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Engineering Manager Transformer Jobs in Rochester, NY

Pwc

CTIO AI Engineering Manager

Rochester, NY · On-site

$73K - $244K/yr

... Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging ... They play a crucial role in transforming raw data into actionable insights, enabling informed ...

Corning

Engineering Project Manager

Fairport, NY · On-site

$81K - $112K/yr

Today, we accelerate and transform life sciences, mobile consumer electronics, optical ... This role focuses on driving execution, coordinating engineering resources, managing timelines, and ...

Corning

Engineering Project Manager

Fairport, NY · On-site

$81K - $112K/yr

Today, we accelerate and transform life sciences, mobile consumer electronics, optical ... This role focuses on driving execution, coordinating engineering resources, managing timelines, and ...

Corning

Engineering Project Manager

Fairport, NY · On-site

$81K - $112K/yr

Today, we accelerate and transform life sciences, mobile consumer electronics, optical ... The Project Manager works directly with Engineering, Commercial, Operations, Quality, Supply Chain ...

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All JobsEngineering Manager Transformer JobsEngineering Manager Transformer Jobs in Rochester, NY

Engineering Manager Transformer information

See Rochester, NY salary details

$45.9K

$144.9K

$171.7K

How much do engineering manager transformer jobs pay per year?

As of Jun 26, 2026, the average yearly pay for engineering manager transformer in Rochester, NY is $144,910.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,900.00 and $170,700.00 per year, depending on experience, location, and employer.

What is the difference between Engineering Manager Transformer vs Data Engineer?

AspectEngineering Manager TransformerData Engineer
Required CredentialsBachelor's/Master's in Engineering, Computer Science; leadership experienceBachelor's in Computer Science, Data Science, or related field; technical skills in data systems
Work EnvironmentLeading teams, project management, cross-department collaborationBuilding and maintaining data pipelines, data modeling, database management
Employer & Industry UsageTech companies, AI/ML firms, organizations deploying Transformer modelsData-driven companies, analytics firms, AI/ML organizations

While both roles involve technical expertise, the Engineering Manager Transformer focuses on leading teams developing Transformer-based AI models, whereas Data Engineers build and maintain the data infrastructure supporting such models. The former emphasizes leadership and project management, while the latter concentrates on data pipeline development.

What are the key skills and qualifications needed to thrive as an Engineering Manager Transformer, and why are they important?

To excel as an Engineering Manager Transformer, you need a deep understanding of electrical engineering principles, transformer design, and manufacturing processes, usually backed by a bachelor’s or master’s degree in electrical engineering. Familiarity with CAD software, power system analysis tools, and industry standards such as IEEE or IEC, along with relevant certifications like Professional Engineer (PE), is highly valuable. Strong leadership, problem-solving abilities, and effective communication distinguish top performers in this role. These competencies are crucial for ensuring technical excellence, team productivity, and the successful delivery of complex transformer projects.

What is an Engineering Manager Transformer?

An Engineering Manager Transformer is a leadership position focused on managing teams that develop, implement, and maintain transformer models, which are a type of machine learning model commonly used in natural language processing and other AI applications. This role combines technical expertise in transformer architectures with management responsibilities such as team coordination, project oversight, and mentoring engineers. Engineering Manager Transformers play a crucial role in setting technical direction, ensuring best practices, and facilitating collaboration across cross-functional teams. Their work impacts the successful deployment of large-scale AI solutions and helps organizations stay at the forefront of machine learning innovation.

What are some typical challenges an Engineering Manager Transformer faces when leading cross-functional teams?

Engineering Manager Transformers often navigate complex project requirements that require close collaboration between electrical, mechanical, and software engineering teams. One common challenge is aligning diverse technical perspectives and ensuring effective communication to meet project deadlines. Additionally, balancing resource allocation while maintaining high standards for safety and compliance can be demanding. Successful managers foster a collaborative environment and proactively address any knowledge gaps within the team to deliver high-quality transformer solutions.
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