hirly

Cerence

Sr. Software Engineer – Robot Applications & Voice AI

Remote – California Bay Area

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at Cerence first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 2.6M live jobs from 210,000+ employers in 200+ countries.

Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude or ChatGPT and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending.

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Role family
Engineering
Seniority
Senior
Stated salary
$165,550 per year
Country
US
Work mode
Remote-friendly
First seen by hirly
2 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

A Moving Experience.

Principal Software Engineer – Robot Applications & Voice AI

Location : California Bay area

Humanoid robots become truly useful when they understand human intent and convert it into meaningful action. At Cerence, we are building the cognitive and application layer that combines Voice AI, Agentic AI, multimodal reasoning, and robotic capabilities into intuitive human-robot experiences.

Role Overview

The Principal Software Engineer drives the application and cognitive layer of our humanoid robot. Working directly with the core robotics platform designed by our Architect, you will turn human intent into high-level physical actions. 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.

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 $165,550.00 USD- $264,450.00 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 Inc. (Nasdaq: CRNC and www.cerence.com ) is the global industry leader in creating unique, moving experiences for the automotive world. Spun out from Nuance in October 2019, Cerence is a new, independent company that has quickly gained traction as a leader in the automotive voice assistant space, working with all of the world’s leading automakers – from Ford and Fiat Chrysler to Daimler, Audi and BMW to Geely and SAIC – to transform how a car feels, responds and learns. Its track record is built on more than 20 years of industry experience and leadership and more than 500 million cars on the road today across more than 70 languages.

As Cerence looks to the future and continues an ambitious growth agenda, we need someone to join the team and help build the future of voice and AI in cars. This is an exciting opportunity to join Cerence’s passionate, dedicated, global team and be a part of meaningful innovation in a rapidly growing industry.

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
Original posting on Cerence's site ↗

Listed on hirly, a job board. hirly is not the employer: Cerence is hiring for this role.

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job