What are the responsibilities and job description for the Software Engineer, Dev Ops / Infrastructure position at Field AI?
Field AI is among the select startups making robots a reality. We are a deep-tech robotics company shaping the future of embodied AI. Our intelligent brains operate across legged, wheeled, and humanoid robots. We blend commercial applications with groundbreaking research, fostering a dynamic environment that pushes the boundaries of robotics.
Join a team dedicated to redefining the way humans and robots collaborate. As a DevOps Infrastructure Engineer, you will have a unique opportunity to shape the infrastructure that powers the next generation of robotics systems. This is a chance to combine technical expertise with innovation, creating robust, scalable, and secure platforms that support real-world robotics applications.
In this role, you'll play a critical part in designing and managing infrastructure for robotics control and monitoring, ensuring seamless operations and a great user experience.
What You Will Get To Do
- Architect, deploy, and manage cloud and on-premises (on-robot) infrastructure to support robotics operations and monitoring systems.
- Develop and maintain scalable CI / CD pipelines to ensure efficient development and deployment cycles.
- Implement and manage observability solutions to monitor system performance, diagnose issues, and ensure reliability.
- Optimize infrastructure for real-time robotics applications, focusing on low latency, high availability, and robust fault tolerance.
- Implement and enforce best practices for infrastructure security, including secure communication between robots and backend systems.
- Automate routine tasks, improve processes, and enable rapid scaling of infrastructure to meet growing demands.
- Collaborate closely with software engineers, robotics experts, and other stakeholders to build environments that foster innovation and efficient workflows.
What You Have
What Will Set You Apart
Our salary range is generous ($70,000 - $300,000 annual), but we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid option.
Why Join Field AI?
We are solving one of the world's most complex challenges : deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment.
Our team is uniquely suited to accomplishing these goals, with leadership and staff comprised of team members who have won back to back segments of the DARPA SubTerranean and DARPA RACER challenges and experts from NASA JPL, DeepMind, SpaceX, Boston Dynamics, Cruise, and Zoox, with educational roots at Stanford, CMU, MIT, and Georgia Tech.
Be Part of the Next Robotics Revolution
If you're a highly adaptable, resilient individual who thrives in a dynamic environment and aims to achieve big goals, Field AI is your next home. We're looking for talented individuals who are ready to take on challenges and make a tangible impact in the world of embodied AI. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!
Real Deployment, Real Impact. Fast-Paced Growth. Competitive Compensation. Supportive Environment.
PI260163340
Salary : $70,000 - $300,000
