# Robotics Systems & Simulation Engineer at Xaira Therapeutics

Xaira Therapeutics is hiring a Robotics Systems & Simulation Engineer in South San Francisco, United States. It pays $150k-$185k a year and Level rates it Builds AI ●●●●; you can [apply on Xaira Therapeutics](https://jobsbylevel.com/go/d0ec2150-53e0-4420-8ebe-bbcec8f229ad?utm_medium=ai-agent).

AI Level 4, AI centrality 85 out of 100. South San Francisco, California, United States.

## Details

- Company: [Xaira Therapeutics](https://jobsbylevel.com/companies/xaira-therapeutics)
- AI level: AI Level 4 (score 85 out of 100)
- Location: South San Francisco, California, United States
- Salary: $150k-$185k
- Posted: October 21, 2026
- Apply: https://jobsbylevel.com/go/d0ec2150-53e0-4420-8ebe-bbcec8f229ad?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=robotics-systems-simulation-engineer-at-xaira-therapeutics-d6b3ba

## Prepare for this job

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## Description

About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London. About the Role We are building a next-generation lab automation and robotics platform that brings together robotic systems, simulation, computer vision, and AI to improve the speed, reliability, reproducibility, and scale of experimental biology. As a Robotics Systems & Simulation Engineer, you will connect digital environments with physical systems and make robotic capabilities easier to adapt to new equipment and settings. You will own the simulation and digital-twin infrastructure that lets us bring vision-guided robots to new instruments quickly, and that serves as the testbed for robotics control, perception, and embodied AI. Working alongside robotics, AI, software, and automation engineers, you will develop and validate integrated systems from prototype through real-world operation. This is an on-site hands-on role spanning software, 3D geometry, simulation, and hardware. We value strong fundamentals, practical problem-solving, and the ability to learn across disciplines using modern engineering and AI development tools. What You’ll Do Build integrated Real2Sim and Sim2Real workflows that can be reused across robotic platforms and laboratory environments. Create and validate digital twins from CAD, robot and sensor models, and reconstructed scenes, including coordinate alignment, articulation, and collision geometry. Connect simulation, perception, motion planning, and physical execution through the existing robot control stack, including robot state feedback and synchronization; investigate discrepancies between simulated and measured behavior. Integrate AI models and task-level state machines with simulation and robotic tools, including structured requests, action validation, and execution feedback. Build synthetic-data and augmentation workflows, along with synchronized video and telemetry capture, replay, and evaluation tools. Benchmark system accuracy, reliability, latency, and GPU resource use; improve performance across local and cloud computing environments. Collaborate with software engineers on reusable configuration and operator tools; validate new installations and reduce manual setup effort. Work with scientists to integrate new capabilities, debug physical systems, and document architecture, experiments, and operating procedures. Qualifications (Required): Bachelor's, Master's, or PhD in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related field. Recent graduates with substantial relevant research or project experience are encouraged to apply. Strong software engineering skills in one or more languages such as Python, C++, or C#, with experience developing and debugging integrated applications in Linux. Hands-on experience building or extending robotics simulations or digital twins using Isaac Sim, MuJoCo, Gazebo, or comparable tools. Solid understanding of 3D coordinate transformations, robot kinematics, calibration, and the relationship between simulated models and physical systems. Experience integrating robots, sensors, or other physical systems through APIs, SDKs, ROS2, or comparable middleware. Familiarity with GPU computing and cloud-based workflows for simulation, AI, or data processing. Strong debugging and experimental skills, clear technical communication, and the ability to learn unfamiliar

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