Senior Technical Solution Architect

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Cerence Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2019

🤖 Artificial Intelligence

🚗 Transport

💰 Grant on 2020-12

Artificial Intelligence • Transport • Automotive

Cerence Inc. is a global company focused on providing AI-powered solutions, particularly in the automotive industry. They specialize in conversational and generative AI technologies that create intelligent, natural, and personalized interactions between humans and vehicles. With innovations like their proprietary automotive large language models, Cerence enhances user experiences across various forms of transport including cars, two-wheelers, and trucks. The company has over 500 million vehicles shipped with its AI technology, serving more than 80 OEMs and Tier 1 customers worldwide. Cerence is dedicated to continuous advancements in AI, aiming to revolutionize in-car user experiences through fast delivery and seamless integration of their solutions.

📋 Description

• 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.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Robotics, Software Engineering, Electrical Engineering, or a related discipline. • 8+ years in robotics, autonomous systems, industrial automation, physical AI, or complex cyber-physical environments. • Deep understanding of Navigation & Localization (SLAM, Nav2), Manipulation & Motion Planning (MoveIt2), Perception Pipelines, Sensor Fusion, Robot Middleware, DDS communication, and distributed robotics architectures. • Proven experience designing cyber-physical systems operating under compute limitations, thermal constraints, battery optimization, network intermittency, and fail-safe operational requirements. • Advanced C++ (17/20) and Python architectural design expertise. • Strong mastery of Linux (Ubuntu/Debian), containerized deployments, and embedded computing platforms. • 3+ years managing engineering teams in startup, R&D, robotics, or fast-paced product development environments.

🏖️ Benefits

• Equal Opportunity Employer • Remote work options