2

Entry Level Modeling Simulation Engineer Jobs in New York

We are building an AI-driven simulation software stack for engineering and manufacturing across ... Building machine learning models and pipelines in Python, using common libraries and frameworks (e ...

Entry Level Civil Engineer

Neptune, NJ · On-site

$60K - $75K/yr

Entry Level Civil Engineer Department: Civil/Municipal Employment Type: Full Time Location: Neptune ... simulations, and role-play exercises. The program covers topics like project economics ...

... for engineers looking to grow beyond the typical entry-level experience. Over six months ... simulations, and role-play exercises. The program covers topics like project economics ...

... for engineers looking to grow beyond the typical entry-level experience. Over six months ... simulations, and role-play exercises. The program covers topics like project economics ...

Showing results 21-40

Entry Level Modeling Simulation Engineer information

What is an entry level modeling simulation engineer?

An Entry Level Modeling Simulation Engineer is a professional who uses computer models and simulations to analyze, test, and improve systems or products, often in fields like aerospace, automotive, or manufacturing. They typically work with software tools to create virtual representations of real-world processes, enabling companies to predict outcomes and optimize designs before physical prototypes are built. This role is ideal for recent graduates or those new to the industry, providing foundational experience in engineering analysis and problem-solving. Responsibilities may include developing simulation models, validating results, and collaborating with senior engineers and other departments.

What are the key skills and qualifications needed to thrive as an entry level modeling simulation engineer?

To thrive as an Entry Level Modeling Simulation Engineer, you need a solid background in mathematics, physics, and computer science, usually supported by a relevant engineering or STEM degree. Familiarity with simulation software (like MATLAB or Simulink), programming languages (such as Python or C++), and version control systems is often required. Strong problem-solving abilities, attention to detail, and effective teamwork help set you apart in this role. These skills ensure accurate model development, effective collaboration, and the ability to solve complex real-world engineering problems.

What kinds of projects and collaboration can I expect as an entry level modeling simulation engineer?

As an Entry Level Modeling Simulation Engineer, you'll typically work on projects involving the creation, testing, and validation of simulation models for systems or products. You'll collaborate closely with senior engineers, software developers, and sometimes project managers to ensure model accuracy and integration into larger projects. Expect to contribute by running simulations, analyzing data, and preparing reports, while learning industry-standard tools and methodologies. The work environment is often team-oriented, with regular meetings to discuss progress and troubleshoot challenges together.

What is the difference between Entry Level Modeling Simulation Engineer vs Mechanical Design Engineer?

AspectEntry Level Modeling Simulation EngineerMechanical Design Engineer
Required CredentialsBachelor's in Mechanical, Aerospace, or related fields; basic knowledge of simulation softwareBachelor's in Mechanical or Aerospace Engineering; CAD and design software skills
Work EnvironmentResearch labs, engineering teams, simulation software environmentsDesign studios, manufacturing facilities, engineering departments
Employer & Industry UsageAutomotive, aerospace, defense, manufacturing companiesProduct design firms, manufacturing companies, R&D departments

While both roles require a background in mechanical engineering and involve technical skills, the Entry Level Modeling Simulation Engineer focuses on creating and analyzing virtual models using simulation software, whereas the Mechanical Design Engineer emphasizes designing physical components and systems. Both roles are essential in product development but differ in their primary tasks and tools used.

What are the most commonly searched types of Modeling Simulation Engineer jobs in New York?

The most popular types of Modeling Simulation Engineer jobs in New York are:

What are popular job titles related to Entry Level Modeling Simulation Engineer jobs in New York?

For Entry Level Modeling Simulation Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Entry Level Modeling Simulation Engineer jobs in New York look for?

The top searched job categories for Entry Level Modeling Simulation Engineer jobs in New York are:

Infographic showing various Entry Level Modeling Simulation Engineer job openings in New York as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution.

Research Scientist - Channel Simulation and Data Analytics

New York University

New York, NY • On-site

Full-time

Medical, Dental, PTO

Re-posted 20 days ago


New York University rating

8.5

Company rating: 8.5 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

79th of 619 rated colleges and universities


Job description

Description
Research Scientist
NYU Wireless LAB
New York University Tandon School of Engineering
The Electrical and Computer Engineering Department at NYU Tandon School of Engineering is seeking to hire two (2) Postdoctoral Associates to join an exciting project to commercialize next generation wireless data and analytics.
New York University (NYU) is one of the top private universities in the United States, and the Tandon School of Engineering, located in Brooklyn, NY, has a distinct history of having been known previously as Brooklyn Poly and the NYU Polytechnic School of Engineering. It is
deeply committed to excellence in teaching and learning. Tandon fosters innovation and entrepreneurship among students and faculty who make a difference in the world.
Research Scientist- Channel Simulation and Data Analytics
Position Overview:
NYU, with its world-class industrial affiliates program and extensive research expertise in wireless communications, is partnering with one of the world's largest professional engineering organizations to create unique research and development offerings for the wireless communications industry. In fulfillment of this mission, NYU is seeking a talented, motivated and energetic Channel Simulation and Data Analytics Researcher to lead efforts in creating state of the art RF channel simulators, software, and data analytics tools for statistical and site-specific radio frequency (RF) propagation prediction products in collaboration with our partner.
Program Description:
The collaboration will serve the wireless communications industry with much needed propagation data and analytics from new environments and frequency bands never explored. NYU is a vibrant, dynamic and fast paced creative leader in this field. This collaboration will operate much like a start-up within NYU for an initial period but rapidly become self-sustaining with anticipated growth and will provide vast research publication and teaching opportunities while building a global user base. The Channel Simulation and Data Analytics Researcher has an opportunity to play a key role in this success and play a vital role in NYU's wireless communications research community, as well as provide fundamental knowledge on the world stage.
Position:
A Research Scientist who wishes to continue research in wireless communications with advanced AI/ML approaches. Initial three-year appointment with potential extension based on program success.
Duties and Responsibilities:
The Channel Simulation and Data Analytics Research Scientist will plan, manage, oversee and carry out extensive data processing and coding to implement existing data sets and channel modeling simulators in Python, and to build AI-based software tools to create new propagation prediction software, working with Professors Theodore S. Rappaport and Daniel Abraham in the NYU WIRELESS center, and NYU's Technology and Opportunity Ventures office. Implement statistical and site specific and channel models based on past and future empirical databases. Implement AI and ML techniques to enhance and improve the creation of statistical and site-specific propagation simulators. Coordinate and lead data science activities related to channel measurements and channel modeling, while leading a team of graduate and undergraduate students.
Master and improve the code base for all measurement systems, data processing approaches, and resulting models and simulators. Implement all logistics and software development tools and systems for best practices for the on-going coding for measurement campaigns, and for raw database sets and statistical and site-specific channel models based on empirical data. Provide data analytics that explore new methods for characterizing wireless channels:
  • Statistical and site-specific models based on empirical data
  • Use AI/ML techniques to enhance propagation simulators

Lead graduate students in all the above activities, publish results in peer reviewed literature, present data and papers in IEEE and industry/3GPP standard bodies, and provide data in specified data formats to our partner.
Salary and Benefits:
In compliance with NYC's Pay Transparency Act, the annual base salary for this position will range from $100K to $120 depending on the candidate's experience and qualification.
NYU employee benefits: Medical/Dental Insurance, PTO
Qualifications
Minimum Requirements: Ph.D. in electrical engineering, more specifically, RF engineering.
Desired Requirements: Previous experience in RF Channel modeling and coding for wireless propagation analytics, channel analysis and simulators. Strong experience building and implementing AI/ML models, creating algorithms, running simulations. Experience with Python and data science libraries. Experience in AI/ML applications for RF channel modeling a plus.
  • In-depth knowledge of state-of-the-art machine-learning algorithms, tools, and technologies for large-scale data. Strong research background or publication record in solving complex computational problems using data analytics methods.
  • Hand-on experience using complex machine-learning models to resolve large-scale data
  • analytics challenges, deploy, fine-tune and execute machine learning models in production.
  • Strong coding skills in Python, Spark, SQL, TensorFlow, Pytorch, or similar machine-learning and data engineering frameworks.
  • Preferred: experience with wireless data.
  • Excellent communication skills.
  • Demonstrated program coordination experience, ideally in an academic setting.
  • Candidates must present proof of eligibility to work in the United States.

Application Instructions
Applicants should submit, as one PDF, the following information:
• an up-to-date CV that includes a complete list of publications,
• a research statement that describes their interests and goals and how their research
relates to this position,
• brief cover letter explaining your interest and fit for the position;
• names and contact information for three references (submitted by recommenders, not
by the candidate);
• copies of up to three relevant scientific papers.
All application materials must be submitted electronically via Interfolio and sent to: [ece-announcements@nyu.edu] and directly to D.Abraham@nyu.edu with the subject line identifying NYU Wireless Initiative and the position.
Review of applications will begin as soon as possible and will continue until the position is filled. The expected start date is July 1, 2025, or sooner.
Equal Employment Opportunity Statement
For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
Sustainability Statement
NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability

What New York University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


New York University logo

About New York University

Sourced by ZipRecruiter

Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1831