About Aeva
Revolutionizing perception technology for autonomous systems
Key Highlights
- Pioneering 4D LiDAR-on-Chip technology for self-driving cars
- $48.5 million in funding from leading investors
- Headquartered in Mountain View, CA with 201-500 employees
- Competing with major players like Tesla in automated driving
Aeva, headquartered in Mountain View, CA, is pioneering sensory perception technology with its groundbreaking 4D LiDAR-on-Chip, enabling advanced applications in automated driving, industrial robotics, and consumer electronics. With $48.5 million in funding, Aeva aims to revolutionize the self-drivi...
🎁 Benefits
Aeva offers comprehensive medical, dental, and vision coverage, along with wellness benefits from providers like Gympass and Headspace. Employees enjo...
🌟 Culture
Aeva fosters a culture of innovation focused on solving complex challenges in automated driving. The company values diversity and inclusion, believing...
Software Engineering
Aeva • Mountain View - On-Site
Skills & Technologies
Overview
Aeva is hiring a Software Engineer (Data & ML) to own data collection and build production-grade ML pipelines. You'll work with MLOps workflows and collaborate with cross-functional teams in Mountain View, CA.
Job Description
Who you are
You have a strong background in data engineering and machine learning, with experience in building scalable data systems and MLOps workflows. You understand the intricacies of data collection and are passionate about deploying machine learning models in production environments. Your ability to work cross-functionally with various teams, including perception and operations, allows you to effectively contribute to the development of reliable ML pipelines.
You are detail-oriented and have a knack for problem-solving, which helps you navigate the complexities of data systems. Your experience with data collection methods and scalable architectures enables you to design efficient solutions that meet the needs of diverse applications. You thrive in collaborative environments and enjoy working with teams to achieve common goals.
What you'll do
In this role, you will take ownership of data collection processes and ensure that data systems are scalable and efficient. You will collaborate with perception, operations, and labeling teams to build fast and reliable ML pipelines that support Aeva's mission of transforming autonomy. Your responsibilities will include designing and implementing MLOps workflows, deploying machine learning models, and ensuring that the data infrastructure is robust and capable of handling large volumes of data.
You will also be involved in optimizing data workflows and improving the overall efficiency of data processing. By working closely with cross-functional teams, you will help to integrate machine learning capabilities into various applications, from automated driving to consumer electronics. Your contributions will play a crucial role in advancing Aeva's groundbreaking sensing and perception technology.
What we offer
At Aeva, you will be part of a dynamic team that is at the forefront of innovation in the field of autonomy. We offer a collaborative work environment where your ideas and contributions are valued. You will have the opportunity to work on cutting-edge technology that has the potential to impact a wide range of industries. We encourage you to apply even if your experience doesn't match every requirement, as we believe in fostering a diverse and inclusive workplace.
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