will contribute to the development of motion planning systems integrating machine learning and optimization methods. Responsibilities include algorithm development for autonomous driving, building scalable software infrastructure, and mentoring junior members. The role requires extensive experience in software development and deep learning frameworks.
The Principal Machine Learning Engineer will lead R&D initiatives for autonomous vehicles, focusing on solutions and processes for safe driving. Responsibilities include mentoring engineers, architecting solutions, driving business impact through technology, and pioneering research into machine learning algorithms.
The Principal Engineer will lead a team in building and maintaining large-scale data processing pipelines for autonomous vehicle logs, ensuring efficient data extraction, transformation, and access. Responsibilities include mentoring engineers, managing project timelines, and driving quality code reviews in a fast-paced environment.
As a Software Engineer, you will design and develop software for hardware-in-the-loop integration and regression testing, ensuring high quality and safety standards. Collaborate with teams to create meaningful documentation, unit tests, and achieve production goals.
Design and develop software for hardware-in-the-loop (HIL) integration and regression testing. Follow best engineering practices, write documentation, and develop unit tests. Collaborate with teammates to meet intermediate milestones while ensuring safety and security in software production.
The Software Engineer will design and develop software for hardware-in-the-loop integration and regression testing, ensuring high-quality production code through collaboration and adherence to best engineering practices. Responsibilities include writing documentation, developing tests, and working on complex systems with safety and security considerations.
The Senior Technical Program Manager will lead cross-functional teams to ensure successful execution of infrastructure programs within the robotics and autonomy domain. Responsibilities include managing projects, identifying risks, communicating progress, and proposing technical solutions to achieve organizational goals.
The Principal Engineer, Team Lead will lead a team focusing on building and maintaining large scale data processing pipelines for autonomous vehicles, ensuring scalable extraction and transformation of data, and overseeing project timelines and team mentorship.
The Principal Engineer will lead a team responsible for building and maintaining large scale data processing pipelines for autonomous vehicle logs, ensuring data extraction and transformation into consumable formats, overseeing project timelines, mentoring engineers, and engaging with stakeholders to align on design and operational usage.
As the Principal Team Lead for Embedded Software Controls, you will lead a team in developing autonomous vehicle control systems. Responsibilities include overseeing design, prototyping, testing, and deployment, providing technical leadership, mentoring team members, and collaborating with engineering and safety teams on requirements and project completion.
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