Staff Robotic Simulation Software Engineer

Analog Devices•San Jose, CA

About The Position

Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X). Staff Robotic Simulation Software Engineer Analog Devices (ADI) is launching an exciting new initiative — the Emerging Tech Hub — a physical space where customers, partners, and academic collaborators can rapidly prototype solutions tailored to their unique challenges. We are seeking a highly skilled and motivated Robotics Engineer with expertise in developing and testing AI-driven robotic applications using NVIDIA Isaac Sim. The ideal candidate will be responsible for designing and implementing simulation environments to generate and train AI/ML models for robot control and perception. A strong background in integrating data from vision, force/torque, and tactile sensors is essential. This role involves working at the intersection of robotics, AI, and high-fidelity simulation.

Requirements

Education: Bachelor's or Master's degree in Robotics, Computer Science, Electrical Engineering, or a related technical field.
Experience: 3+ years of professional experience in robotics software development.
Isaac Sim Expertise: Proven hands-on experience developing sophisticated simulation environments and synthetic data generation pipelines using NVIDIA Isaac Sim (or a comparable platform like Gazebo/ROS, V-REP, or MuJoCo, with a strong willingness to transition).
Programming: Strong proficiency in Python and experience with C++ is a plus.
Robotics Frameworks: Experience with the Robot Operating System (ROS).
Sensor Knowledge: Deep understanding of data processing and calibration for robotic sensors, particularly: Vision: Camera models, point clouds, computer vision techniques. Force/Torque: Interpretation of F/T sensor data for compliant control or contact detection. Tactile: Experience integrating data from various tactile sensing modalities.
AI/ML Fundamentals: Familiarity with machine learning concepts, especially in the context of robot perception and control (e.g., PyTorch, TensorFlow).

Responsibilities

Simulation Development: Design, implement, and maintain complex, photorealistic, and physically accurate robotic simulation environments within Isaac Sim (built on Omniverse). Develop custom assets, scripts, and world layouts to represent diverse operational scenarios for robot training.
Sensor Integration & Data Generation: Configure and utilize virtual sensors within Isaac Sim, specifically vision (e.g., RGB-D, LiDAR), force/torque (F/T), and tactile sensors, ensuring accurate data output for training. Develop pipelines for large-scale, automated synthetic data generation and annotation from the simulation for AI model training.
AI/ML Model Development & Training: Integrate and test AI/ML models (e.g., reinforcement learning, imitation learning, deep learning for perception) with the simulated robot system. Utilize Isaac Sim's tools (e.g., Omniverse Replicator) to manage domain randomization and simulate edge cases to improve model robustness.
Robot Control & Validation: Develop and implement low-level and high-level robot control algorithms within the simulation. Validate the performance of trained AI models in simulation before deployment on physical hardware.
Collaboration & Documentation: Collaborate closely with hardware, software, and AI research teams. Document development processes, simulation parameters, and AI training methodologies.