Principal Software Engineer – Robot Applications, Voice AI

This is a fully remote position, open to applicants in California.

📋 Description

• Develop high-level application software, interaction workflows, and robotic behavioral state machines.

• Create the foundational logic that converts human speech, gestures, environmental signals, and contextual data into deterministic robotic functions.

• Integrate vision pipelines, object detection, scene comprehension, spatial tracking, and voice interactions to enhance contextual awareness.

• Design robust voice applications that manage STT, NLU, dialog management, wake-word detection, and TTS interfaces.

• Construct orchestration workflows that incorporate LLMs, VLMs, memory systems, tool calling, reasoning engines, and robotic functionalities.

• Utilize and orchestrate navigation, manipulation, perception, and device-control services provided by the robotics platform.

• Optimize applications to achieve a balance between low-latency local execution and cloud-based AI services.

• Connect robots with mobile devices, smart home systems, enterprise applications, and cloud APIs.

• Establish telemetry, logging, and evaluation systems that support continuous model enhancement.

• Participate in testing, observability, CI/CD, and production deployment methodologies.

⛳️ Requirements

• Over 5 years of professional experience in software engineering using Python and/or C++.

• Strong expertise in BehaviorTree.CPP, state machines, workflow orchestration engines, or task-planning architectures.

• Practical experience in developing applications utilizing LLMs, VLMs, tool-calling frameworks, agent architectures, RAG systems, or semantic memory platforms.

• Proficient in designing scalable application-layer software, API-driven systems, distributed services, and event-driven architectures.

• Experience in optimizing software for resource-constrained edge hardware under conditions of intermittent connectivity.

• Familiarity with integrating cloud AI services, model serving platforms, and containerized deployments.

• Skills in automated testing, debugging, monitoring, observability, and CI/CD practices.

• Ability to design natural, context-aware human-machine interactions.

🏝️ Benefits

• Opportunity for annual bonuses.

• Comprehensive insurance coverage (medical, dental, vision, life, and disability).

• Paid time off.

• Paid holidays.

• Company contributions to the RRSP (Registered Retirement Savings Plan).

• Equity awards available for select positions and levels.

• Remote and/or hybrid work options depending on the position.