Jobs at Skild AI

Own system-level architecture, integration, testing, and reliability for robotic platforms spanning mechanical, electrical, embedded, and machine learning systems. Define specifications, interfaces, power budgets, sensor suites, communication architectures, and qualification pipelines. Lead hardware bring-up, functional testing, diagnostics, FMEA, and root-cause investigations. Collaborate with ML, mechanical design, and manufacturing teams to convert software goals into hardware requirements and validate robots for reliable field deployment.

Create and refine Skild AI’s visual brand across web, social, presentations, campaigns, motion, 3D, and product storytelling. Build AI-powered creative workflows, contribute to photo and video production, manage assets, coordinate external creatives, and own projects from concept through delivery. The role offers meaningful creative ownership and potential progression into a full-time brand and creative leadership position.

Supports robotics and autonomous-platform fleets by troubleshooting and repairing electromechanical failures, managing RMA workflows, and identifying recurring issues. Designs and fabricates CAD-based fixtures, prototypes, harnesses, and enclosures; debugs PCBAs, batteries, sensors, and embedded communications. Uses bench equipment, Linux terminals, firmware tools, logs, telemetry, and scripts for validation and root-cause analysis. Documents failures, test procedures, BOMs, and prototypes while partnering with electrical, mechanical, and firmware engineering teams.

Build and own software for robot provisioning, calibration, manufacturing validation, service testing, and startup self-checks. Diagnose failures across hardware, firmware, and software; define subsystem pass/fail criteria; create technician-facing workflows; and drive root-cause fixes and process improvements with robotics, manufacturing, hardware, firmware, perception, and controls teams.

Provide hands-on IT support across Mac, Linux, and Windows environments. Manage endpoint provisioning, imaging, inventory, repairs, networking, identity and access, onboarding, offboarding, ticket queues, office technology, and SaaS administration. Support conference rooms, printers, lab equipment, and connectivity, while creating runbooks and scalable processes. The role is fully onsite and requires hardware handling in a technical robotics and AI environment.

Own end-to-end delivery of robotics programs spanning software releases, hardware builds, and customer deployments. Coordinate engineering, product, and operations dependencies; manage roadmaps, milestones, risks, capacity, and trade-offs; and lead Agile planning, release readiness, retrospectives, dashboards, and program reviews. The role also establishes scalable program management practices and maintains planning and decision-tracking systems in Linear and Notion.

Owns biweekly and semi-monthly payroll across multiple entities, including corrections, terminations, bonuses, tax filings, and notices. Manages HRIS onboarding, employee benefits, open enrollment, carrier billing, renewals, compliance filings, and workers’ compensation audits. Partners with Accounting, Recruiting, People leadership, and external providers while improving payroll and benefits workflows through process automation.

The Robotics Engineer will develop software solutions for robotic manipulation, design algorithms, and collaborate with the ML team on real robot deployments.

The role involves enhancing software reliability for robotic systems, leading discussions, and collaborating with machine learning and deployment teams to ensure integration of AI models.

The Computer Vision AI & ML Engineer will develop and optimize deep learning models for robotics perception systems, collaborating across teams to integrate models and evaluate performance.

Responsible for designing and implementing reinforcement learning algorithms, conducting experiments, and optimizing models for robotic applications, collaborating with multiple teams.

Develop and optimize AI training pipelines, collaborate with researchers, ensure reliability and performance of training systems, and integrate advanced algorithms.

Design and optimize deep learning models for robotic manipulation, ensuring robust and efficient algorithms for real-world applications.

The Robotics Application Engineer will design, develop, and deploy software for robotic systems, integrating solutions into production environments while collaborating with cross-functional teams to enhance performance.

The Senior Robot Infrastructure Engineer will develop edge-to-cloud systems for robot fleet management, focusing on software implementation, OTA updates, and data pipeline architecture.

As a Robotics Engineer, you will design and implement software and hardware adaptations for customer deployments, manage testing practices, and collaborate with robotics teams to enhance product quality.