Industrial Engineer (Warehouse & Manufacturing Layout)

As an Industrial Engineer at Anduril Industries, you will optimize warehousing and material flow operations. Your main duties include identifying and resolving production constraints, analyzing data to improve efficiency, and facilitating collaboration across Supply Chain, Engineering, and Quality teams. This role also includes owning metrics and key performance indicators related to production line health, as well as conducting time studies to enhance operational processes.

To qualify as an Industrial Engineer at Anduril Industries, you will need a Bachelor’s degree in engineering and at least 3 years of experience in a high-rate supply chain or manufacturing setting. Additionally, strong skills in understanding technical documentation, familiarity with manufacturing processes, and the ability to travel up to 25% of your time are essential for this role.

Anduril Industries is highly invested in the professional growth of its employees, including those in the Industrial Engineer role. All Andurilians receive a professional development stipend, access to comprehensive healthcare benefits, and plenty of opportunities for hands-on experience and mentorship to enhance skills and drive career advancement.

Industrial Engineers at Anduril Industries implement methodologies like Value Stream Mapping, Process Mapping, and Lean Manufacturing principles. These techniques help identify inefficiencies, improve productivity, and streamline both warehouse operations and manufacturing processes to craft a more effective supply chain solution.

The company culture at Anduril Industries is dynamic and inclusive, encouraging innovation and creativity. Industrial Engineers are expected to thrive in a collaborative environment, where their ideas are valued and their contributions make a significant impact on both the team and the company’s mission to reshape defense technology.

When optimizing a production line, I first conduct a thorough analysis of the current processes through data analysis and observations. I identify bottlenecks and inefficiencies using metrics and key performance indicators. Developing simulations and mapping out value streams allow me to visualize areas for improvement and create actionable tasks that can lead to enhanced efficiency in the production line.

Absolutely! I once collaborated with a cross-functional team to streamline the inventory management process. By implementing a more structured layout and refining our data tracking system, we reduced retrieval times by 30% while also increasing accuracy in our inventory counts. This not only improved efficiency but also helped streamline our overall supply chain management.

For conducting time studies, I often apply methods like direct observation, timed trials, and work sampling. I ensure that I collect data during both peak and off-peak hours to get a comprehensive understanding of the processes. This data then allows me to make informed recommendations on adjustments that enhance overall productivity.

When faced with unexpected production constraints, my first step is to swiftly analyze the root cause. I engage with relevant teams to communicate and collaborate on a resolution. Quick problem-solving and flexibility are key; whether it involves reallocation of resources or adjusting workflows, having a proactive mindset ensures that we keep operations running smoothly.

I have actively implemented Lean Manufacturing principles in various projects. By focusing on eliminating waste and improving flow, I've delivered significant enhancements in operational efficiency. For instance, I introduced continuous flow processes that helped reduce cycle times and increase throughput rates in previous roles.

In fast-paced environments, prioritization begins with assessing urgency and impact. I often utilize project management tools to list tasks, delegate when possible, and regularly reassess priorities as new information arises. Clear communication with my teams is crucial to align our efforts effectively.

I have utilized simulation software, like Siemens Plant Simulation, to build models of production lines and run various scenarios. This approach allows me to visually analyze potential changes before implementation, saving time and resources, as we can identify the most effective solutions through simulation before any real-world application.

I believe that effective cross-functional collaboration starts with open communication and mutual respect. I actively listen to the insights of team members from different departments, leveraging their expertise to find integrative solutions. Regular team meetings and shared goals are vital to maintain alignment on objectives.

To ensure quality standards, I implement comprehensive monitoring systems that track production metrics and non-conformities. I also foster a culture of continuous improvement, encouraging team feedback and prompting regular audits of the processes to catch deviations before they become significant issues.

Data analysis is at the heart of industrial engineering for me. I routinely utilize data to assess operational performance, identify trends, and make informed decisions. From analyzing production line efficiency to inventory accuracy, I apply statistical tools to help drive enhancements and validate improvement initiatives effectively.