Principal Software Engineer – Robot Applications & Voice AI

About the role

The Principal Software Engineer drives the application and cognitive layer of our humanoid robot. This role focuses on building advanced voice applications, multi-modal context systems, and programming the core business logic and behavior trees that make the robot interactive, helpful, and intuitive.

Responsibilities

• Implement high-level application software, interaction workflows, and robotic behavioral state machines.
• Build the core logic that translates human speech, gestures, environmental cues, and contextual information into deterministic robotic tasks.
• Integrate vision pipelines, object detection, scene understanding, spatial tracking, and voice interactions to provide contextual awareness.
• Develop robust voice applications managing STT, NLU, dialog management, wake-word detection, and TTS interfaces.
• Build orchestration workflows combining LLMs, VLMs, memory systems, tool calling, reasoning engines, and robotic capabilities.
• Consume and orchestrate navigation, manipulation, perception, and device-control services exposed by the robotics platform.
• Optimize applications to balance low-latency local execution with cloud-based AI services.
• Integrate robots with mobile devices, smart home ecosystems, enterprise applications, and cloud APIs.
• Build telemetry, logging, and evaluation mechanisms supporting continuous model improvement.
• Contribute to testing, observability, CI/CD, and production deployment practices.

Requirements

• Strong proficiency in BehaviorTree.CPP, state machines, workflow orchestration engines, or task-planning architectures.
• Hands-on experience building applications using LLMs, VLMs, tool-calling architectures, agent frameworks, RAG systems, or semantic memory platforms.
• 5+ years of professional software engineering experience using Python and/or C++.
• Experience designing scalable application-layer software, API-driven systems, distributed services, and event-driven architectures.
• Experience optimizing software on resource-constrained edge hardware under intermittent connectivity conditions.
• Experience integrating cloud AI services, model serving platforms, and containerized deployments.
• Automated testing, debugging, monitoring, observability, and CI/CD practices.
• Experience designing natural, context-aware human-machine experiences.

Qualifications

Skills

• BehaviorTree.CPP, state machines, workflow orchestration engines, or task-planning architectures.
• LLMs, VLMs, tool-calling architectures, agent frameworks, RAG systems, or semantic memory platforms.
• Python and/or C++.
• Scalable application-layer software, API-driven systems, distributed services, and event-driven architectures.
• Resource-constrained edge hardware under intermittent connectivity conditions.
• Cloud AI services, model serving platforms, and containerized deployments.
• Automated testing, debugging, monitoring, observability, and CI/CD practices.
• Natural, context-aware human-machine experiences.

Benefits

Annual bonus opportunity
Insurance coverage (medical, dental, vision, life, and disability)
Paid time off
Paid holidays
Company contribution to the RRSP (Registered Retirement Savings Plan)
Equity awards for certain positions and levels
Remote and/or hybrid work available depending on the position

Pay

Salary range $165,550.00 USD- $264,450.00 USD

Schedule

Not specified