Top Software Engineer Jobs
As a Software Engineer for the Data Platform, you will design and develop scalable systems for data management, focusing on data ingestion, processing, and storage. Responsibilities include ensuring system reliability, collaborating with stakeholders, and improving backend features to support data-driven products.
As a Senior Software Engineer, you will design components and services for new feature developments in the asset monitoring team. You will implement scalable architecture, work on AWS cloud infrastructure, and collaborate with cross-functional teams to provide real-time visibility into company's assets.
As a Software Engineer in MLOps, you will design and implement MLOps infrastructure for AI/ML pipelines, develop and enforce best practices, and work collaboratively across teams to ensure effective deployment and monitoring of services. You will also mentor junior engineers to foster their career development.
Database Engineer at Motive responsible for designing and implementing high availability database architecture in AWS, monitoring and optimizing database performance, collaborating with developers on query optimization, automating routine database tasks, managing database security, and more. Requires 5+ years of PostgreSQL experience and expertise in AWS database services.
As a Software Engineer - Vision at Motive, you will work on building technology to understand driving behavior, identify risk factors, and suggest coachable events to improve fleet safety. You will design and implement complex computer vision systems, optimize algorithms for real-time performance, and collaborate with cross-functional teams to deliver end-to-end product features.
As a Software Engineer - Big Data at Motive, you will design and develop scalable data management systems, focusing on fault tolerance and high availability. You will enhance ETL frameworks, collaborate with cross-functional teams, and participate in the complete software development lifecycle from design to delivery.
Develop and deploy cutting-edge AI solutions for fleet safety and Dashcams. Collaborate with cross-functional teams to design scalable solutions and lead code reviews. Requires 2-4+ years of machine learning experience and a degree in computer science or related field.
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