Autodesk

1 month ago

Principal Research & Design Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Lead applied AI research at the Autodesk Technology Center to improve design-to-make workflows and workshop operations. Develop AI-enabled tools, data pipelines, and prototypes for physical fabrication contexts, collaborating with researchers, engineers, and external partners. The role blends strategy, code, data, and hands-on fabrication in a high-impact, multidisciplinary setting focused on manufacturing informatics and operational intelligence.

Location: Boston

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Lead applied research projects focused on using AI to improve workshop operations, fabrication workflows, and design-to-make systems
•Identify high-impact operational problems across the Technology Center, including machine scheduling, utilization, training, maintenance, safety, documentation, and project execution
•Design, prototype, and validate AI-enabled tools, workflows, dashboards, agents, data pipelines, and decision-support systems for physical workshop environments
•Work with data from machines, sensors, job queues, CAM workflows, maintenance logs, user activity, project documentation, and other operational systems
•Develop and evaluate AI and machine learning approaches, including generative AI, computer vision, optimization, predictive analytics, natural language interfaces, and edge AI where appropriate

Pay and Benefits

Salary: USD 144,000 - 258,940 annually

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Engineering, Robotics, Data Science, Manufacturing, Architecture, Industrial Design, Operations Research, or a related technical field, or equivalent professional experience
•Significant professional experience applying AI, machine learning, data science, automation, or computational systems to practical, real-world problems
•Strong programming skills and experience working with data pipelines, APIs, databases, machine learning frameworks, or cloud-based AI services
•Experience designing experiments, building prototypes, and evaluating technical systems in ambiguous or emerging problem spaces
•Comfort working with physical systems, hardware, sensors, machines, or workshop/lab environments

Experience:AIManufacturingFabricationAutomationData scienceMachine learningEdge AIComputer vision

Education:Bachelor's

Skills:AIMachine learningData pipelinesAPIsDatabasesCloud-based AICNCCAMRoboticsAutomationEdge AIHardware

Tech Stack:AIMachine learningData pipelinesAPIsDatabasesCloudCNCCAMRoboticsEdge devicesIndustrial IoT

Company Brief

Autodesk

Provides design and engineering software for architecture, construction, manufacturing, media, and entertainment industries, offering CAD, BIM, and 3D modeling tools to enable product and infrastructure design workflows.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Autodesk

1 month ago

Principal Research & Design Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Location: Boston

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key Responsibilities

•Lead applied research projects focused on using AI to improve workshop operations, fabrication workflows, and design-to-make systems
•Identify high-impact operational problems across the Technology Center, including machine scheduling, utilization, training, maintenance, safety, documentation, and project execution
•Design, prototype, and validate AI-enabled tools, workflows, dashboards, agents, data pipelines, and decision-support systems for physical workshop environments
•Work with data from machines, sensors, job queues, CAM workflows, maintenance logs, user activity, project documentation, and other operational systems
•Develop and evaluate AI and machine learning approaches, including generative AI, computer vision, optimization, predictive analytics, natural language interfaces, and edge AI where appropriate

Pay and Benefits

Salary: USD 144,000 - 258,940 annually

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Engineering, Robotics, Data Science, Manufacturing, Architecture, Industrial Design, Operations Research, or a related technical field, or equivalent professional experience
•Significant professional experience applying AI, machine learning, data science, automation, or computational systems to practical, real-world problems
•Strong programming skills and experience working with data pipelines, APIs, databases, machine learning frameworks, or cloud-based AI services
•Experience designing experiments, building prototypes, and evaluating technical systems in ambiguous or emerging problem spaces
•Comfort working with physical systems, hardware, sensors, machines, or workshop/lab environments

Experience:AIManufacturingFabricationAutomationData scienceMachine learningEdge AIComputer vision

Education:Bachelor's

Skills:AIMachine learningData pipelinesAPIsDatabasesCloud-based AICNCCAMRoboticsAutomationEdge AIHardware

Tech Stack:AIMachine learningData pipelinesAPIsDatabasesCloudCNCCAMRoboticsEdge devicesIndustrial IoT

Company Brief

Autodesk

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor