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Salary: USD 150,000 - 185,000 / annual
Xaira Therapeutics is an AI-driven biotech startup developing generative AI models for protein and antibody drug design, foundation models for biology, and next-generation lab automation platforms. The company is headquartered in the San Francisco Bay Area with additional offices in Seattle and London.
As a Robotics Systems & Simulation Engineer, you will own the simulation and digital-twin infrastructure that enables rapid deployment of vision-guided robots to new laboratory instruments. You will bridge digital environments with physical robotic systems, making robotic capabilities easier to adapt and deploy across different equipment and settings.
Key responsibilities include:
- Building integrated Real2Sim and Sim2Real workflows reusable across robotic platforms and laboratory environments
- Creating and validating digital twins from CAD, robot, and sensor models, including coordinate alignment, articulation, and collision geometry
- Connecting simulation, perception, motion planning, and physical execution through the robot control stack, with state feedback and synchronization
- Integrating AI models and task-level state machines with simulation and robotic tools
- Building synthetic-data and augmentation workflows with synchronized video and telemetry capture, replay, and evaluation
- Benchmarking system accuracy, reliability, latency, and GPU resource usage across local and cloud environments
- Collaborating with software engineers on configuration and operator tools to reduce manual setup effort
- Working with scientists to integrate new capabilities, debug physical systems, and document architecture and procedures
This is a hands-on, on-site role spanning software, 3D geometry, simulation, and hardware. You will work alongside robotics, AI, software, and automation engineers to develop and validate integrated systems from prototype through real-world operation.
REQUIREMENTS:
- Bachelor's, Master's, or PhD in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or related field (recent graduates with substantial relevant research or project experience encouraged)
- Strong software engineering skills in 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 ability to learn unfamiliar methods while critically validating software and AI-generated outputs
PREFERRED QUALIFICATIONS:
- Experience with 3D reconstruction, CAD/robot-model pipelines, RGB-D perception, multi-view fusion, or learned scene representations
- Experience integrating LLMs, vision-language models, AI agents, or Model Context Protocol (MCP) servers with external tools and physical systems
- Experience with spatial or object reasoning, active perception, or perception of transparent, reflective, or partially occluded objects
- Experience with video understanding, human-object interaction, learning from demonstrations, or imitation learning
- Experience with GPU profiling, CUDA programming, accelerated inference, or edge deployment
- Experience with 6-axis robotic arms, mobile robots, laboratory instruments, or hands-on mechanical prototyping
- Experience mentoring students, interns, or junior engineers
