Join Skild AI as a Robotics Application Engineer to develop and deploy innovative robotic solutions in a dynamic environment.
Posted by employer 3 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
- Experience
- 3–5 years
- Education
- Bachelor's degree
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
The Robotics Application Engineer at Skild AI focuses on developing and deploying software that connects advanced robotic models to real-world applications. This role demands proficiency in Python and C++, along with experience in robotics application development and system integration. Ideal candidates have a strong background in autonomous systems and a knack for problem-solving in dynamic environments. Skild AI's innovative approach to robotic intelligence fosters collaboration across diverse teams, making it a fitting opportunity for both seasoned professionals and those eager to grow.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Skild AI's career page.
- Skild AI has 63 other open roles including Manufacturing Engineering Manager, Senior Electrical Engineer , Operations Program Manager – Data Infrastructure - India.
- 6527 active Python roles on Joblaze right now.
- 1672 active AI roles on Joblaze right now.
- 1661 active C++ roles on Joblaze right now.
- Salary band is below the typical range for AI/ML roles (median ~$188,000).
- Pays more than 8% of the 3228 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- What's the salary range?
- Skild AI lists $100,000–$300,000 for this role.
- How much experience is required?
- 3–5 years of relevant experience for this Robotics Application Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI, C++, Machine Learning, Python, ROS, ROS2.
- What seniority level is this role?
- Skild AI targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Robotics Application Engineer role at Skild AI.
From the original posting
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.