Job description

Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We are looking for a Senior Software Engineer to enhance the performance, reliability, and maintainability of our cutting-edge robotics systems in deployment. You will design, implement, and maintain software systems for deployment in real-world robotic products. This role involves leading discussions and collaborating with machine learning, deployment, test, and security engineers to ensure seamless integration of our machine learning models into practical applications. You will also define technical roadmaps and drive product and system architecture direction. Responsibilities Architect, build, and maintain deployment software infrastructure and back-end services (e.g., model training infrastructure, AI developer tools, metrics dashboards). Lead teams to develop reliable software systems with robust testing, metrics, and logging mechanisms. Write and review code, develop documentation, create capacity plans, and debug on robot hardware. Collaborate with cross-functional teams to define technical roadmaps and drive the direction of product and system architecture. Share an on-call rotation with the engineering team to ensure system reliability and quick issue resolution. Preferred Qualifications BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. Minimum of 3 years of industry experience. Proficiency developing higher-level languages (e.g. Python, C++, or Java). Experience in configuration and maintenance of applications such as web servers, load balancers, relational databases, storage systems, and messaging systems. Knowledge of Linux OS fundamentals, memory management, and kernel. Experience learning software, frameworks, and APIs. Experience with enterprise security. Previous extensive work experience as a: Systems Engineer, Software Engineer, DevOps Engineer, Network Engineer, Systems Administrator, Linux Administrator, Database Administrator, Site Reliability Engineer (SRE), or similar. Base Salary Range $100,000 — $300,000 USD

Requirements

Must-haves

Company Overview
Architect, build, and maintain deployment software infrastructure and back-end services (e.g., model training infrastructure, AI developer tools, metrics dashboards).
Lead teams to develop reliable software systems with robust testing, metrics, and logging mechanisms.
Write and review code, develop documentation, create capacity plans, and debug on robot hardware.
Collaborate with cross-functional teams to define technical roadmaps and drive the direction of product and system architecture.
Share an on-call rotation with the engineering team to ensure system reliability and quick issue resolution.
Minimum of 3 years of industry experience.

Nice-to-haves

BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
Proficiency developing higher-level languages (e.g. Python, C++, or Java).
Experience in configuration and maintenance of applications such as web servers, load balancers, relational databases, storage systems, and messaging systems.
Knowledge of Linux OS fundamentals, memory management, and kernel.
Experience learning software, frameworks, and APIs.
Experience with enterprise security.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythonjava

Platform: greenhouse
Effort: quick