Building general purpose robotic intelligence.

Industry: Software Development
Company Size: 11-50 employees

Skild AI

Savvy Admin PROD

**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 Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously.

**Responsibilities **

- Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.

- Design and conduct experiments to train RL models and conduct real-world tests.

- Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training.

- Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment.

- Analyze and interpret experimental results, iterating on model design to achieve desired performance.

- Stay up-to-date with the latest research and advancements in reinforcement learning.

**Preferred Qualifications **

- BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.

- Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.

- Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.).

- Strong background in algorithms, data structures, and software engineering principles.

- Experience with physics simulation engines and tools for training RL.

- Deep understanding of state-of-the-art machine learning techniques and models.

- Extensive industry experience with reinforcement learning and robotic systems.

Base Salary Range: $100,000 USD - $300,000 USD

Machine Learning Engineer

**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 building the command layer for a new generation of intelligent robots.

As our first UX/UI design hire, you will define how humans command, deploy, and collaborate with autonomous systems in the physical world. You will own the experience for fleet command of distributed, sensor-equipped robotic systems operating in real environments. This is mission-critical software that enables non-experts to operate intelligent machines, not a fleet dashboard with status icons. Customers will rely on what you design to monitor, deploy, coordinate, and intervene across their robot installations.

Beyond fleet command, you will architect a radically simplified deployment experience: a true “unbox, power on, connect, deploy” journey via app or tablet. Our ambition is to eliminate heavy pilots and prolonged engagements by making robot activation intuitive, guided, and production-ready from day one.

This is a zero-to-one role with expanding scope. You will set the design standard for the company and establish deployment and command UX as a strategic advantage for Skild AI.

**Responsibilities **

- Own UX/UI from concept through production.

- Translate complex robotics and AI capabilities into simplified, controllable systems.

- Design production workflows for distributed, moving, sensor-equipped assets.

- Lead customer interviews, usability studies, and rapidly prototyping.

- Raise the design craft, rigor, and systems-thinking bar across the applied AI team.

- End-to-end UX for fleet monitoring and control

- AI-assisted control surfaces (configure, automate, supervise, escalate)

- Self-service onboarding and training workflows

- Real-time telemetry and multimodal sensor visualization (camera + beyond)

- Alerting, incident response, and system health management

- Task orchestration and multi-robot coordination

**Preferred Qualifications **

- 2-4 years designing exceptional consumer hardware experiences and/or complex B2B operational systems.

- Proven experience building production workflows for distributed systems or moving assets.

- Strong background in data-heavy, real-time operational tools.

- Experience with monitoring, alerting, and multi-state workflows.

- Experience designing interfaces integrating multimodal data.

- Demonstrated systems thinking and high design craft.

- Comfort leading customer research and translating insight into product decisions.

**Bonus **

- Robotics, autonomous systems, security, or industrial experience.

- Experience designing control system consoles.

- Experience simplifying complex hardware setup flows.

- Familiarity with AI-assisted configuration and automation interfaces.

Base Salary Range: $100,000 USD - $300,000 USD

UX/UI Designer – Fleet Command & Robot Management

**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 seeking a Full Stack Developer to help build and maintain our cloud infrastructure and web applications. This role requires expertise in modern web technologies and a strong understanding of network programming, focusing on creating robust systems for robot control and monitoring.

**Responsibilities **

- Design and implement full-stack web applications

- Develop and maintain server-side applications using NodeJS

- Create and optimize database schemas and queries

- Implement real-time communication systems using WebSockets

- Build and maintain WebRTC implementations for robot control

- Develop WebXR experiences for robotic interactions

- Ensure application security and performance

- Write Unit and Integration Tests

- Write and Maintain Documentations

- Collaborate with cross-functional teams

- Design and maintain CI/CD pipelines

- Manage cloud infrastructure and deployments

- Monitor system performance and implement optimizations

- Participate in code reviews and technical discussions

**Basic Qualifications **

- Bachelor's degree in Computer Science or related field

- Strong proficiency in JavaScript/TypeScript

- Experience with React and modern frontend development

- Understanding of backend development principles

- Knowledge of database design and management

- Experience with containerization (Docker)

- Familiarity with CI/CD principles

- Basic understanding of cloud services

**Preferred Qualifications **

- Experience with MERN stack.

- Proficiency with WebRTC and Socket.IO

- Knowledge of SQL and NoSQL databases (MongoDB)

- Experience with WebXR development

- Understanding of cloud infrastructure and deployment

- Knowledge of React Three Fiber or Three.js

- Experience with real-time systems

- Understanding of network protocols and security

- Strong AWS expertise

- Experience with Infrastructure as Code

- Proficiency with monitoring and logging tools

Full Stack Developer

**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 USD - $300,000 USD

Robotics Application Engineer

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