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're looking for a hands-on, highly technical Robotics Application Engineer to work on the software that bridges our foundation models and real-world deployment. This role sits at the intersection of software development, systems integration, and operations — requiring a blend of technical depth and creative problem-solving. You'll translate complex real-world

requirements into robust, deployable robotic solutions and collaborate closely with cross-functional teams to deliver and continuously improve them.

Responsibilities Design, develop, and deploy software for robotic systems, including programming, configuration, and validation. Integrate and deploy robotic software solutions into production environments. Test, troubleshoot, and debug robotic applications — tracing failures across hardware, software, and model layers. Work closely with ML and core robotics engineers to surface deployment failures, reproduce edge cases, and translate field learnings into system improvements. Analyze and improve robot algorithms and system performance over time. Build and maintain technical documentation, runbooks, and tooling to support configuration, monitoring, and performance evaluation. Collaborate with hardware, operations, and R&D teams to optimize robotic performance and scalability. Preferred

Qualifications BS, MS, or higher degree in Computer Science, Robotics, or a related field, or equivalent practical experience. 3–5+ years of hands-on experience in robotics application development, system integration, or field deployment. Proficiency in Python and C++; strong working knowledge of ROS/ROS2. Familiarity with AI and machine learning techniques as applied to robotic systems. Background in autonomous systems — robotics, drones, autonomous vehicles, industrial automation, or similar. Familiarity with vision systems, simulation tools, and sensor integration. Strong analytical and problem-solving skills with the ability to work in a fast-paced, dynamic environment. 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.

Robotics Application Engineer

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