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We are seeking a Senior Engineering Manager to lead a high-performing engineering team building the next generation of Agentic AI and intelligent distributed systems at LVT.
This role sits at the center of Physical AI innovation and requires a leader who combines strong engineering fundamentals with deep passion for emerging AI technologies.
You will lead teams building AI-driven services, autonomous workflows, distributed systems, and platforms that connect cloud intelligence with edge devices operating in real-world environments.
You will work closely with Product, Architecture, AI/ML, Edge, and Platform teams to transform large-scale streams of sensor and video data into actionable intelligence.
This role requires someone who can build scalable systems while attracting, mentoring, and retaining exceptional engineering talent.
You should be equally comfortable discussing AI model architectures, distributed system design, inference pipelines, and organizational leadership.
We are seeking a Senior Engineering Manager to lead a high-performing engineering team building the next generation of Agentic AI and intelligent distributed systems at LVT.
This role sits at the center of Physical AI innovation and requires a leader who combines strong engineering fundamentals with deep passion for emerging AI technologies. You will lead teams building AI-driven services, autonomous workflows, distributed systems, and platforms that connect cloud intelligence with edge devices operating in real-world environments.
You will work closely with Product, Architecture, AI/ML, Edge, and Platform teams to transform large-scale streams of sensor and video data into actionable intelligence. This role requires someone who can build scalable systems while attracting, mentoring, and retaining exceptional engineering talent.
You should be equally comfortable discussing AI model architectures, distributed system design, inference pipelines, and organizational leadership.
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Engineering Leadership Experience: 10+ years of software engineering experience including 4+ years managing and growing engineering teams in high-growth environments.
AI Systems Experience: Experience building and deploying AI-driven systems utilizing machine learning models, LLMs, multimodal AI, recommendation systems, or agentic architectures.
Agentic AI Expertise: Experience designing systems involving AI agents, memory systems, orchestration frameworks, MCP architectures, retrieval systems, or autonomous workflows.
Distributed Systems Expertise: Strong experience designing highly scalable distributed systems and cloud-native services supporting tens of thousands of edge devices and millions of events per day.
Cloud & Infrastructure Experience: Strong background with cloud platforms such as AWS and modern container orchestration technologies including Kubernetes.
Technical Foundation: Strong experience in languages such as Python, Go, C++, or Java and experience building APIs and large-scale backend systems.
MLOps & AI Infrastructure: Familiarity with ML infrastructure and tooling including model deployment pipelines, evaluation frameworks, observability, and inference optimization.
Physical AI Passion: Strong interest in AI applications involving real-world systems including sensors, video, robotics, IoT, computer vision, or edge intelligence.
Talent Builder: Demonstrated success hiring, mentoring, retaining, and developing high-performing engineering organizations.
Strategic Thinking: Ability to make thoughtful, data-driven decisions and balance long-term platform investments with immediate business needs.
Education: Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or related field.
Private mobile security company providing rapidly deployable surveillance hardware and SaaS software to public and commercial organizations.
Visit company websiteJobs and hiring trendsUSD 250200-302900 yearly / year
Full-time
Senior · 10+ years experience
Onsite
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