Production Software Engineer
Owns the software system that produces and calibrates radar sensors, building cloud- and web-based applications (AWS) for data collection, real-time monitoring, and hardware control while supporting high-volume hardware production. Core stack is Python for scientific work (NumPy/SciPy/Pandas) plus Linux, cloud infrastructure, and networking.
- Compensation
- $143K–$191K / yr
- Location
- Fort Collins, Colorado, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Software engineering
- Posted
Skills
Must have
- 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
- Familiarity with OT network requirements including segmentation and security best practices; networking proficiency across TCP/IP, VLANs, DNS, DHCP
Nice to have
- Familiarity with testing and integration of sensor systems such as radars, lidar, or EO/IR
- Advanced Python experience including web-based applications (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)
- 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
- A strong foundation in mathematics and physics
Full description
Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.
We're seeking a Software Engineer to join our rapidly growing team in Fort Collins, CO. As a Software Engineer on the Battlespace Awareness Production team, you’ll need to think creatively and continuously improve our methods of automation, throughput, user interfaces, and data analytics. Your efforts will ensure that Anduril production systems and products work seamlessly work together to achieve a variety of critical outcomes —executing in an expedient, scalable, and pragmatic way while keeping the mission top-of-mind and making sound engineering decisions to deliver successful outcomes correctly, on-time, and with high quality.
WHAT YOU'LL DO
- 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.
REQUIRED QUALIFICATIONS
- 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.