Simulation and Test Engineer (Conversational AI) - US Based
About The Position
At Andromeda Robotics, we’re not just imagining the future of human-robot relationships; we’re building it. Abi is the first emotionally intelligent humanoid companion robot, designed to bring care, conversation, and joy to the people who need it most. Backed by tier-1 investors and with customers already deploying Abi across aged care and healthcare, we’re scaling fast, and we’re doing it with an engineering-first culture that’s obsessed with pushing the limits of what’s possible. This is a rare moment to join: we’re post-technical validation, pre-ubiquity, and building out the team that will take Abi from early access to global scale. We are looking for a creative and driven Simulation and Test Engineer to build Andromeda's testing infrastructure for our conversational AI systems and embodied character behaviours. Your immediate focus will be creating robust test systems for Abi's voice-to-voice chatbot, social awareness perception, and gesture motor control. As this infrastructure matures, you'll extend it into simulation environments for generating synthetic training data for character animation and gesture models. You'll work at the intersection of our character software, robotics, perception, conversational AI, controls, and audio engineering teams. We bring deep expertise from autonomous vehicles and robotics, including simulation backgrounds. You'll collaborate with product owners and technical specialists to define requirements, integrate systems, and ensure quality across our AI/ML stack.
Requirements
- Bachelor or Masters in Computer Science, Robotics, Engineering, or a related field
- 5+ years of professional experience testing complex AI/ML systems (conversational AI, perception systems, or embodied AI)
- Strong programming proficiency in Python (essential); C++ experience valuable
- Hands-on experience with LLM testing, voice AI systems, or chatbot evaluation frameworks
- Understanding of audio processing, speech recognition, and/or computer vision fundamentals
- Experience with testing frameworks and CI/CD tools (pytest, Jenkins, GitHub Actions, etc.)
- Familiarity with ML evaluation metrics and experimental design
- A proactive, first-principles thinker who is excited by the prospect of owning a critical system at an early-stage startup
Nice To Haves
- Experience with simulation platforms (e.g. Unity, Unreal Engine, NVIDIA Isaac Sim, Gazebo) and physics engines
- Experience with character animation systems, motion capture data, or gesture generation
- Knowledge of reinforcement learning, imitation learning, or synthetic data generation for training ML models
- Experience with 3D modelling tools and game engine content creation
- Understanding of ROS2 for robotics integration
- Knowledge of sensor modelling techniques for cameras and audio
- Experience building and managing large-scale, cloud-based simulation infrastructure
- PhD in a relevant field
Responsibilities
- Design, develop, and maintain scalable test infrastructure for conversational AI, perception, and gesture control systems
- Develop a robust CI/CD pipeline for automated regression testing, enabling rapid iteration and guaranteeing quality before deployment
- Create diverse audio environments, multi-actor social scenarios, and edge cases to rigorously test Abi's conversational and social capabilities
- Implement accurate models of Abi's hardware stack (cameras, microphone array, upper body motion) as needed for test and simulation scenarios
- Design test infrastructure with an eye towards evolution into a simulation platform for generating synthetic training data for character animation and gesture models
- Work closely with the robotics, AI, and software teams to seamlessly integrate their stacks into the test infrastructure and define testing requirements
- Develop metrics, tools, and dashboards to analyse test data, identify bugs, track performance, and provide actionable feedback to the engineering teams
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
