Your Impact
Build software powering the next generation of intelligent humanoid robots.
Work on Voice AI, Agentic AI, LLMs, VLMs, and Physical AI products.
Collaborate with experts in robotics, conversational AI, embedded systems, and cloud computing.
See your work deployed in real-world robotic environments.
Key Responsibilities
Application Layer & Business Logic: Implement high-level application software, interaction workflows, and robotic behavioral state machines.
Intent-to-Action Orchestration: Build the core logic that translates human speech, gestures, environmental cues, and contextual information into deterministic robotic tasks.
Multi-Modal Interaction Fusion: Integrate vision pipelines, object detection, scene understanding, spatial tracking, and voice interactions to provide contextual awareness.
Voice Application Engineering: Develop robust voice applications managing STT, NLU, dialog management, wake-word detection, and TTS interfaces.
Agentic AI Development: Build orchestration workflows combining LLMs, VLMs, memory systems, tool calling, reasoning engines, and robotic capabilities.
Robot Capability Integration: Consume and orchestrate navigation, manipulation, perception, and device-control services exposed by the robotics platform.
Edge/Cloud Partitioning: Optimize applications to balance low-latency local execution with cloud-based AI services.
Multi-Device & Ecosystem Integrations: Integrate robots with mobile devices, smart home ecosystems, enterprise applications, and cloud APIs.
Data Loop Contribution: Build telemetry, logging, and evaluation mechanisms supporting continuous model improvement.
Deployment & Production Readiness: Contribute to testing, observability, CI/CD, and production deployment practices.
Required Skills & Experience
Mandatory (Must Have)
Orchestration & Logic Frameworks: Strong proficiency in BehaviorTree.CPP, state machines, workflow orchestration engines, or task-planning architectures.
Cognitive AI & Agent Systems: Hands-on experience building applications using LLMs, VLMs, tool-calling architectures, agent frameworks, RAG systems, or semantic memory platforms.
Programming: 5+ years of professional software engineering experience using Python and/or C++.
Application Architecture: Experience designing scalable application-layer software, API-driven systems, distributed services, and event-driven architectures.
Edge Compute Management: Experience optimizing software on resource-constrained edge hardware under intermittent connectivity conditions.
Cloud & AI Services: Experience integrating cloud AI services, model serving platforms, and containerized deployments.
Software Quality & Production Delivery: Automated testing, debugging, monitoring, observability, and CI/CD practices.
Human-Robot Interaction Mindset: Experience designing natural, context-aware human-machine experiences.
Good to Have (Highly Valued Plus)
Voice & Speech Stack: Cerence, Whisper, Deepgram, Azure Speech, ElevenLabs, AWS Speech Services, STT/TTS/NLU platforms.
Robotics Framework Consumption: ROS2 application nodes, Services, Actions, Topics, navigation and manipulation APIs.
Vision & Multi-Modal AI: Object detection, scene understanding, visual grounding, and spatial reasoning systems.
Audio Hardware Integration: Beamforming, Acoustic Echo Cancellation (AEC), microphone arrays, and noise suppression.
Physical AI Applications: Experience building software for humanoids, service robots, warehouse automation, or embodied AI systems.
Data & Learning Pipelines: Telemetry, analytics, evaluation systems, retraining pipelines, and AI feedback loops.
Containerization & Deployment: Docker, Kubernetes, OTA updates, and edge deployment environments.
Startup Environment: Comfortable owning solutions from concept through deployment in a fast-moving environment.
Why Join the Team
Build software powering the next generation of intelligent humanoid robots.
Work across Voice AI, Agentic AI, Physical AI, and Conversational Systems.
Collaborate with experts in speech, AI, robotics, cloud, and embedded systems.
Help shape the future of human-machine interaction.
What we offer
We offer a generous compensation and benefits package (in addition to the base salary), including:
Salary range $107,000 - $172,000 USD. It is not typical for offers to be made at or near the top of the range. The actual salary will be determined based on experience and other job-related factors.
Annual bonus opportunity
Insurance coverage (medical, dental, vision, life, and disability)
Paid time off
Paid holidays
Company contribution to the 401(k) plan
Equity awards for certain positions and levels
Remote and/or hybrid work available depending on the position All compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable, and may be amended, terminated, or replaced from time to time.
Education & Qualifications
Bachelor’s or Master’s degree in Computer Science, Robotics, Software Engineering, AI, or a related discipline.
Cerence AI (NASDAQ: CRNC) helps people and intelligent systems work together naturally and reliably. Proven at global scale in automotive, Cerence provides the trusted interaction and action layer connecting people, machines, and intelligent systems. Its AI platform enables natural interaction and dependable action across complex real-world environments where reliability, safety, security, and performance are critical. Working with customers and partners worldwide, Cerence transforms advanced AI into trusted solutions that bridge the gap between AI potential and real-world performance.
For more information, visit www.cerence.ai.
EQUAL OPPORTUNITY EMPLOYER
Cerence is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination on the basis of age, race, color, gender, gender identity, gender expression, sex, sex stereotyping, pregnancy, national origin, ancestry, religion, physical or mental disability, medical condition, marital status, citizenship status, sexual orientation, protected military or veteran status, genetic information and other protected classifications. Cerence Equal Employment Opportunity Policy Statement.
All prospective and current Employees need to remain vigilant when it comes to executing security policies in the workplace. This includes:
Following workplace security protocols and training programs to familiarize with the ways to maintain a safe workplace.
Following security procedures to report any suspicious activity.
Having respect for corporate security procedures to allow those procedures to be effective.
Adhering to company's compliance and regulations.
Encouraging to follow a zero tolerance for workplace violence.
Basic knowledge of information security and data privacy requirements (e.g., how to protect data & how to be handling this data).
Demonstrative knowledge of information security through internal training programs.
