Robotics Solution Lead - Software Ecosystem & Architecture, Software Engineering

Company:

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

Role Summary

We are seeking a Principal/Director-level technical leader to drive Robotics Solution strategy with a primary focus on robotics software ecosystem, customer architecture insight, and future technology direction. As robotics customers and ecosystem partners rapidly co-shape software stacks (OS/ROS, middleware, perception pipelines, AI integration, OTA, safety), this role will systematically connect external signals to internal roadmap decisions.

This position will define and influence the end-to-end robotics software solution architecture and ecosystem strategy around our Robotics SDK, developer experience, and partner enablement—translating customer/partner requirements into actionable product and engineering priorities.

Key Responsibilities

1) Robotics Software Ecosystem Strategy & Partnerships

• Build and maintain a clear view of the robotics software ecosystem landscape (OS distributions, ROS2 ecosystem, middleware/DDS, simulation, tooling, CI/CD, OTA, safety frameworks) and identify strategic gaps/opportunities.
• Engage ecosystem partners (robot OEMs, ISVs, SIs, open-source communities) to influence architecture choices and drive adoption of our robotics software stack and developer workflows.
• Shape upstream/open-source posture to accelerate developer adoption and ecosystem credibility (e.g., ROS2 packages, documentation, distribution).

2) Customer Architecture Insight & Technical Advisory

• Act as a senior technical interface for strategic robotics customers in China, capturing architecture decisions and pain points across the stack (OS/ROS, middleware, perception, AI/ML, diagnostics, OTA, safety).
• Translate customer architecture insights into clear internal artifacts: architecture briefs, reference blueprints, prioritized capability asks, and decision memos for leadership.
• Drive alignment between customer needs and our Robotics SDK evolution, ensuring solution-level coherence beyond point optimizations.

3) Future Technology Direction & Roadmap Influence

• Identify future-facing technology trends and evaluate implications for our solution roadmap (real-time + AI reasoning, graph runtimes, deterministic scheduling, hardware acceleration integration, simulation/regression workflows).
• Influence product and engineering roadmaps with a solution-first view, balancing near-term customer wins with long-term platform strategy.

4) Internal Leadership & Cross-Functional Execution

• Lead cross-functional alignment across Engineering, Product, Program, BD/CE on solution architecture and ecosystem priorities; drive crisp ownership and decision-making.
• Define success criteria and measurable outcomes for ecosystem and architecture initiatives (e.g., reference architecture adoption, partner enablement milestones, SDK capability readiness).

Required Qualifications

• Deep experience in robotics software architecture and systems integration across Linux/Ubuntu, ROS2, middleware/DDS, perception pipelines, and runtime performance considerations.
• Proven customer-facing technical leadership: ability to drive architecture discussions with senior engineers/architects at OEMs/partners and synthesize inputs into actionable internal direction.
• Strong understanding of developer experience principles (SDK packaging, documentation, samples, tooling) and ecosystem adoption mechanics.
• Excellent communication skills: able to write concise architecture briefs and present to executives and cross-functional stakeholders.

Preferred Qualifications (Nice-to-Have)

• Hands-on experience with simulation, and performance/power profiling workflows for robotics software stacks.
• Experience driving open-source contributions or upstream engagement in robotics communities.
• Familiarity with hardware acceleration enablement for robotics workloads and heterogeneous compute integration (CPU/GPU/NPU/DSP).

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.

• 4+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

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