Platform & Hardware Integration Engineer

As a Platform & Hardware Integration Engineer at Applied Intuition, your key responsibilities include integrating software with embedded compute modules, such as NVIDIA Jetson and Raspberry Pi, onto real autonomous systems. You'll work collaboratively with autonomy engineers to ensure the technical integration of various components like UAV autopilots and sensors. Additionally, your role will involve managing hardware/software testing in flight environments and coordinating schedules to meet project deadlines effectively.

To thrive as a Platform & Hardware Integration Engineer at Applied Intuition, you should possess a robust background in C/C++, Python, and Bash, along with experience using Docker and Linux-based operating systems. Familiarity with communication protocols like UART, SPI, and I2C is essential, as you'll be integrating complex autonomy systems. Hands-on experience with Pixhawk autopilots is advantageous, confirming your readiness for the challenges ahead.

Yes, the Platform & Hardware Integration Engineer role at Applied Intuition may require occasional travel, estimated at once every other month and lasting between two days to one week. This travel is typically project-based and is essential for conducting field tests or collaborating with vendors.

A bachelor's degree in computer science or a related engineering field is typically required for the Platform & Hardware Integration Engineer position at Applied Intuition. However, if you have a master's degree or extensive hands-on experience in integrating software into robotic systems, your application will be viewed favorably.

As a Platform & Hardware Integration Engineer at Applied Intuition, you will work on exciting projects incorporating autonomy software with UAVs and other tactical systems. You'll be integral in developing solutions for military missions, which could range from integrating advanced sensors like cameras and radars to performing live flight tests, making this role both challenging and rewarding.

When integrating software into embedded systems for the Platform & Hardware Integration Engineer role, I begin by thoroughly understanding both the hardware and software specifications. I follow a structured approach that includes creating a detailed integration plan, assessing compatibility, and methodically conducting tests while monitoring system performance under various conditions. I believe clear communication with the team is crucial for effective integration.

In my previous roles, I have worked extensively with Pixhawk autopilots, familiarizing myself with its operational parameters and integration capabilities. I have successfully integrated communication protocols and sensors, managing data flow effectively between the UAV and the autopilot to enhance performance during tests and operational flights. This hands-on experience is pivotal for the role at Applied Intuition.

To ensure reliability during testing of autonomous systems, I employ rigorous testing protocols which include hardware-in-the-loop (HIL) and software-in-the-loop (SIL) simulations. By developing comprehensive test cases that cover a range of scenarios, I make sure that both the hardware and software components interact seamlessly and reliably before field testing.

One challenging project I worked on involved integrating various sensors into a modular UAV system, focusing on enhancing its navigation capabilities. This project required me to troubleshoot communication issues and optimize algorithms on the fly. By collaborating effectively with cross-functional teams and iterating on designs through testing, we achieved a breakthrough in system performance which was rewarding.

I am proficient in C/C++, Python, and Bash, which I have used extensively in previous integration projects. For example, I leveraged Python scripts for automation in testing procedures and utilized C++ to enhance the efficiency of software running on embedded systems. My familiarity with these programming languages enables me to adapt quickly to various software requirements in diverse projects.

To manage project deadlines effectively, I focus on thorough planning, realistic scheduling, and open communication. I break down tasks into manageable segments and prioritize them based on urgency and importance. Regularly reviewing progress, holding team meetings, and adjusting plans as necessary allows me to ensure deadlines are met while maintaining quality.

My experience with network communication protocols includes working with UART, SPI, I2C, and Ethernet in the context of robotics integration. For instance, I've implemented UART for serial communication between microcontrollers and sensors, ensuring reliable data transmission. This knowledge is essential for the Platform & Hardware Integration Engineer role at Applied Intuition, where various protocols are integral to system integration.

I stay updated on the latest developments in autonomy and robotics through a mix of continuous learning and professional networking. I follow industry-leading journals, participate in relevant webinars, and attend conferences. Additionally, engaging with online communities and collaborating with peers enables me to exchange ideas and keep my skills sharp.

I have leveraged Docker for creating isolated environments for testing and deploying applications in previous roles. Using containerized environments has significantly streamlined development and testing workflows, especially for complex systems where consistency across different stages is crucial. This experience is particularly relevant for a role like the Platform & Hardware Integration Engineer at Applied Intuition.

My approach to debugging integration issues is systematic and involves isolating components to identify the root cause of the problem. I utilize logging and monitoring tools to gather insights into system behavior and perform tests iteratively, making adjustments based on findings. Collaborating with team members often provides new perspectives that can expedite the debugging process.