SLAM Software Engineer

As a SLAM Software Engineer at Pickle Robot, your responsibilities will include developing and improving lidar- and vision-based perception algorithms, focusing on state-estimation, localization, mapping, object tracking, and sensor calibration. You'll conduct applied research, write and review software, maintain documentation, collaborate with teams for technical challenges, and debug issues with precision.

Candidates for the SLAM Software Engineer position at Pickle Robot should have at least 3 years of experience in robotics, holding a Master’s or Ph.D. in a related field. Essential skills include proficiency in Python and C++, understanding of SLAM algorithms, and experience with filtering techniques like Kalman filters. A strong foundation in computer science and familiarity with ROS is also required.

A SLAM Software Engineer at Pickle Robot should be familiar with lidar and vision sensors, linear algebra, probability, and 3D geometry, as well as relevant libraries and tools such as Eigen, NumPy, Ceres Solver, and GTSAM. Proficiency in ROS and experience shipping production software for calibration, localization, and mapping is also important.

Pickle Robot values a strong engineering background and a proactive attitude in its SLAM Software Engineers. Ideal candidates should be good at quick prototyping and have a willingness to tackle challenging problems head-on. Furthermore, the ability to collaborate effectively with team members and work on-site in Cambridge is essential.

At Pickle Robot, SLAM Software Engineers can expect best-in-class benefits, including health, dental, and vision insurance, unlimited vacation time, and 401K contributions of 5% of their salary. Additional perks such as travel supplies and resources to enhance comfort and productivity at work are also included.

In answering this question, candidates should detail their hands-on experiences with SLAM technologies, discussing specific projects where they applied SLAM algorithms, including challenges faced and solutions implemented. Tailoring your answer to highlight how your experience aligns with the responsibilities at Pickle Robot will strongly impress interviewers.

Here, candidates should emphasize their proficiency in Python and C+, citing specific projects where they utilized these languages for software development. Mentioning any frameworks or libraries related to robotics can add depth to your answer.

When answering this, focus on a specific instance where you successfully identified and resolved a complex debugging issue. Discuss the tools and techniques you employed to analyze data, troubleshoot the problem, and implement a fix, showcasing analytical skills and creativity in problem-solving.

Respond to this question by outlining the resources you use, such as academic journals, conferences, or online courses. Highlight participation in relevant communities or forums where new information is shared and emphasize a commitment to continuous learning.

Candidates should provide an overview of Kalman filters, describing how these techniques are crucial for state estimation in robotics. It’s beneficial to discuss specific projects where you utilized Kalman filters for sensor fusion or tracking, illustrating practical application.

Highlight the significance of communication and teamwork in your past projects, including examples of how you've collaborated with colleagues or cross-functional teams to solve technical challenges, share knowledge, or drive project success.

In your response, detail how you’ve leveraged the Robot Operating System (ROS) for robotic applications, emphasizing specific functionalities you've utilized, such as navigation, sensor integrations, or communication between nodes. Mention projects that demonstrate your proficiency.

Discuss the various optimization techniques you’ve applied in SLAM, such as bundle adjustment or on-manifold least-squares optimization. Providing a brief example from your experience can help illustrate your expertise.

Look to convey your understanding of code quality, mentioning practices such as code reviews, testing methodologies, and adhering to coding standards. You can explain how these practices contribute to building robust and maintainable software.

In addressing this, express your passion for robotics and its potential to streamline processes and improve safety in warehouses. Highlight any experiences or insights that fuel your motivation to drive innovation in this field.