Position Overview

We are seeking an experienced IT Generalist to manage and support our IT infrastructure and security systems. This role is essential in supporting our high-tech environment, including our advanced robotics and AI research. The ideal candidate will be a proactive problem-solver who is adept at managing both hardware and software resources, ensuring smooth IT operations, and safeguarding our digital and physical assets.

Responsibilities

• Manage and troubleshoot IT infrastructure, including compute resources like GPU clusters and cloud environments.
• Administer access controls and implement security measures across all software platforms.
• Maintain and update IT equipment inventory, and oversee the IT setup for new employees.
• Develop and enforce IT policies to secure our robotics technology and intellectual property.
• Collaborate with technical teams to resolve IT issues and support the deployment and operation of advanced robotic systems.
• Ensure that our company website and internal tools are maintained and functional.

Preferred Qualifications

• Previous work experience as a: Systems Administrator, Network Administrator, Linux Administrator, Database Administrator, Site Reliability Engineer (SRE), Systems Engineer, Software Engineer, DevOps Engineer, Network Engineer, or similar.
• Solid knowledge of system administration, network administration, and cloud infrastructure.
• Experience with enterprise security.
• Excellent problem-solving skills and the ability to work autonomously.

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.

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.

Position Overview

We are looking for Mechanical Design Engineers to create and fabricate robotic systems for teleoperation, human-robot interaction and data collection. You will be responsible for designing, developing, and testing electro-mechanical hardware systems that include haptic devices, exoskeletons, and others. You will work closely with cross-functional teams to ensure our products achieve the highest standards of performance, reliability, and efficiency.

Responsibilities

• Design, prototype, and test hardware systems for human-robot interaction
• Create detailed CAD models and drawings for jigs, fixtures, and tools using CAD software for mechanical components.
• Utilize 3D printing and rapid prototyping techniques to develop and test hardware prototypes.
• Collaborate with software engineers, mechanical engineers, and other team members to integrate hardware with software and mechanical designs.
• Conduct tests and simulations to ensure the functionality and reliability of hardware systems.
• Troubleshoot and resolve hardware issues and provide technical support during the product development lifecycle.
• Prepare documentation for hardware designs, specifications, and test procedures.

Preferred Qualifications

• BS, MS or higher degree in Mechanical engineering or a related field, or equivalent practical experience.
• Proven experience in hardware design and prototyping, including both electrical and mechanical components.
• Proficiency in CAD software for mechanical design (Solidworks, Onshape, or other).
• Experience with Arduino or similar platforms for electronic prototyping and control systems.
• Familiarity with 3D printing and rapid prototyping techniques.
• Strong understanding of electronic components, circuit design, and signal processing.
• Experience with testing and debugging hardware systems.

Bonus qualifications:

• Experience with robotics, teleoperation, or digital twin systems
• Experience with human-centered considerations for robot design 
• Experience with actuator and sensor design for high performance haptic devices
• Experience working with high-speed control systems, including low-level firmware

Position Overview

We are seeking a versatile Robotics Software Engineer to develop and implement software solutions for our robotic systems. Your work will entail building systems for navigation, planning and controls, SLAM, manipulation, and/or perception. You should be comfortable working with both general-purpose and specialized robotics applications. This role involves close collaboration with research scientists and machine learning engineers to integrate state-of-the-art machine learning models into our robots.

Responsibilities

• Design, implement, and test software to bring our robots to life, focusing on navigation, planning and control, SLAM, perception, manipulation, and/or high-level behaviors.
• Write and maintain production-level C++ and Python code for our robotic platforms.
• Collaborate with machine learning engineers and researchers to deploy state-of-the-art models on our robots.
• Work with deployment and test engineers to deploy and monitor robotic solutions at various sites, ensuring robust performance and reliability.
• Continuously improve and optimize robotic software for performance, reliability, and scalability.

Preferred Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Proficiency developing in C++ or Python.
• Prior experience developing and deploying software on real robots.
• Strong systems-level understanding of the various software modules and their interfaces in a robotic application Strong technical experience in at least one of the following: navigation, motion planning and controls, SLAM, perception/computer vision, or manipulation.
• Experience with ROS/ROS2 or other robotics middleware platforms.
• Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design.
• Familiarity with machine learning integration and deployment in robotic systems.

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.

Position Overview

We are seeking a versatile Robotics Engineer to develop and implement software solutions for our manipulation systems. The ideal candidate will have experience in controls, perception, and planning. You will be working on deploying state-of-the-art learning-based algorithms on real robot setups, focused on daily manipulation tasks. This role will require close collaboration with researchers and the ML team. The ideal candidate should be comfortable with building high-quality software for robotic manipulation and deploying it on robot hardware.

Responsibilities

• Help design algorithms, models, and techniques for various robotic manipulation tasks.
• Design hardware and software systems for various robotic manipulation tasks.
• Write controllers and perception stacks for real-world robotic deployment.
• Write and maintain production-level C++ and Python code for our robotic manipulation platforms.
• Collaborate with machine learning engineers to deploy state-of-the-art models on our robots.
• Continuously improve and optimize robotic software for performance, reliability, and scalability.

Preferred Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Experience in designing robotic manipulation systems and deploying software on real robots.
• Experience with writing controllers and knowledge of robotics (e.g., kinematics, dynamics, control, motion planning, SLAM).
• Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
• Systems-level understanding of the various software modules and their interfaces in a robotic application (ROS/ROS2, simulators, etc.).
• Publications at top-tier ML, robotics or CV conferences (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR, ECCV, ICCV).
• Experience with designing custom robot hardware solutions.
• Proficiency with various robot learning techniques (RL, imitation learning, etc.).
• Experience working with modern computer vision algorithms, sensors (LiDAR, camera, radar, etc.), 3D (meshes, point clouds, etc.), segmentation, tracking, object detection.

Position Overview

We are looking for a Software Engineer to work at the forefront of developing and optimizing the software infrastructure and tools necessary for training cutting-edge AI models. You will focus on building robust, scalable, and efficient training pipelines and frameworks that support the entire machine learning lifecycle, from data preparation to model deployment. You will collaborate with researchers and machine learning engineers to ensure seamless integration and operation of training systems, pushing the boundaries of what AI can achieve in real-world robotics applications. You will explore new ways to efficiently make use of many types of data in our training pipeline.

Responsibilities

• Develop and maintain robust, scalable, and distributed training pipelines (data preprocessing, training orchestration, and model evaluation) and frameworks for large-scale AI models.
• Optimize training processes for performance and resource utilization, ensuring scalability and reliability.
• Collaborate with researchers and machine learning engineers to integrate state-of-the-art algorithms and techniques into training pipelines.
• Monitor and analyze training, identifying bottlenecks and proposing solutions to improve efficiency and performance.
• Ensure the robustness and reliability of the training infrastructure, including automated testing and continuous integration.

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 in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
• Strong background in distributed computing, parallel processing techniques, handling large-scale datasets and data preprocessing.
• Deep understanding of state-of-the-art machine learning techniques and models.
• Experience with cloud-based training environments (AWS, Google Cloud, Azure).
• Experience in developing and maintaining software tooling and infrastructure for machine learning.
• Deep understanding and practical experience with software engineering principles, including algorithms, data structures, and system design.
• Experience with continuous integration and automated testing frameworks.

Position Overview

We are seeking a proficient Embedded Security Engineer to join our team and contribute to the protection of our models deployed on robotic hardware. You will be responsible for conducting comprehensive threat modeling and security assessments, as well as supporting our engineering teams in adhering to established security standards and requirements. This role involves both software engineering techniques and deep learning methods to encode/encrypt trained models. A blend of technical acumen and collaborative skills is essential, as you will develop solutions to identified risks, write test cases for security controls, and actively participate in offensive security assessments.

Responsibilities

• Conduct detailed threat modeling and security assessments of critical assets.
• Regularly update threat models to reflect evolving threats and changes in the business environment.
• Identify and explore vulnerabilities in critical software components used across our environment.
• Create and implement technical solutions to mitigate identified risks, and maintain test cases to ensure the effectiveness and resilience of the solutions.
• Collaborate with engineering teams to ensure compliance with defined security standards and requirements.
• Provide support in the implementation of security measures.
• Lead penetration tests and red team exercises.

Preferred Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Proficiency developing higher-level languages (e.g., PHP, Python, C++, or Java).
• Experience with deep learning software, frameworks, and APIs (e.g., PyTorch, etc.).
• Experience with enterprise security.
• Proven experience in threat modeling, security assessments, and penetration testing.
• Strong understanding of cybersecurity principles, frameworks, and standards.
• Understanding and experience with securing transfer and storage of deep neural network models.

Position Overview

We're building the future of robotics — and we need sharp, curious operators to help us get there.

As a Robot Operator at Skild AI, you'll get hands-on time with some of the most advanced robots in the world. Data collection is the backbone of robotic intelligence, and your work will directly shape how our robots learn and evolve. If you love being on the frontier of something genuinely new, this role is for you.

Responsibilities

• Operate robotic systems for assigned tasks (e.g., packing, insertion, assembly, etc.).
• Follow established procedures for teleoperation and data collection.
• Maintain efficiency, safety, and instructional accuracy in robotic operations.
• Collaborate with supervisors and team leads to optimize workflow.
• Adhere to company policies regarding workplace conduct and performance standards.

Preferred Qualifications

• Physical ability to remain seated for extended periods and perform repetitive tasks
• Ability to communicate and follow instructions
• Baseline technical literacy
• This role requires you to be available for a minimum of 3 8-hour shifts per week.
• You will be expected to meet a bar of performance on both the quality and quantity of the data you collect. 

Position Overview

We are seeking an experienced Electrical Engineer to join Skild AI and help drive innovation in robotics technology. In this role, you’ll design DC power systems, integrate sensors, and collaborate on advanced motor driver and power electronics. You’ll play a key part in hardware design, testing, and system validation to ensure reliability and performance in cutting-edge robotics solutions.

Responsibilities

• Design and implement DC power systems, including battery management systems, monitoring, and protection.
• Collaborate with firmware engineers to design and validate motor driver circuits and power electronics systems.
• Integrate and fuse sensor data, including IMUs, encoders, hall sensors, and temperature sensors (PCB-level design).
• Develop and test power/sensor electronics systems in collaboration with hardware and firmware teams.
• Ensure system reliability through testing, validation, and debugging of hardware systems in the lab.
• Document design processes and contribute to hardware best practices.

Preferred Qualifications

• Bachelor’s or Master’s degree in Electrical Engineering, Robotics, or Mechatronics.
• Hands-on experience with DC power systems, battery management, and power electronics.
• Strong understanding of sensor integration, including IMUs, encoders, and hall sensors.
• Familiarity with low-level communication protocols such as RS-485, CAN, and SPI.
• Experience with hardware design, PCB layout, and debugging.
• Proficiency in power electronics design, including motor drivers and circuit design.
• Excellent problem-solving skills and ability to handle system-level challenges.
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Position Overview

We are seeking a proficient Firmware Engineer that will develop and optimize firmware for BLDC motor control and real-time embedded systems. Key responsibilities include implementing control algorithms, debugging communication protocols, and integrating firmware with frameworks like ROS, while collaborating with hardware teams to ensure system performance. 

Responsibilities

• Develop and optimize firmware for BLDC motor control, including advanced control algorithms and system identification.
• Design, debug, and integrate low-level communication protocols such as RS-485, CAN, UART, and SPI.
• Implement and maintain real-time systems using RTOS (e.g., FreeRTOS, RT Linux, VxWorks).
• Collaborate with hardware engineers to design and validate motor driver circuits and power electronics systems.
• Integrate firmware into higher-level communication frameworks, such as DDS (Distributed Data Service), e.g., ROS.
• Test, validate, and debug firmware systems in the lab.
• Document firmware design processes and contribute to best practices.

Preferred Qualifications

• Bachelor’s or Master’s degree in Electrical Engineering, Robotics, or Mechatronics.
• Hands-on experience in firmware development for robotics, motor control, or embedded systems.
• Expertise in BLDC motor control, including FOC (Field-Oriented Control), PWM, and current/position control techniques.
• Proficiency in low-level communication protocols such as RS-485, CAN, and SPI.
• Experience with real-time embedded systems (e.g., FreeRTOS, RT Linux).
• Familiarity with DDS frameworks (e.g., ROS).
• Proficient in C/C++ for embedded systems and adept with debugging tools.
• Excellent problem-solving skills and ability to handle complex system integration challenges.

Position Overview

We are looking for a Deep Learning Engineer to develop and refine models for robotic manipulation. You will design, train, and deploy algorithms that enable robots to interact intelligently and adapt to their environments. Working closely with our machine learning, robotics, and research teams, you’ll ensure these models are robust, efficient, and ready for real-world challenges. Your work will directly advance Skild AI’s robotics capabilities, enabling robots to perform complex tasks autonomously.

Responsibilities

• Design, implement, and optimize deep learning models for robotic manipulation.
• Model robotic manipulation processes to enable analysis, simulation, planning, and controls
• Collaborate with cross-functional teams to develop scalable and generalizable manipulation solutions for deployment in robotic systems.
• Work with inference, deployment, and application teams to integrate deep learning models seamlessly into robotic platforms.

Preferred Qualifications

• BS, MS, or higher degree in Computer Science, Robotics, Mechanical Engineering, or a related field, or equivalent practical experience.
• Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
• Proficiency with advanced deep learning techniques and architectures as well as reinforcement learning and or imitation learning.
• Experience with distributed deep learning systems.

Position Overview

We are looking for a Software Engineer to work at the forefront of deploying our cutting-edge AI models, enhancing the performance and capabilities of our embodied systems. You will be responsible for optimizing AI inference processes from lightweight to billion-parameter models, ensuring our robots operate with unmatched efficiency and intelligence in real-world environments. You will work at the intersection of systems and machine learning, directly contributing to making our AI models more powerful and adaptive by ensuring consistent performance in light of variable and perhaps unforeseen compute and hardware constraints.

Responsibilities

• Develop and optimize runtime AI inference pipelines for real-world robotic deployment.
• Build infrastructure, frameworks, and tooling to enable reliable integration of models into robotic systems and informative analysis of production models to drive the direction of architecture choice and deployment system design.
• Formulate specialized optimization solutions for various inference paradigms and scenarios (autoregressive models, denoising models, hierarchical models, state machines, multi-agent systems, cloud-based inference).
• Adapt optimization solutions to various compute, hardware, and networking constraints.

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 in low-level systems languages (C, C++, Rust, Go), Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
• Deep understanding and practical experience with low-level systems concepts (multithreading, networking, embedded systems, memory management).
• Experience with CUDA.
• Deep understanding of state-of-the-art machine learning techniques and models.
• Experience optimizing various machine learning architectures.
• Experience with machine learning compilers.
• Experience optimizing model inference for robotic systems deployment.

Position Overview

We are seeking a Lead Industrial Designer to drive the design and user experience of our next-generation robotic systems. In this role, you will collaborate with engineering, software, and UX teams to create intuitive, functional, and visually compelling robotic solutions. Your designs will shape human-robot interaction, blending practicality with innovation.

Responsibilities

• Lead industrial design strategy from concept to production.
• Develop and refine concepts through sketches, CAD models, and prototypes.
• Ensure feasibility and manufacturability in collaboration with engineering teams.
• Define materials, finishes, and ergonomics for optimal usability.
• Conduct user research and usability testing to enhance interaction design.
• Align designs with branding for a cohesive product experience.
• Present concepts to stakeholders and leadership.
• Stay ahead of industry trends and emerging technologies.

Preferred Qualifications

• Bachelor’s or Master’s in Industrial Design, Product Design, or related field.
• 7+ years of experience in industrial design, with a strong portfolio in robotics, automation, or hardware.
• Proficiency in CAD software (SolidWorks, Rhino, etc.) and rendering tools (KeyShot, Blender).
• Experience with human-centered design and ergonomic principles.
• Strong knowledge of materials, manufacturing, and production techniques.
• Experience designing robotic systems, consumer electronics, or automation products.
• Familiarity with UI/UX principles for hardware interfaces.
• Knowledge of rapid prototyping (3D printing, CNC machining).
• Understanding of mechanical engineering and hardware collaboration.