2 months ago

Director Embedded AI/ML Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Lead hands-on development and deployment of Edge AI solutions, optimizing models for embedded platforms. Drive robust MLOps pipelines, collaborate with cross-functional teams to integrate AI at the edge, provide technical leadership, and push innovation to advance embedded AI capabilities from GPUs/accelerators to production.

Location: Atlanta

Workplace: Onsite

Employment Type: Full time

Job Function: Hardware, Embedded & Systems Engineering

Seniority: Director level

Key Responsibilities

•Lead hands-on development and deployment of Edge AI solutions with a focus on model optimization and performance on embedded platforms.
•Design and implement robust MLOps pipelines to support continuous integration and deployment of AI models at the edge.
•Collaborate with cross-functional teams to integrate AI applications into embedded systems using GPUs and AI accelerators.
•Provide technical leadership and mentorship in embedded AI, system architecture, and AI deployment strategies.
•Drive innovation and problem-solving initiatives to enhance AI capabilities and deployment robustness on edge devices.

Key Requirements

•Proven experience in embedded AI with hands-on expertise in GPU or AI accelerator deployment.
•Strong skills in edge model optimization and embedded system architecture.
•Deep understanding of AI/machine learning algorithms and computer vision applications.
•Experience building and managing MLOps pipelines for AI model deployment at the edge.
•Excellent problem-solving skills and a passion for innovation in embedded AI technologies.

Experience:Embedded AIEdge computingIndustrial automation

Education:Master's

Skills:Problem-solvingCollaborationLeadership

Languages:English

Tech Stack:GPUAI acceleratorsEdge AIMLOpsComputer visionEmbedded systems

Company Brief

Honeywell

Global diversified technology and manufacturing company providing aerospace systems, building technologies, performance materials, and safety & productivity solutions for industrial, commercial, and consumer markets.

Industry: Conglomerates & Holding Companies

Company Size: Enterprise (1,001+ employees)

Revenue: USD 25B to 50B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Charlotte, United States

Founded: 1906

Glassdoor: 3.8

Website LinkedIn Glassdoor

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Honeywell

2 months ago

Director Embedded AI/ML Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Atlanta

Workplace: Onsite

Employment Type: Full time

Job Function: Hardware, Embedded & Systems Engineering

Seniority: Director level

Key Responsibilities

•Lead hands-on development and deployment of Edge AI solutions with a focus on model optimization and performance on embedded platforms.
•Design and implement robust MLOps pipelines to support continuous integration and deployment of AI models at the edge.
•Collaborate with cross-functional teams to integrate AI applications into embedded systems using GPUs and AI accelerators.
•Provide technical leadership and mentorship in embedded AI, system architecture, and AI deployment strategies.
•Drive innovation and problem-solving initiatives to enhance AI capabilities and deployment robustness on edge devices.

Key Requirements

•Proven experience in embedded AI with hands-on expertise in GPU or AI accelerator deployment.
•Strong skills in edge model optimization and embedded system architecture.
•Deep understanding of AI/machine learning algorithms and computer vision applications.
•Experience building and managing MLOps pipelines for AI model deployment at the edge.
•Excellent problem-solving skills and a passion for innovation in embedded AI technologies.

Experience:Embedded AIEdge computingIndustrial automation

Education:Master's

Skills:Problem-solvingCollaborationLeadership

Languages:English

Tech Stack:GPUAI acceleratorsEdge AIMLOpsComputer visionEmbedded systems

Company Brief

Honeywell

Industry: Conglomerates & Holding Companies

Company Size: Enterprise (1,001+ employees)

Revenue: USD 25B to 50B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Charlotte, United States

Founded: 1906

Glassdoor: 3.8

Website LinkedIn Glassdoor