Position Overview

The Manufacturing Design Engineer will support the transition of robotic prototypes into small-scale production. This role combines mechanical design with hands-on assembly, working directly with hardware to ensure systems can be built, tested, and maintained reliably. You will design the fixtures, tooling, and processes required to assemble and operate a small fleet of robots, while collaborating closely with engineering teams to improve manufacturability and build efficiency as designs evolve.

Responsibilities

• Use CAD tools (SolidWorks, Fusion 360, or similar) to design and iterate on assembly jigs, test fixtures, and specialized tooling that improve build speed and repeatability.
• Perform full-system assembly of robotic prototypes and small-batch production units, integrating mechanical, electrical, and sensing components.
• Build and route cable harnesses, integrate sensors and actuators, and bring robotic subsystems together into functional platforms.
• Provide DFM/DFA feedback during early design phases to identify assembly challenges and improve robustness, serviceability, and scalability.
• Create and maintain assembly procedures, bills of materials (BOMs), and test protocols that enable consistent builds across the fleet.

Preferred Qualifications

• Background in a technician, assembly, robotics, or shop-heavy environment. Comfortable using common hand tools, power tools, and lab equipment.
• Professional experience designing functional parts, fixtures, or mechanical systems in a modern CAD environment.
• Ability to read electrical schematics and perform tasks such as crimping, soldering, and cable harness fabrication.
• Experience working with evolving hardware designs and supporting the transition from prototype to production.
• Experience writing manufacturing process instructions (MPIs) or assembly documentation
• Hands-on prototyping experience with 3D printing, mills, or lathes
• Familiarity with hardware version control processes (ECOs/ECNs) and documentation systems
• Experience building or assembling robotic systems

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 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 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’re looking for a Technical Animator to help bring our robotic simulations to life. In this role, you'll work closely with the simulation, perception, and autonomy teams to develop high-fidelity motion systems and animations for human and robot avatars. Your work will directly support model training and evaluation, helping us generate realistic motion data to train large-scale neural networks

Responsibilities

• Build high-quality motion capture systems
• Collaborate with robotics teams to synthesize realistic robot motions
• Collaborate with ML teams to develop state-of-the-art techniques for motion generation
• Design and build pipelines for processing animation data

Preferred Qualifications

• 3+ years of industry experience in technical animation, game development, VFX, or simulation
• Competence in building accurate motion capture systems
• Strong foundation in rigging, character animation, and physics-based motion systems
• Familiarity with deep-learning based motion synthesis techniques
• Background working with humanoid or robotic characters in simulation

Position Overview

We are looking for a React Native Developer to join our team in building mobile applications for robot control and monitoring. This role focuses on creating robust, real-time mobile interfaces that interact with our robotics systems using advanced web technologies.

Responsibilities

• Develop and maintain our React Native mobile applications
• Implement real-time communication features using WebSocket and other technologies
• Create 3D visualizations and controls using React Three Fiber
• Optimize application performance and ensure smooth user experience
• Write Unit and Integrations tests
• Write and Maintain Documentations
• Collaborate with the UI/UX team to implement designs
• Write clean, maintainable, and well-documented code
• Participate in code reviews and technical discussions

Basic Qualifications

• Bachelor's degree in Computer Science or related field
• Strong foundation in JavaScript/TypeScript
• Experience with React or React Native development
• Understanding of mobile app development principles
• Knowledge of state management and API integration

Preferred Qualifications

• Experience with WebSocket implementations
• Knowledge of React Three Fiber or Three.js
• Familiarity with ROS or other robotics-related technologies
• Experience with real-time data visualization
• Understanding of WebRTC.
• Knowledge of mobile app performance optimization
• Experience with cross-platform development 

Position Overview

We are looking for a Robotics Engineer specializing in Deployment & Testing to help further the performance and capabilities of Skild AI’s world-class high-level software and products through formalized, rigorous testing. You will design and implement automated software tests and the ecosystems in which they run. As a critical member of the robotics team, you will have an important role in defining the quality standards of our software while accelerating its development.

Responsibilities

• Define, implement, and maintain comprehensive regression tests for Skild AI’s software and products.
• Design and organize test plans according to priority, impact, risk, and feasibility.
• Debug and troubleshoot failures in complex scenarios while testing and/or deployment at customer sites.
• Maintain robots and ensure they are deployment ready.
• Recreate corner cases from production logs into repeatable tests.
• Collaborate closely with robotic software developers and machine learning engineers and provide feedback on what needs to be improved to produce and sustain a top-quality product that meets customer expectations.

Preferred Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Proficiency developing in low-level systems languages (C, C++, Rust, Go) and Python.
• Experience with complex software systems working in real-time with embedded systems.
• Experience with Test Management and Requirements software.
• Experience with ROS/ROS2 or other robotics middleware platforms.
• Previous work experience as a Test Engineer.
• Prior experience developing and deploying software on real robots.
• 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

You will have the unique opportunity to work with our cutting-edge robots and help shape the future of their capabilities. Data collection is a critical component of building robotic intelligence, and we're looking for operators who have a high degree of attention to detail, ability to learn and follow instructions for new setups and tasks quickly, and a problem-solving attitude.

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

Other Details

• 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

Skild AI, Inc. seeks a Senior Software Engineer, AI Training & Infrastructure in San Mateo, CA responsible for building and scaling training infrastructure and tools that support the full ML lifecycle—data preparation, training orchestration, evaluation, and deployment—for real-world robotics applications. This includes performance, reliability, observability, and developer productivity across distributed training systems, as well as data processing for multimodal datasets, performance tuning of training jobs, and media processing/compression (e.g., ffmpeg). Specific duties include: (i) architecting, building, and maintaining distributed training pipelines and frameworks spanning data ingest/preprocessing, large-scale training, and evaluation; (ii) optimizing training performance and resource utilization by identifying bottlenecks and implementing improvements in data loading, I/O, caching, sharding, and prefetching; (iii) integrating state-of-the-art ML techniques into production training systems in collaboration with research/ML teams; (iv) implementing monitoring, logging, alerting, automated testing, and CI/CD for reliable training operations; and (v) developing developer tooling and documentation, including dashboards and utilities, to streamline experimentation at scale and improve engineer productivity.

Responsibilities

• Architecting, building, and maintaining distributed training pipelines and frameworks spanning data ingest/preprocessing, large-scale training, and evaluation.
• Optimizing training performance and resource utilization by identifying bottlenecks and implementing improvements in data loading, I/O, caching, sharding, and prefetching.
• Integrating state-of-the-art ML techniques into production training systems in collaboration with research/ML teams.
• Implementing monitoring, logging, alerting, automated testing, and CI/CD for reliable training operations.
• Developing developer tooling and documentation, including dashboards and utilities, to streamline experimentation at scale and improve engineer productivity.

Minimum Requirements

• Must have a master’s degree (or foreign equivalent) in Computer Science, Robotics, Engineering, or a related field and two (2) years of experience in machine learning infrastructure. Experience can be concurrent.
• Must also have two (2) years of experience designing and operating distributed training pipelines at scale, including data preprocessing, orchestration, and evaluation. Experience can be concurrent.
• Must have any experience with each of the following: (i) Python or C++ and at least one deep learning library (e.g., PyTorch, TensorFlow, or JAX); and (ii) CI/CD and automated testing for ML/infra services. Experience can be concurrent.
• Must have knowledge of: (i) optimizing data loading and I/O for deep learning workloads (e.g., PyTorch DataLoader, sharding, prefetching, or caching); (ii) processing multimodal datasets and formats (e.g., HDF5, TFRecord, Parquet, or equivalent) and image processing/compression (e.g., OpenCV or ffmpeg); (iii) cloud-based training in AWS, Google Cloud, or Azure; (iv) implementing monitoring, logging, and alerting for training systems; (v) Linux OS fundamentals and operation at large scale; (vi) distributed systems and ML training techniques/models; and (vii) core software engineering principles, including algorithms, data structures, and system design. Experience can be concurrent.

Apply online at skild.ai/career.

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 Hardware Engineers to help build and maintain our robotic systems. You will be responsible for designing, developing, and testing hardware systems that integrate mechanical as well as electrical components. You will work closely with cross-functional teams to ensure our products achieve the highest standards of performance, reliability, and efficiency.

Responsibilities

• Design and develop hardware systems, including circuit boards, processors, and mechanical assemblies.
• Create detailed CAD models and drawings for jigs, fixtures, and tools using SolidWorks or other 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 Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Proven experience in hardware design and development, including both electrical and mechanical components.
• Proficiency in SolidWorks or other CAD software for mechanical design.
• 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.

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 Computer Vision AI & ML Engineer to design, build, and deploy advanced perception systems for real-world robotics and automation. You will work across the full machine learning lifecycle—model development, data strategy, evaluation, and production integration—to deliver robust, high-performance vision capabilities. This role combines applied research with hands-on engineering and offers the opportunity to influence both architecture and roadmap decisions.

Responsibilities

• Develop and optimize deep learning models for object detection, segmentation, tracking, and 3D scene understanding using multi-modal sensor data.
• Build scalable pipelines for data processing, training, evaluation, and deployment into real-world and real-time systems.
• Design labeling strategies and tooling for automated annotation, QA workflows, dataset management, augmentation, and versioning.
• Implement monitoring and reliability frameworks, including uncertainty estimation, failure detection, and automated performance reporting.
• Conduct proof-of-concept experiments to evaluate new algorithms and perception techniques; translate research insights into practical prototypes.
• Collaborate with robotics, systems, and simulation teams to integrate perception models into production pipelines and improve end-to-end performance.

Preferred Qualifications

• Strong experience with deep learning frameworks (PyTorch, TensorFlow, or JAX).
• Background in computer vision tasks such as detection, segmentation, tracking, or 3D scene understanding.
• Proficiency in Python; familiarity with C++ is a plus.
• Experience building training pipelines, evaluation frameworks, and ML deployment workflows.
• Knowledge of 3D geometry, sensor processing, or multi-sensor fusion (RGB-D, LiDAR, stereo).
• Experience with data annotation tools, dataset management, and augmentation techniques.
• Familiarity with robotics, simulation environments (Isaac Sim, Gazebo, Blender), or real-time systems.
• Understanding of uncertainty modeling, reliability engineering, or ML monitoring/MLOps practices.

Position Overview

We are seeking a creative and technically skilled UI/UX Designer to join our robotics team in crafting intuitive interfaces for robot control applications and web platforms. This role combines traditional UI/UX design with 3D visualization and interaction design, requiring both artistic vision and technical implementation skills.

Responsibilities

• Design and implement user interfaces for robot control applications using React Three Fiber
• Create and optimize 3D models and meshes using Blender for various applications
• Design intuitive dashboards and monitoring interfaces for robot management systems
• Develop immersive VR experiences for robot interaction and control
• Create responsive web designs for company platforms and products
• Collaborate with development team to ensure proper implementation of designs
• Conduct user research and usability testing to improve interface designs

Basic Qualifications

• Bachelor's degree in Design, Computer Science, or related field
• Strong portfolio demonstrating UI/UX design skills
• Proficiency with Figma or similar design tools
• Basic understanding of web technologies and responsive design
• Strong visual design skills and attention to detail

Preferred Qualifications

• Experience with 3D modeling and Blender
• Knowledge of React Three Fiber or Three.js
• Experience with WebXR or VR interface design
• Understanding of 3D visualization and interaction patterns
• Experience with motion design and animations
• Previous work on dashboards or control system interfaces

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 looking for a Research Engineer who is passionate about delivering results in the real world. As a member of the post-training team, you’ll be responsible for improving Skild foundation models and deploying them onto robots in the field. You’ll work with customers and deployment data to deliver reliable robot behavior in real-world environments, ensuring our systems are safe, efficient, and robust under operational constraints.

We work across the final mile of robotics: turning strong lab performance into dependable customer deployments and continuous improvement. By bridging this gap, you will define the standard for how autonomous systems scale from experimental prototypes into indispensable global infrastructure.

Responsibilities

• Research, post-train and evaluate large deep learning models for robotic manipulation tasks.
• Develop frameworks to continuously improve robot behaviors.
• Collaborate closely with our product teams to source and iterate on customer requirements to ensure technical alignment for on-site deployments.
• Own scenario setup and data collection methodologies, managing the operational lifecycle for unique customer use-cases.
• Work with our robotics teams to maintain and ensure robots are deployment-ready and execute full-stack software and hardware deployments at customer sites.
• Build robust testing and evaluation pipelines for tracking model improvements and corner cases.

Preferred Qualifications

• BS, MS or PhD degree in Computer Science, Robotics, 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.
• Deep technical knowledge in computer vision and deep learning for robotics, including reinforcement and imitation learning.
• Prior experience working with large-scale model training.
• Prior experience developing and deploying ML models or software on real robots.
• Prior experience with ROS/ROS2 or other robotics middleware platforms.
• Bonus if you have experience working with customers and deploying real-world robotics applications.
• Bonus if you have experience leveraging LLMs to accelerate development and solve complex engineering problems.

Position Overview

We are looking for a Robotics Engineer specializing in Deployment & Testing to help further the performance and capabilities of Skild AI’s world-class high-level software and products through formalized, rigorous testing. You will design and implement automated software tests and the ecosystems in which they run. As a critical member of the robotics team, you will have an important role in defining the quality standards of our software while accelerating its development.

Responsibilities

• Define, implement, and maintain comprehensive regression tests for Skild AI’s software and products.
• Design and organize test plans according to priority, impact, risk, and feasibility.
• Debug and troubleshoot failures in complex scenarios while testing and/or deployment at customer sites.
• Maintain robots and ensure they are deployment ready.
• Recreate corner cases from production logs into repeatable tests.
• Collaborate closely with robotic software developers and machine learning engineers and provide feedback on what needs to be improved to produce and sustain a top-quality product that meets customer expectations.

Preferred Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Proficiency developing in low-level systems languages (C, C++, Rust, Go) and Python.
• Experience with complex software systems working in real-time with embedded systems.
• Experience with Test Management and Requirements software.
• Experience with ROS/ROS2 or other robotics middleware platforms.
• Previous work experience as a Test Engineer.
• Prior experience developing and deploying software on real robots.
• 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 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.

Position Overview

We are seeking a Physics Simulation Scientist to lead advancements in the simulation and physics-solving backbone behind Skild’s robot foundation model training. You will collaborate with external experts in GPU-accelerated physics engines and work with our internal robotics and learning teams to build a next-generation, open-source simulation stack for robotics sim-to-real.

You’ll partner closely with engineers scaling simulation scene generation and with ML researchers pushing the limits of sim-to-real transfer. The ideal candidate brings deep physics-simulation expertise plus hands-on experience implementing and optimizing algorithms on modern GPUs.

Responsibilities

• Improve and develop new physics solvers and modeling methods for high-DoF, contact-rich robotics tasks.
• Design and implement GPU-accelerated solvers with a focus on throughput, stability, and scalability.
• Profile and optimize simulation performance on modern GPU hardware and distributed clusters.
• Work with external collaborators and the open-source community to advance simulation for robotics.
• Collaborate with scene-generation engineers to scale robotic experience across diverse real-world environments.
• Partner with ML researchers to improve sim-to-real transfer through better physical modeling, calibration, and training regimes.
• Contribute to the long-term technical direction of Skild’s physical modeling and sim-to-real strategy.

Preferred Qualifications

• MS or PhD in Physics, Robotics, Computer Science, Applied Math, Engineering, or a related field, or equivalent hands-on experience.
• Strong track record working on physics engines or high-fidelity simulators for articulated rigid bodies; experience with deformables, fluids, or differentiable simulation is a plus.
• Deep understanding of dynamics, contact modeling, constraint-based methods, and integrators, including accuracy–speed tradeoffs.
• Expertise in CUDA and GPU programming with proven ability to optimize for scale.
• Proficiency in C++ and Python, and experience building reliable systems used by other technical teams.
• Familiarity with how modern ML/RL pipelines consume simulation (vectorized environments, domain randomization, large-scale rollouts).
• Experience with real robot platforms and strong intuition for where simulation diverges from reality.
• Publications, open-source contributions, or shipped systems in simulation, robotics, graphics, or numerical computing are a strong plus.

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 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 DevOps Engineer to design, build, and maintain the infrastructure that powers Skild AI’s robotics development at scale. You will own the systems that let our engineering teams move fast — from build tooling and CI/CD pipelines to cross-platform hardware-in-the-loop testing infrastructure. This is a foundational role: you will be setting up and scaling critical systems in a company that is growing quickly, working directly alongside machine learning, robotics software, and hardware engineers to keep our development cycles fast and our deployments reliable.

Responsibilities

• Own and scale Bazel/Skylark build infrastructure from scratch, including custom rules, toolchains, and remote caching across a multi-language codebase.
• Build and maintain CI/CD pipelines for automated software and hardware-in-the-loop (SIL/HIL) testing using Jenkins or equivalent.
• Develop cross-compilation toolchains and system library packages targeting ARM/aarch64 embedded Linux platforms and integrate them into the build system.
• Manage cloud and on-premise infrastructure (AWS/GCP/Azure) supporting model training, simulation, and deployment.
• Maintain infrastructure-as-code (Terraform, Ansible) and own developer environment tooling to accelerate engineering iteration.
• Collaborate with ML, robotics software, and hardware engineers to resolve infrastructure bottlenecks and define tooling roadmaps.

Preferred Qualifications

• BS, MS, or higher in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 5+ years in DevOps, infrastructure engineering, or build/release engineering.
• Hands-on experience owning a Bazel/Skylark build system from scratch at a 100–500 person company, including custom rules, platforms, and toolchain configuration.
• Experience packaging system libraries for cross-compilation to ARM/aarch64 embedded Linux platforms.
• Proven track record building automated SIL/HIL test pipelines (Jenkins or equivalent) for robotics or embedded systems.
• Strong Python and Bash scripting; solid Linux internals, Docker, and cross-compilation knowledge.

Position Overview

We are seeking a versatile Robotics Manipulation & Controls 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, planners, 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 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 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

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 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 looking for a Mechatronics Technician to join our team to develop the systems and processes that ensure quality, reliability, and performance across our robotics and autonomous platforms. This role will involve working hands-on with aerial, ground, and integrated hardware systems—building prototypes, fabricating test setups, and supporting manufacturing workflows. You’ll collaborate closely with Electrical, Mechanical, and Firmware Engineers to accelerate prototyping, improve reliability, and lay the foundation for scalable production.

Responsibilities

• Build and test prototypes, sub-assemblies, and feasibility units under engineering guidance.
• Interpret schematics, diagrams, and layouts to perform testing, checkout, troubleshooting, and rework of PCBAs and harnesses.
• Fabricate custom test equipment, boxes, and harnesses; procure and source components as needed.
• Operate and set up standard test equipment (oscilloscopes, analyzers, supplies, DMMs) and perform PCBA/cable rework to IPC standards.
• Adapt plans quickly in a fast-paced environment with evolving goals.

Preferred Qualifications

• 3+ years’ experience as an engineering technician in a prototype or development lab.
• Strong ability to read/interpret PCBA schematics, cable drawings, and test procedures independently.
• Experience with prototype electro-mechanical hardware (PCBAs, cables, harnesses, robotic/vehicle systems).
• Hands-on skills: soldering, crimping, rework, cable assembly to IPC standards; familiarity with electrical components, connectors, tools, and test equipment.
• Solid grasp of fundamental electrical engineering concepts.

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.

Position Overview

You will have the unique opportunity to work with our cutting-edge robots and help shape the future of their capabilities. Data collection is a critical component of building robotic intelligence, and we're looking for operators who have a high degree of attention to detail, ability to learn and follow instructions for new setups and tasks quickly, and a problem-solving attitude.

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

Other Details

• 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.