
Job Overview
Location
Remote - Germany
Job Type
Full-time
Category
Engineering
Date Posted
July 10, 2026
Full Job Description
đź“‹ Description
- • The Senior Technical Solution Architect owns the end-to-end software architecture for our humanoid robot applications.
- • You will bridge the gap between cutting-edge AI, robotic operating systems, and physical hardware.
- • In this role, you will guide critical technical decisions, manage physical system constraints, and supervise an agile, high-performing startup development team.
- • Own the end-to-end application architecture for humanoid robots.
- • Define reusable software platforms spanning robotics, AI, voice, cloud, and edge systems.
- • Lead technical decisions involving robotics frameworks, operating systems, SDKs, AI infrastructure, and deployment architectures.
- • Guide proof-of-concepts into production-ready customer deployments.
- • Collaborate with robotics OEMs, technology partners, and cross-functional engineering teams.
- • System Architecture: Design scalable, modular software architectures for humanoid robot applications.
- • Tech Stack Selection: Evaluate and select robotic software frameworks, developer SDKs, etc.
- • Hardware-Software Co-design: Collaborate closely with mechanical and electrical teams to optimize system latency, compute allocation, thermal envelopes, battery utilization, and power budgets.
- • Platform Reuse: Drive a platform strategy enabling modular reuse of application logic across different physical robot forms.
- • AI & Agentic Systems: Define how foundation models, agentic orchestration frameworks, memory systems, multimodal AI, and reasoning engines integrate into robot applications.
- • Production Readiness: Ensure deployed solutions meet reliability, observability, maintainability, security, and operational requirements.
- • Team Supervision: Lead, mentor, and unblock a small, fast-moving startup team of developers.
🎯 Requirements
- • Robotics Domains: Deep understanding of Navigation & Localization (SLAM, Nav2), Manipulation & Motion Planning (MoveIt2), Perception Pipelines, Sensor Fusion, Robot Middleware, DDS communication, and distributed robotics architectures.
- • Systems Engineering: Proven experience designing cyber-physical systems operating under compute limitations, thermal constraints, battery optimization, network intermittency, and fail-safe operational requirements.
- • Programming: Advanced C++ (17/20) and Python architectural design expertise.
- • Operating Systems: Strong mastery of Linux (Ubuntu/Debian), containerized deployments, and embedded computing platforms.
- • Leadership: 3+ years managing engineering teams in startup, R&D, robotics, or fast-paced product development environments.
- • Experience: 8+ years in robotics, autonomous systems, industrial automation, physical AI, or complex cyber-physical environments.
🏖️ Benefits
- • Help define the future of Voice AI for Physical AI and Humanoid Robotics.
- • Influence product direction, platform strategy, and customer deployments.
- • Work across Robotics, Agentic AI, Voice AI, Edge AI, and Cloud Platforms.
- • Operate with startup agility backed by Cerence technology and brand.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Cerence Inc.
Cerence Inc. develops AI-powered mobility assistant technologies, including voice, natural language understanding, and human-machine interaction software. The company supplies automakers and mobility OEMs with embedded and cloud solutions that enable conversational in-car experiences, voice biometrics, navigation, and content access. Cerence serves global car manufacturers, tier-one suppliers, and mobility service providers, offering scalable platforms that integrate with vehicle infotainment systems and digital cockpits. Its portfolio spans speech recognition, edge AI, and cloud services designed to enhance driver safety and user experience across passenger vehicles, two-wheelers, and commercial fleets.
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