Software Engineer II, Perception State Estimation

As a Software Engineer II, Perception State Estimation at Latitude AI, your responsibilities include developing and deploying machine learning models, creating algorithms for multi-object tracking and state estimation, and working closely with perception experts. You will engage in analyzing raw data, implementing solutions from research into production, and ensuring seamless integration with other systems. Basically, you’ll be instrumental in enhancing the safety and efficiency of autonomous driving technology for Ford vehicles.

To qualify for the Software Engineer II, Perception State Estimation role at Latitude AI, you should possess a Bachelor's degree in a relevant field such as Computer Science or Robotics, along with at least 2 years of experience. Alternatively, a Master's degree combined with any relevant experience or a PhD can also suffice. Proficiency in Python or C++, extensive experience in machine learning, and knowledge of deep learning frameworks like PyTorch or TensorFlow are essential.

The work environment for a Software Engineer II, Perception State Estimation at Latitude AI is dynamic and collaborative. Designers, researchers, and engineers from diverse backgrounds contribute to creating innovative driving solutions. You’ll be encouraged to think outside the box in a startup-like setting that values creativity, initiative, and teamwork. Expect a fast-paced atmosphere where every member's contributions directly impact our mission!

At Latitude AI, a Software Engineer II, Perception State Estimation will work on projects that involve developing advanced algorithms for road feature estimation, multi-object tracking, and implementing deep learning models for real-time data processing. These projects aim to create reliable perception systems that enhance vehicle awareness and decision-making. Your work will play a crucial role in advancing the technology behind Ford's next-generation autonomous vehicles.

Absolutely! At Latitude AI, we highly value professional development and encourage our Software Engineers II, Perception State Estimation to pursue continuous learning. Our comprehensive benefits package includes components for reimbursement for professional development, allowing you to enhance your skills and advance within the company. Moreover, working alongside industry experts offers invaluable insights and mentorship opportunities.

Interviewers are looking for a detailed understanding of your machine learning journey. Discuss specific models you've implemented, frameworks used like TensorFlow or PyTorch, and the outcomes of your projects. Highlight any challenges faced and how you overcame them.

Share your systematic approach to debugging. This could include steps like using debugging tools, writing extensive logs, and conducting unit tests to pinpoint issues. Mention any specific examples where you identified and resolved bugs effectively.

Explain your thought process for building a multi-object tracking algorithm. Discuss the data sources, framework choices, performance evaluation methods, and how you would optimize it for efficiency. Use past examples where your approach led to a success or optimization.

This is a chance to show your enthusiasm for the field. Mention any recent papers or projects you've read about. Discuss how these advancements could influence the work at Latitude AI and your potential contributions.

Provide a specific example outlining the project details, your role, and the challenges faced during the transition. Concentrate on showcasing your problem-solving skills and the collaboration with cross-functional teams.

Talk about the sources you rely on to keep current, such as specific journals, conferences, or online courses. Emphasize your commitment to lifelong learning and adapting new techniques into your workflow.

Discuss the critical importance of perception systems in autonomous vehicles, such as obstacle detection, path planning, and decision-making processes. Relate this to your understanding of the role that you will play at Latitude AI.

Share your time management strategies, like prioritizing tasks, breaking down projects into manageable pieces, and maintaining communication with your team. Use a real example to elaborate on your approach.

Focus on instances where collaboration was key to the project's success. Discuss how you adapted to different team dynamics, communicated effectively, and contributed to a shared goal.

Share your enthusiasm for the company’s mission and how your background aligns with their goals. Highlight any personal experiences or interests that connect you to the role in automated driving technology and your eagerness to innovate within this space.