Software Engineer II, Open World Perception

As a Software Engineer II specializing in Open World Perception at Latitude AI, your main responsibilities include developing innovative solutions for anomaly detection and collaborating with both internal and external experts to ensure seamless software integration. You will also champion safety throughout the software development lifecycle and continuously optimize performance based on data-driven insights. Additionally, you'll work closely with systems engineering to validate vehicle operations during complex scenarios.

Candidates for the Software Engineer II, Open World Perception role at Latitude AI should possess a Bachelor's degree in Computer Science, ECE, Robotics, or a related field, along with 2+ years of experience in computer vision, machine learning, and deep learning. Proficiency in C++ or Python programming is crucial, as well as a strong background in AI research and product development that culminated in successful launches.

For the Software Engineer II, Open World Perception position at Latitude AI, familiarity with C++ or Python is essential for software development. These languages are commonly used in the automation and machine learning domains, enabling you to create scalable and efficient solutions for the challenges posed by open-world detection.

Yes, having experience in autonomous driving can be a valuable asset for the Software Engineer II, Open World Perception position at Latitude AI. Candidates with a background in this field will find it easier to understand the complexities involved in automated driving technology and will be better equipped to contribute to product development that focuses on safety and operational excellence.

At Latitude AI, employees in the Software Engineer II, Open World Perception role can expect competitive compensation and a comprehensive benefits package, which includes health insurance, a 401(k) retirement plan, paid parental leave, and unlimited vacation. Additional perks such as professional development reimbursement, wellness stipends, and team bonding initiatives further enhance the work experience.

When answering this question, illustrate your specific experiences with machine learning frameworks and methodologies. Focus on a project where you applied ML techniques to perception challenges, explaining the tools you used, results achieved, and how it relates to the operational domain that Latitude AI operates in.

In your response, discuss methodologies such as profiling, benchmarking, and real-time monitoring. Explain how you use data-driven insights to identify bottlenecks and improve performance in software applications, emphasising a scenario where you successfully optimized a system.

Share your experience working with diverse teams, emphasizing communication and active listening skills. Discuss specific situations where collaboration led to successful outcomes, particularly in integrating different systems or facing complex challenges.

Use the STAR method to structure your response, detailing the Situation, Task, Action, and Result of your experience. Highlight any innovative solutions you implemented to identify or mitigate the anomaly, reinforcing your understanding of anomaly detection.

Convey your knowledge of safety-critical applications in automated driving, focusing on the importance of thorough validation, user control, and risk assessment. Provide examples of safety frameworks or standards you are familiar with, and explain how you would implement these in your work.

Discuss your methods for continuous learning, such as following industry publications, attending conferences, or engaging in online courses. Share any recent trends you have explored and how they might apply to your work at Latitude AI.

Highlight your proficiency with either programming language, including specific projects or applications you've worked on. Discuss any challenges encountered and how you overcame them, emphasizing your ability to write clean, efficient code.

Explain the importance of relying on empirical data to make informed decisions in software development. Provide an example of how you utilized data analytics to improve a process, solution, or performance metric.

Share your approach to adaptability and flexibility when faced with shifting requirements. Focus on your communication skills and prioritization strategies that ensure the project remains aligned with the overall objectives while addressing new needs.

Discuss the significance of code reviews in improving quality and fostering a positive collaboration culture. Provide insights into your approach for giving and receiving constructive feedback, and share an instance where feedback significantly improved a project.