Andromeda · 1 day ago
Simulation & Test Engineer (US Based)
San Francisco, CA
Full-time
Onsite
Senior Level
$150K/yr - $205K/yr
5+ years expAndromeda Robotics is building the future of human-robot relationships with its emotionally intelligent humanoid companion robot, Abi. The Simulation and Test Engineer will own the simulation and test infrastructure, developing acceptance criteria for Abi's autonomous navigation and conversational AI, ensuring software quality before deployment.
Artificial Intelligence (AI)Information TechnologyManufacturingRobotics
No H1B
Responsibilities
Design, develop and maintain a scalable, high-fidelity simulation platform for Abi that supports both navigation and embodied interaction use cases
Own sim-to-real and test-to-deployment: Develop robust CI/CD pipelines for automated testing in simulation and synthetic test environments, enabling rapid iteration and guaranteeing software quality before deployment onto our physical robots
Implement accurate models of Abi's hardware, including sensors (cameras, microphones, LiDAR, etc.), actuators, kinematics and upper-body motion as needed for both navigation and interaction scenarios
Develop virtual worlds and test scenarios: Navigation-focused environments (indoor facilities, dynamic human traffic, obstacles, edge cases)
Conversational & social interaction scenarios (multi-speaker audio scenes, social group configurations, gesture contexts)
Build synthetic test environments for: Voice-to-voice conversational quality and response appropriateness
Tool-calling / action selection behaviour
Memory systems - context retention, recall accuracy, conversation coherence
Create test suites and synthetic scenes for: Social awareness (face detection, gaze tracking, person tracking)
Audio modelling (multi-speaker, room acoustics, noise conditions, VAD)
Working with Controls/ML, create infrastructure to validate that Abi's body gestures and animations are appropriate, synchronised and safe in real and simulated interactions
Custodian of quality metrics: If they don't exist, work with stakeholders to elicit use cases, derive requirements, and define measurable quality metrics for navigation, conversational AI, audio, perception and gesture
Capture requirements and trace them through to test cases and automated regression suites
Build dashboards, tools and analysis pipelines to mine test and simulation data, identify bugs, track performance over time, and feed actionable insights back to engineering teams
Extend test environments into training data generation pipelines, working closely with character and autonomy teams
Investigate and stand up simulation tools (e.g. Unity, Unreal Engine, Isaac) to generate high-fidelity synthetic interaction data at scale for: Character animation and gesture models
Perception models (vision, audio, social awareness)
Navigation & planning in human-centred environments
Enable ML-generated gesture and navigation behaviours to augment hand-crafted workflows, and help validate them in rich, multi-actor simulated scenarios
Qualification
Required
Bachelor's degree in Computer Science, Robotics, Engineering, or a related field (Master's preferred but not required)
5+ years of professional experience building simulation and/or test infrastructure for complex systems such as robots, autonomous vehicles, drones, conversational AI systems, perception systems or embodied AI
Strong programming proficiency in Python (essential) and C++ (valuable)
Hands-on experience with at least one or more robotics simulation platforms e.g.: NVIDIA Isaac Lab / Isaac Sim, Gazebo, CARLA, AirSim, or similar
Experience with physics engines such as PhysX, MuJoCo, etc
Solid understanding of core robotics principles: kinematics, dynamics, perception and control
Experience testing AI/ML systems, ideally at least one or more of: LLM-based or voice-based conversational systems, audio/speech pipelines, computer vision or perception models, embodied / interactive AI behaviours e.g. autonomous systems
Experience with testing frameworks and CI/CD tools (e.g. pytest, Jenkins, GitHub Actions, GitLab CI) for automated regression testing
Familiarity with ML evaluation metrics and basic experimental design
Demonstrated strength in requirements gathering, documentation and traceability from requirements → test cases → pass/fail criteria
A proactive, first-principles thinker who is excited by the prospect of owning a critical system at an early-stage startup
Preferred
Experience using simulation for ML applications, such as reinforcement learning, imitation learning, or synthetic data generation
Experience with character animation systems, motion capture pipelines or gesture generation for embodied agents
Strong experience with 3D modelling, game engines and content generation (Unity, Unreal Engine)
Knowledge of sensor modelling techniques for cameras, LiDAR and audio (microphone arrays, room acoustics)
Experience building and managing large-scale, cloud-based simulation or test infrastructure
Experience with ROS/ROS2 integration in human-rated environments or regulated domains; exposure to standards such as ISO 13482 for personal care robots
Experience working with robots or autonomous systems in human-centric environments (healthcare, aged care, hospitality, etc.)
Company
Andromeda
🤖 Hello! Welcome to Andromeda. We’re an Australian robotics company, working to make a positive difference in the world.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$19.14MKey Investors
ForerunnerPurpose Ventures
2025-09-09Series A· $15.14M
2024-06-18Seed· $3M
2023-06-18Pre Seed· $1M
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