About the role

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

Skild AI is building the world's first general-purpose robotic intelligence — an omnibodied AI brain that can be deployed into any hardware platform, from humanoid robots to warehouse automation systems to quadrupeds. Founded in 2022 and headquartered in San Mateo, California, Skild AI takes a fundamentally different approach to the robotics race: rather than building a single robot, they've created a platform-agnostic foundation model that makes any robot a dramatically better version of itself.

The company operates at the intersection of massive-scale machine learning and physical robotics, believing that data-driven AI is the key to unlocking robust robotic intelligence that adapts to unseen scenarios without failing. Their customers include major technology companies like Amazon and NVIDIA, who integrate Skild's brain into their own hardware platforms.

With over $1.8 billion in funding from world-class investors including SoftBank, Sequoia Capital, NVIDIA, Bezos Expeditions, and Samsung, Skild AI has grown from a 12-person team to nearly 200 employees in under two years. The company also pursues strategic acquisitions — such as Fetch Robotics — to expand their hardware footprint and demonstrate the transformative power of their AI when deployed into existing platforms.

Skild AI fosters a fast-paced, high-ownership startup culture where team members work directly with founders and have outsized impact. The founding team emerged from CMU's robotics ecosystem, and the company values demonstrated ability and attitude over pedigree, welcoming individuals from new graduates to domain experts who are passionate about exploring uncharted territory in embodied AI.

Senior Software Engineer, Infrastructure

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