6 months ago
Base Salary
$100k - $300k/yr
Responsibilities
- Architect, build, and maintain deployment software infrastructure and backend services, including model training infrastructure, AI developer tools, and metrics dashboards.
- Lead teams developing reliable software systems with robust testing, metrics, and logging mechanisms.
- Write and review code, create documentation and capacity plans, and debug systems on robot hardware.
- Collaborate with cross-functional teams to define technical roadmaps and guide product and system architecture.
- Participate in an engineering on-call rotation to support system reliability and rapid issue resolution.
Requirements
- Bachelor’s, master’s, or higher degree in Computer Science, Robotics, Engineering, or a related field, or equivalent practical experience.
- At least 3 years of industry experience.
- Proficiency developing in Python, C++, or Java.
- Experience configuring and maintaining web servers, load balancers, relational databases, storage systems, and messaging systems.
- Knowledge of Linux fundamentals, memory management, and the kernel.
- Experience learning and working with software, frameworks, and APIs.
- Experience with enterprise security.
- Relevant experience as a Systems Engineer, Software Engineer, DevOps Engineer, Network Engineer, Systems Administrator, Linux Administrator, Database Administrator, Site Reliability Engineer, or similar.
About Skild AI
Skild AI builds a general-purpose robotic intelligence and software stack to train and deploy robots that adapt to varied, unseen tasks for commercial use. It offers a platform and models for robot manufacturers and enterprises automating physical work, with support for integration across manipulators and mobile systems. Founded in 2023 and headquartered in Pittsburgh, the privately held company raised a Series C in 2026.