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Semiconductor Engineering Jobs in New York (NOW HIRING)

Sr Lead Data Systems Engineering

New York, NY · On-site

$116K - $157K/yr

GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of ... Senior data engineering professional with strong technical solution design expertise, responsible ...

These span a myriad of project types in the Semiconductor Market Sector focused on premier clients ... Bachelor's degree in Engineering * 15 years related experience * A minimum 7 years project ...

These span a myriad of project types in the Semiconductor Market Sector focused on premier clients ... Bachelor's degree in Engineering * 15 years related experience * A minimum 7 years project ...

These span a myriad of project types in the Semiconductor Market Sector focused on premier clients ... Bachelor's degree in Engineering * 15 years related experience * A minimum 7 years project ...

Software Engineer, Product

New York, NY · On-site

$200K - $400K/yr

Meaningful experience working within the semiconductor industry or building software for hardware engineering workflows * Experience building developer tools, workflow systems, IDE extensions, or ...

Meet the Team Optics Operations Product Engineering team partners with cross-functional team of ... Strong experience with Advantest 93k ATE for high-performance semiconductor devices. * Excellent ...

Test Engineer

Leonia, NJ · On-site

$55K - $65K/yr

Requirements: BS in engineering or related discipline. Data acquisition experience and Lab View ... Kulite Semiconductor Products Inc. is an equal employment opportunity employer. All qualified ...

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Semiconductor Engineering information

See New York salary details

$49.8K

$71.9K

$90.8K

How much do semiconductor engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for semiconductor engineering in New York is $71,903.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,900.00 and $68,900.00 per year, depending on experience, location, and employer.

What is semiconductor engineering?

Semiconductor engineering is a specialized field focused on the design, development, and manufacturing of semiconductor devices, such as microchips and transistors, which are essential components in electronic devices. Engineers in this field work on creating and improving the materials, processes, and technologies used to produce integrated circuits and other semiconductor components. Their work is critical to advancements in computers, smartphones, automotive technology, and many other electronic systems. Semiconductor engineers often collaborate with multidisciplinary teams to solve complex technical challenges and drive innovation in the electronics industry.

What are the key skills and qualifications needed to thrive as a semiconductor engineer?

To thrive as a Semiconductor Engineer, you need a solid background in electrical engineering, physics, and materials science, typically supported by a relevant bachelor's or master's degree. Familiarity with CAD tools, circuit simulation software, and semiconductor fabrication processes is essential, along with certifications like Six Sigma or IPC standards being advantageous. Strong problem-solving abilities, attention to detail, and effective teamwork skills set outstanding candidates apart in this field. These competencies are crucial for designing reliable semiconductor devices, ensuring manufacturing efficiency, and driving innovation in a rapidly evolving industry.

What are some common challenges semiconductor engineers face when working on new chip designs?

Semiconductor engineers often encounter challenges such as managing the complexity of integrating millions or even billions of transistors on a single chip while ensuring performance, power efficiency, and manufacturability. Meeting tight project deadlines and rapidly evolving industry standards can also be demanding. Collaboration with cross-functional teams—including design, verification, and manufacturing engineers—is essential to identify and resolve issues early in the design cycle. Additionally, adapting to new process technologies and troubleshooting unexpected fabrication or performance problems are routine aspects of the role.

What is the difference between Semiconductor Engineering vs Electrical Engineering?

AspectSemiconductor EngineeringElectrical Engineering
Required CredentialsBachelor's or higher in Semiconductor, Electrical, or Electronics EngineeringBachelor's or higher in Electrical, Electronics, or Electrical Engineering
Work EnvironmentCleanrooms, labs, manufacturing facilities focused on chip design and fabricationOffices, labs, and field sites working on electrical systems, power, and circuitry
Industry UsagePrimarily in semiconductor manufacturing, chip design, and fabrication companiesBroadly used across power, electronics, telecommunications, and automation industries

Semiconductor Engineering specializes in designing, developing, and manufacturing semiconductor devices and integrated circuits, often within cleanroom environments. Electrical Engineering covers a wider range of electrical systems, power distribution, and circuitry across various industries. While both roles require similar educational backgrounds, Semiconductor Engineering focuses specifically on chip technology and fabrication processes, making it a more specialized field within the broader electrical engineering domain.

Are semiconductor engineers paid well?

Semiconductor engineers typically earn competitive salaries due to the specialized skills required, such as knowledge of chip design, fabrication processes, and electronic testing. Salaries vary based on experience, location, and education, but overall, the role is considered well-compensated within the engineering field.

What do semiconductor engineers do?

Semiconductor engineers design, develop, and test semiconductor devices and integrated circuits used in electronic equipment. They work with materials, fabrication processes, and testing tools to improve chip performance and reliability, often requiring knowledge of physics, chemistry, and engineering software. Their work typically involves collaboration in labs or cleanroom environments and may require specialized certifications or training.

What are the most commonly searched types of Semiconductor Engineering jobs in New York?

The most popular types of Semiconductor Engineering jobs in New York are:

What cities in New York are hiring for Semiconductor Engineering jobs?

Cities in New York with the most Semiconductor Engineering job openings:

Infographic showing various Semiconductor Engineering job openings in New York as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $71,903 per year, or $34.6 per hour.

Sr Lead Data Systems Engineering

GlobalFoundries

New York, NY • On-site

$116K - $157K/yr

Full-time

Posted 10 days ago


GlobalFoundries rating

8.3

Company rating: 8.3 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

67th of 544 rated manufacturers


Job description

About GlobalFoundries:
GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.
Summary of Role:
The Data Solutions Group is responsible for integrating manufacturing and engineering data out of a high variety of source systems used in the semiconductor engineering and production process. The data warehouse solutions are used in the GLOBALFOUNDRIES Fabs in Dresden, in the US and in Singapore, and the Data Solutions Group is responsible to conceptualize and provide timely, high-quality solutions that address analysis needs of engineers in a leading-edge semiconductor foundry
Essential Responsibilities:
Senior data engineering professional with strong technical solution design expertise, responsible for designing, building, optimizing, and governing enterprise data infrastructure and data pipelines. The role works closely with the Data Product Design team to translate business and design requirements into scalable, secure, and maintainable technical data products, while providing technical leadership and guidance to engineering and support teams.
Other Responsibilities:
  • Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.

Responsibilities include:
  • Leading complex, cross-functional data engineering projects, acting as a subject matter expert for Ab Initio, data warehouse design, ETL architecture, and cloud data platform integration.

  • Building data Solution: Creating secure, stable, and scalable data pipelines, managing analytics platforms

  • Design Standards and Framework: Provides appropriate consulting, interfacing, standards and framework for data pipelines,

  • Mentoring junior and mid-level data engineers, guiding implementation partners and operations support teams, reviewing design and code quality, and recommending engineering best practices.

  • Evaluating access control: Evaluating and reporting on access control processes to determine data asset security

  • Developing documentation: Creating technical documentation that supports best practices

Required Qualification:
  • Experience in preparing Data warehouse design artifacts based on given requirements - Defining Standards, Building Frameworks, and Source-Target Mapping

  • Strong analytical and data modeling skills including logical and physical schema design

  • Deep understanding of database technology and data use within analytic platforms

  • Hands-on expertise in Ab Initio GDE, Co>Operating System, EME, Conduct>It, Express>It, DML, XFR, multifile systems, and graph parameterization for enterprise-scale ETL development and support.

  • Experience owning production data pipelines, including incident triage, SLA management, root cause analysis, job recovery, restartability, scheduling coordination, and operational handoff to support teams.

  • Experience with AWS cloud Services including EMR, Redshift/Postgres

  • Experience with other cloud and ETL technologies, including Databricks, Snowflake, and Ab Initio.

  • Good Understanding of other programming languages Python, Java

  • Proven experience with large, complex database projects in environments producing high-volume data

  • Strong understanding of data governance practices, including metadata management, lineage, auditability, access control, data retention, and secure handling of sensitive enterprise data.

  • Demonstrated Problem solving skills; familiarity with various root cause analysis methods; experience in documenting identified problems and determined resolutions.

  • Experience analyzing performance issues and tuning large-scale data pipelines, SQL workloads, ETL graphs, and database processes.

Preferred Qualifications:
  • Master's degree in information technology, Electrical Engineering or similar relevant fields.

  • Minimum 15 years of experience in data warehouse design, ETL development, build activities, performance tuning, and optimization.

  • Very good knowledge of data warehouse architecture approaches and trends, and high interest to apply and further develop that knowledge, including understanding of Dimensional Modelling and ERD design approaches,

  • Experience in developing streaming applications Spark Streaming, Flink, Storm, etc.

  • Excellent conceptual abilities compared with very good technical documentation skills, e.g. ability to understand and document complex data flows as part of business / production processes,

  • Familiarity with SDLC concepts and processes

Additional Skill:
  • Experience in semiconductor / High Tech Manufacturing industry

  • Experience with reporting data solutions and business intelligence tools

  • Knowledge of statistical data analysis and data mining

  • Experience in test management, test case definition and test processes

GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard.
As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities.
All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations.
To ensure that we maintain a safe and healthy workplace for our GlobalFoundries employees, please note that offered candidates who have applied for jobs in India will have to be fully vaccinated prior to their targeted start date.
Expected Salary Range
The exact Salary will be determined based on qualifications, experience and location.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
An offer with GlobalFoundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.
GlobalFoundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. GlobalFoundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.
All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law

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