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Xaira Therapeutics

AI-powered protein design for therapeutics

Robotics Control Software Engineer

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timeSouth San Francisco, CA, USAIn-person

About the Job

Requirements

  • A Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Mechanical Engineering, or a related field is required.
  • Strong software engineering skills in one or more modern programming languages, such as Python, C++, or C#, and experience with cloud-based workflows and production software systems are required.
  • Familiarity with robotics software frameworks such as ROS2, MoveIt, or comparable tools is required.
  • Familiarity with computer vision, perception, motion planning, robotic manipulation, or sensor integration is required.
  • Comfort working with physical hardware, debugging real systems, and learning by doing is required.
  • Strong problem-solving skills and attention to detail are required.
  • The ability to work across disciplines and communicate clearly with scientists, automation engineers, software engineers, and robotics experts is required.

Responsibilities

  • Build, integrate, and maintain robotics software for robotic arms, mobile robots, sensors, grippers, and laboratory automation devices.
  • Develop motion planning, manipulation, perception, and safety logic for robotic systems operating in real laboratory environments.
  • Integrate laboratory instruments and devices through APIs, Internet of Things interfaces, schedulers, and custom control software.
  • Help build task execution frameworks using state machines, behavior trees, planners, and recovery logic for autonomous or semi-autonomous lab workflows.
  • Benchmark and integrate computer vision methods for object detection, segmentation, tracking, pose estimation, localization, and scene understanding.
  • Create and use simulation or digital twin environments for motion validation, workflow testing, synthetic data generation, and system debugging.
  • Collaborate with scientists to translate biological and chemical workflows into automated protocols.
  • Support multi-station system integration, automated material handling, sample tracking, validation, logging, and error recovery.
  • Work hands-on with physical hardware to debug real systems, improve reliability, and iterate quickly.
  • Evaluate modern AI, autonomy, foundation-model, reinforcement-learning, or imitation-learning approaches where they can improve real robotic lab execution.

Desired Qualifications

  • Experience with six-axis robotic arms, autonomous mobile robots, grippers, machine vision systems, or automated material handling.
  • Experience with OpenCV, object detection, segmentation, tracking, pose estimation, SLAM, localization, or scene understanding.
  • Experience with Foxglove, Isaac Sim, MuJoCo, Gazebo, or other robotics simulation and debugging tools.
  • Experience integrating laboratory instruments such as liquid handlers, plate hotels, incubators, readers, and microscopes.
  • Experience with agentic AI frameworks such as LangGraph, OpenAI Agents SDK, AutoGen, and PydanticAI; Model Context Protocol; or AI systems that integrate language models with external tools and software.
  • Familiarity with biological or chemical assays such as PCR, gel electrophoresis, DNA quantification, microscopy, high-throughput screening, or cell-based assays.
  • Experience with CAD, 3D printing, laser cutting, CNC machining, or rapid prototyping.
  • Exposure to GPU-accelerated inference using CUDA, TensorRT, or ONNX; edge deployment; foundation models; reinforcement learning; imitation learning; behavior trees; autonomous task planning; or agentic robotics systems.

About the Company

Xaira Therapeutics

AI-powered protein design for therapeutics

Xaira Therapeutics uses artificial intelligence to transform drug discovery and development. It builds a pipeline of protein- and antibody-based therapeutics by combining generative AI models from the IPD lab (notably RFdiffusion and RFantibody) with large, multidimensional biological data. The company designs novel proteins and antibodies from scratch to target difficult, previously undruggable biology, then validates and evolves these molecules through iterative data generation that improves its biological foundation models. Unlike many entrants that offer research services, Xaira aims to own and advance its own therapeutic pipeline across multiple modalities, rather than solely providing platforms. The goal is to deliver effective new medicines faster and with a lower chance of failure by integrating AI-driven design, expansive data, and expert leadership.

Company size
201-500
Company stage
Late Stage VC
Total funding
$1B
Headquarters
South San Francisco, CA
Founded
2023

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