Senior Software Engineer
Swarmbotics AI
- Phoenix, AZ
- Permanent
- Full-time
- Deep expertise in developing production-grade modern C++ software (C++20)
- Ability to work onsite in Phoenix, AZ area
- Strong desire to work in the very fast paced, fluid environment of a small tech startup
- Proven track record of rapidly building mission-critical software systems
- Proficiency in system design, architecture, and development of high-quality, modular, stable, and scalable software
- Passion for leading discussions, sharing innovative ideas, and promoting best practices within the team
- Proficient in adapting project execution to meet evolving demands
- A track record and love of collaborating with and mentoring other team members
- Strong proficiency in software engineering best practices, including code reviews, unit testing, continuous integration/continuous deployment (CI/CD), and version control (e.g., Git)
- Experience with low-level programming, debugging complex issues, and ensuring software reliability in resource-constrained environments
- Experience building software solutions involving significant amounts of data processing and analysis
- Experience with analyzing and debug multithreaded software
- Experience implementing technical metrics on specific subsystems and system-wide performance to drive continuous improvement
- Strong familiarity with cross-architecture development (x86 and ARM)
- BS in Computer Science, Software Engineering, or a related field
- Excitement about contributing to the defense of the United States and its allies
- Ability to obtain and hold a U.S. security clearance (no active clearance required)
- MS or PhD in Computer Science, Software Engineering, or proven experience in industry
- Familiarity with a wide range of relevant technologies, such as networking, ML ops pipelines, data processing, microcontroller development, and other technologies employed on robotic systems.
- Knowledge of additional programming languages such as Python for supporting tools and scripting
- Developing and testing multi-agent autonomous systems and deploying in real-world environments