Anduril Industries Production Software Engineer at Anduril Industries owning software systems for production and calibration of radar sensors. Designs cloud and web applications for data collection, monitoring, and hardware control.
Responsibilities
Own the software system responsible for the production and calibration of radar sensors, ensuring reliability, scalability, and smooth integration with new hardware lines.
Design and implement cloud-based and web-based applications (e.g., AWS services) for data collection, real-time monitoring, and hardware control.
Collaborate with hardware and manufacturing engineers to resolve production issues and optimize system performance.
Drive the architecture of scalable software systems that support high-volume hardware production.
Monitor system health and implement proactive measures to prevent outages
Monitor production performance metrics and provide feedback to the production team
Develop frameworks and tools that can be easily adapted to future hardware product lines.
Qualification
Bachelor's degree in Computer ScienceExperience setting upUnderstanding of web-based interfacesSolid Linux DevOps background
Required
Bachelor's degree in Computer Science, Software Engineering, or related field
Python experience for scientific/engineering applications (NumPy, SciPy, Pandas).
Experience with version control systems (e.g., Git) and agile development methodologies
Understanding of Unix/Linux directory structures and system layouts
Demonstrated problem-solving and analytical skills
Strong written and verbal communication skills for technical and non-technical audiences.
Experience deploying and/or managing cloud infrastructure and services.
Experience setting up, configuring, and troubleshooting network-connected test and measurement devices such as DAQs, signal generators, and spectrum analyzers, or equivalent.
Familiarity with OT network requirements including segmentation and security best practices and general networking proficiency across TCP/IP, VLANs, DNS, DHCP.
Preferred
Familiarity with testing and integration of sensor systems such as radars, lidar, or EO/IR.
Advanced Python experience including web-based application (Flask, Django, FastAPI)
Understanding of web-based interfaces, including TCP connections, WebSockets, and HTTP RESTful APIs.
Experience with front-end web frameworks (React, Angular, Vue.js) for intuitive user interfaces.
Comfort with embedded devices and low-level systems programming (C++, edge-computing devices, GPU systems).
Hands-on knowledge of CI/CD pipelines for automated builds and deployments.
Proven expertise in automated testing (Pytest) for large Python-based software systems.
Solid Linux DevOps background, including server management and shell scripting.