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Cognex

Provides machine vision systems and OCR

Director – Software Engineering

Engineering LeadershipUpdated on Nov 12
Full-timeNatick, MA, USA$220k - $320k

About the Job

Requirements

  • 15+ years of software engineering experience, including 5+ years in senior engineering leadership roles managing managers and/or multiple engineering teams, with a proven track record of building high-performing organizations, delivering business-critical products, and driving technical strategy.
  • Track record of shipping and scaling complex platforms and cloud/online services in production.
  • Experience leading R&D or applied-research efforts from concept to shipped product.
  • Demonstrated experience turning ambiguous customer problems into shipped products, scalable products and technical strategy.
  • Deep expertise in backend/cloud architecture, API design and platform engineering.
  • Hands-on familiarity with modern AI application architectures, including LLMOps, agentic systems, tool integration, retrieval augmented generation (RAG), Model Context Protocol, and evaluation harness design, prompt management, and production observability.
  • Strong strategic and execution-oriented mindset, with the ability to balance ambitious AI innovation against reliability, scalability, cost, and deployment constraints.
  • Exceptional communication, influencing, and stakeholder management skills, with the ability to align technical teams, executives, customers, and cross-functional partners around a shared vision and execution plan.
  • Customer-focused leadership approach, with a passion for solving real-world customer problems through innovative software platforms and AI-driven experiences.

Responsibilities

  • Set the technical vision and multi-year roadmap for a new Applied AI platform to simplify complex, multi-step customer workflows across Cognex’s product portfolio.
  • Direct applied R&D on emerging AI capabilities, with structured experimentation and prototyping and a clear path from research to production.
  • Lead architecture decisions spanning embedded devices, edge compute, and cloud services and infrastructure, ensuring seamless experiences across hybrid experiences.
  • Own the reliability, scalability, security, cost efficiency and operational excellence of the services that power the platform, including APIs, model-serving infrastructure, data pipelines, and connected experiences.
  • Establish the engineering standards, evaluation frameworks, guardrails, observability, and operational practices (SLAs, on-call, incident response) required to deliver trustworthy AI systems in production, balancing capability, reliability, latency, safety, and operating cost.
  • Partner with Product, R&D, UX, and Hardware organizations to turn ambiguous problems into shipped capabilities, on committed timelines.
  • Drive adoption of the platform across Cognex's product portfolio, enabling product teams to rapidly build and consume shared AI capabilities and services.
  • Track the fast-moving AI landscape and translate external advances into pragmatic bets for Cognex.
  • Drive cost efficiency, observability, and continuous delivery across cloud and hybrid (edge-plus-cloud) deployments, with privacy and security built in.
  • Grow, lead, and mentor a high-impact engineering organization, building a culture of ownership, technical rigor and execution excellence.

Desired Qualifications

  • Experience with computer vision, machine learning inference, or edge/embedded deployment systems.
  • Background in industrial automation, manufacturing, robotics, or logistics.
  • Experience productizing AI capabilities at scale, beyond prototypes and proof-of-concepts.
  • Experience working with developer platforms, APIs, SDKs, or ecosystems that enable other teams to build and innovate more quickly.
  • An advanced degree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related field.

About the Company

Cognex

Provides machine vision systems and OCR

Cognex designs and supplies machine vision systems that help factories

Company size
1,001-5,000
Company stage
IPO
Headquarters
Natick, MA
Founded
1981

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