Senior Software Engineer, Data Core

As a Senior Software Engineer specializing in Data Core at Latitude AI, you will be tasked with designing, developing, and maintaining software that processes and curates large volumes of vehicle log data. This includes collaborating with various teams to implement effective software solutions and improving build, test, and deployment processes, ensuring the reliability and efficiency of data ingestion from autonomous vehicle platforms.

To qualify for the Senior Software Engineer, Data Core role at Latitude AI, you should have a Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, or a related field, with 4+ years of relevant experience. Alternatively, a Master's degree with 2+ years of experience or a PhD is also acceptable. Proficiency in languages such as Java, Kotlin, and Python, as well as knowing tools like AWS and Terraform, is crucial.

The Data Core team at Latitude AI plays a vital role in autonomous vehicle development by managing the offloading and processing of substantial data from development and production vehicle platforms. By creating reliable data pipelines, the team ensures that various operational teams have access to high-quality data, allowing them to optimize the behavior and performance of autonomous vehicles.

Candidates applying for the Senior Software Engineer, Data Core position at Latitude AI should be familiar with programming languages such as Java, Kotlin, and Python. Additionally, experience with cloud technologies like AWS, along with tools such as Terraform and Kubernetes, is highly beneficial for success in this role.

Latitude AI offers an attractive benefits package for Senior Software Engineers, including competitive salaries, comprehensive medical, dental, and vision insurance, a 401(k) retirement plan with employer matching, unlimited vacation, paid parental leave, and many other perks designed to support work-life balance and professional development.

When answering this question, it's essential to emphasize any specific projects where you've dealt with large volumes of data, detailing the technologies and strategies used. Discuss the tools that were instrumental in your approach, such as cloud storage solutions or data processing frameworks.

Discussing methodologies such as Agile or DevOps practices can showcase your organizational skills. Highlight how you've applied these methodologies in past projects to ensure efficiency and collaboration within teams.

You can mention practices such as code reviews, testing protocols, and documentation. Share specific examples of how these practices positively impacted code quality and team collaboration in past roles.

Be sure to elaborate on specific cloud services and technologies you've utilized like AWS, Terraform, and Kubernetes. Provide examples of projects where these technologies were implemented and how they contributed to successful outcomes.

Choose a particular instance where you faced challenges in collaboration or technical obstacles. Discuss how you addressed these issues with effective communication and teamwork to arrive at a solution, demonstrating your problem-solving skills.

Provide a specific example where you engaged and collaborated with internal stakeholders to deliver a project. Explain how understanding their needs impacted the design and outcome of the software or systems you delivered.

Discuss your familiarity with SQL queries, database design, and specific relational databases you've worked with, such as PostgreSQL or MySQL. Mention any relevant projects demonstrating your understanding of data management.

Outline your systematic approach to troubleshooting, which may include analyzing logs, reproducing issues, and collaborating with other teams. Provide an example where you successfully identified and resolved a significant issue.

Articulate the critical importance of testing in software development, mentioning different testing types like unit, integration, and end-to-end. Discuss how a robust testing plan can lead to higher-quality software and fewer production issues.

Share your enthusiasm for the automotive industry and how advancements in automated driving technology inspire you. Explain how this passion motivates you to contribute to meaningful projects in this space.