ZipRecruiter

Log In

1

Engineering Manager Transformer Jobs in Boston, MA

Form Energy

Manager, Materials Engineering

Somerville, MA · On-site

$170K - $212K/yr

... our mission and transform the energy landscape for the better. Feeling energized to make a ... Role Description Form Energy is hiring a Manager of Materials Engineering to build and lead a team ...

Symbotic

Manager of Mechanical Engineering

Wilmington, MA · On-site

$113K - $156K/yr

What we need We are looking for a Manager of Mechanical Engineering to join our Fleet Robotics team ... As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of ...

Symbotic

Manager of Mechanical Engineering

Wilmington, MA · On-site

$113K - $156K/yr

What we need We are looking for a Manager of Mechanical Engineering to join our Fleet Robotics team ... As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of ...

previous page

Showing results 41-60

All JobsEngineering Transformer JobsEngineering Manager Transformer JobsEngineering Manager Transformer Jobs in Boston, MA

Engineering Manager Transformer information

See Boston, MA salary details

$50.5K

$159.6K

$189K

How much do engineering manager transformer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for engineering manager transformer in Boston, MA is $159,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,600.00 and $187,900.00 per year, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as an engineering manager transformer?

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 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.

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 popular job titles related to Engineering Manager Transformer jobs in Boston, MA?

For Engineering Manager Transformer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Engineering Manager Transformer jobs in Boston, MA look for?

The top searched job categories for Engineering Manager Transformer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Engineering Manager Transformer jobs?

Cities near Boston, MA with the most Engineering Manager Transformer job openings:

Engineering Manager Transformer jobs near you
Infographic showing various Engineering Manager Transformer job openings in Boston, MA as of July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $159,557 per year, or $76.7 per hour.

Senior Engineering Manager, Robotics and Humanoid Research

FieldAI

Boston, MA • On-site

Full-time

Re-posted 12 days ago

Job description

Job Summary:
FieldAI is transforming how robots interact with the real world. We are seeking an accomplished Senior Engineering Manager to lead a lean, high-performing team of research scientists and engineers working at the forefront of robotics AI, defining research strategy and overseeing the development of advanced AI algorithms.
Responsibilities:
• Define and execute the robotics AI research roadmap in alignment with FieldAI’s mission and product goals.
• Identify emerging research directions, tools, and techniques across robotics, embodied AI, and machine learning.
• Establish clear technical goals, milestones, and success metrics tied to real-world robot performance.
• Recruit, mentor, and manage a multidisciplinary team of research scientists and engineers.
• Provide hands-on technical leadership through design reviews, experiment reviews, and close collaboration on challenging problems.
• Own performance management, professional development, and career progression within the team.
• Lead projects from problem definition through algorithm design, simulation, on-robot testing, and field deployment.
• Ensure research outputs translate into robust, scalable, and safe systems on physical robots.
• Champion experimental rigor, including benchmarking, ablations, reproducibility, and failure analysis.
• Collaborate closely with product, engineering, and operations teams to integrate research into production systems.
• Communicate technical progress, risks, and tradeoffs clearly to cross-functional stakeholders and leadership.
• Represent Field AI externally through publications, conferences, collaborations, and recruiting.
• Build and maintain processes for experiment management, evaluation, and reproducibility.
• Manage resources, timelines, and priorities to deliver high-quality results efficiently.
• Foster a culture of technical excellence, ownership, and rapid iteration.
Qualifications:
Required:
• PhD in Computer Science, Robotics, Artificial Intelligence, or a related field, or equivalent practical experience, with a strong background in applied research.
• 8+ years of experience delivering impactful research in robotics AI, machine learning, or closely related domains.
• 4+ years of leadership experience managing research and engineering teams, including hiring, mentorship, performance management, and career development.
• Proven ability to lead multiple complex projects in parallel, from early research through real-world validation.
• Direct, hands-on experience developing, testing, and deploying AI models on humanoid and/or quadruped robots.
Preferred:
• Experience with large-scale field robotics deployments.
• Deep expertise in one or more areas such as robotics reinforcement learning, manipulation, perception, planning, or multi-robot systems.
• Demonstrated success with sim-to-real transfer on legged or humanoid platforms.
• Experience deploying AI on embedded or edge systems in resource-constrained environments.
• Publications or impactful open-source contributions in robotics or embodied AI.
Company:
FieldAI is building general robot intelligence for the physical world. Founded in 2023, the company is headquartered in Mission Viejo, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Apply