Robotics Systems & Simulation Engineer

The role

You will connect digital simulation environments with physical robotic systems. You will own the simulation and digital-twin infrastructure used to bring vision-guided robots to new laboratory instruments.

What you will do

• Build reusable Real2Sim and Sim2Real workflows across robotic platforms and lab environments.
• Create and validate digital twins from CAD, robot and sensor models, and reconstructed scenes.
• Connect simulation, perception, motion planning and physical execution through the robot control stack.
• Integrate AI models and task-level state machines with simulation and robotic tools.
• Build synthetic-data workflows and synchronized video and telemetry capture and replay tools.
• Benchmark accuracy, reliability, latency and GPU use; improve performance across local and cloud environments.
• Collaborate with software engineers on configuration and operator tools; validate new installations.
• Work with scientists to integrate new capabilities, debug physical systems and document procedures.

Required qualifications

• Bachelor's, Master's or PhD in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering or a related field. Recent graduates with substantial relevant experience are encouraged to ap
• Strong software engineering skills in Python, C++ or C#, with experience in Linux.
• Hands-on experience with robotics simulations or digital twins using Isaac Sim, MuJoCo, Gazebo or comparable tools.
• Solid understanding of 3D coordinate transformations, robot kinematics, calibration and simulated-to-physical model relationships.
• Experience integrating robots, sensors or physical systems through APIs, SDKs, ROS2 or comparable middleware.
• Familiarity with GPU computing and cloud-based workflows.
• Strong debugging and experimental skills and clear technical communication.
• Ability to learn unfamiliar methods and critically validate software and AI-generated outputs.

Nice to have

• Experience with 3D reconstruction, CAD/robot-model pipelines, RGB-D perception or learned scene representations.
• Experience integrating LLMs, vision-language models, AI agents or MCP servers with external tools and physical systems.
• Experience with spatial reasoning, active perception, or perception of transparent or reflective objects.
• Experience with video understanding, imitation learning or other robot-learning methods.
• Experience with GPU profiling, CUDA programming, accelerated inference or edge deployment.
• Experience with 6-axis robotic arms, mobile robots, laboratory instruments or mechanical prototyping.
• Experience mentoring students, interns or junior engineers.

Benefits

• Competitive compensation and benefits package.
• Base salary, bonus and equity.
• Hands-on ownership of robotics and simulation systems in a biotechnology laboratory.
• Access to advanced robotic platforms, scientific instrumentation, GPU computing and AI development tools.
• Technical mentorship and opportunities to mentor research interns and residents.
• Cross-disciplinary growth across biology, mechanical and computational engineering.
• A Summary of Benefits is available to all applicants.

Before you apply

• Xaira Therapeutics is an equal-opportunity employer.
• The company does not accept agency resumes.

About the company

Xaira is a biotech startup using AI to transform drug discovery and development, including generative models for protein and antibody therapeutics. It is headquartered in the San Francisco Bay Area, Seattle and London.