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Simulation Jobs in New York (NOW HIRING)

Lead Engineer, AI Attack Simulation

New York, NY · On-site +1

$112K - $147K/yr

Lead Engineer, AI Attack Simulation Remote [within the US] ABOUT THE ROLE: HiddenLayer is seeking a hands-on Lead Engineer, AI Attack Simulation to own the technical direction and execution of our ...

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Simulation information

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$12K

$74K

$132.9K

How much do simulation jobs pay per year?

As of Aug 18, 2026, the average yearly pay for simulation in New York is $73,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,100.00 and $87,000.00 per year, depending on experience, location, and employer.

What is a simulation specialist?

A simulation specialist is a professional who designs, develops, and manages simulated environments for training, research, or analysis purposes. They often work in industries such as healthcare, aviation, engineering, or the military to create realistic scenarios that help people practice skills or test systems without real-world risks. Simulation specialists use advanced technology and software to create these interactive models, ensuring they accurately replicate real-life situations.

What are the key skills and qualifications needed to thrive as a simulation specialist?

To thrive as a Simulation Specialist, you typically need a background in engineering, computer science, or a related field, along with strong analytical and problem-solving skills. Expertise in simulation software such as MATLAB, Simulink, or ANSYS, and familiarity with programming languages like Python or C++, are commonly required. Attention to detail, effective communication, and teamwork are essential soft skills for collaborating with cross-functional teams and conveying complex results. These skills and qualifications are crucial for building accurate models, troubleshooting issues, and delivering reliable simulations that inform decision-making.

What are some common challenges faced by simulation professionals when working on complex projects?

Simulation professionals often encounter challenges such as integrating diverse data sources, ensuring model accuracy, and effectively communicating technical results to non-technical stakeholders. Working on complex projects usually involves collaborating with multidisciplinary teams, managing tight deadlines, and adapting models as project requirements evolve. Developing strong problem-solving skills and maintaining clear communication with team members and clients are essential for overcoming these challenges and delivering successful simulation outcomes.

What is the difference between Simulation vs CAD Designer?

AspectSimulationCAD Designer
Required CredentialsEngineering degrees, certifications in simulation softwareEngineering or design degrees, CAD software certifications
Work EnvironmentEngineering firms, manufacturing, aerospaceDesign studios, manufacturing, product development
Industry UsageTesting and analyzing product performanceCreating detailed product models and drawings

Simulation specialists focus on testing and analyzing how products perform under various conditions using simulation software. CAD Designers create detailed 3D models and drawings for manufacturing and design purposes. While both roles require engineering knowledge and software skills, Simulation emphasizes analysis and testing, whereas CAD Design centers on creating precise models for production.

How do you become a simulation engineer?

To become a simulation engineer, typically a bachelor's degree in engineering, computer science, or a related field is required, along with strong skills in programming, modeling, and simulation software such as MATLAB or Simulink. Gaining experience through internships, certifications, or projects involving system modeling and analysis can also improve job prospects.

What careers use simulation?

Simulation is used in various careers such as aerospace engineering, healthcare training, military, automotive design, and software development. Professionals in these fields often work with specialized simulation software and may require skills in modeling, programming, or data analysis to create realistic training environments or test scenarios.

What is a simulation job?

A simulation job involves creating, analyzing, or operating computer-based models that replicate real-world systems or processes. These roles often require skills in programming, data analysis, and understanding of the specific industry, such as engineering, healthcare, or aerospace. Simulation professionals may work with specialized software and often need a background in science or technology.

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

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

What cities in New York are hiring for Simulation jobs?

Cities in New York with the most Simulation job openings:

Infographic showing various Simulation job openings in New York as of August 2026, with employment types broken down into 75% Full Time, 10% Part Time, and 15% Contract. Highlights an 85% In-person, 5% Hybrid, and 10% Remote job distribution, with an average salary of $73,958 per year, or $35.6 per hour.

Senior Simulation Engineer - Electromagnetics Specialist

PhysicsX

New York, NY • On-site

$114K - $157K/yr

Full-time

Posted 5 days ago


Job description

About us
PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software.
We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.
Who We're Looking For
We are seeking a skilled Electromagnetic Simulation Expert with a strong focus on high-frequency electromagnetics applications in the semiconductor domain including chip and advanced package design, signal and power integrity, high-speed interconnects, and EMI/EMC. Experience with adjacent applications such as antenna design, induction heating, or electric motors is also valuable.
You bring deep expertise in electromagnetic theory and simulation, with demonstrated hands-on experience in one or more key areas: low-frequency electromagnetics, including magnetostatics, electrostatics, motors, transformers, actuators, and eddy current analysis; high-frequency electromagnetics, spanning microwave components, antennas, radar and RCS modeling, S-parameter analysis, and signal and power integrity; or EMI/EMC analysis across the frequency spectrum.
You have a solid ability to apply fundamental knowledge to real-world phenomena across automotive and electric vehicles, aerospace and defense, telecommunications, semiconductor and electronics, and other industries. Highly proficient in at least one industry-standard EM simulation platform, you are adept at using these tools to create efficient, scalable workflows that drive impactful results. Relevant tools in this space include Ansys HFSS, Ansys Maxwell, CST Studio Suite, COMSOL Multiphysics with its RF and AC/DC modules, Altair FEKO, Altair Flux, and Siemens Simcenter MAGNET. Coding skills in Python and/or MATLAB, or the ability to quickly learn programming languages, is an advantage. Experience with PCB layout and signal integrity analysis using tools such as Cadence Allegro, Altium Designer, or Ansys SIwave is a nice to have.
With at least 3 to 5 years of industry experience (post Masters or PhD) in a commercial, non-research environment, you're ready to hit the ground running. You're comfortable setting up complex EM simulations independently, interpreting results with depth, and making informed decisions based on solid physics and engineering judgement.
As a Senior Simulation Engineer, you won't just create models, you'll build what truly matters.
This Role
In this role, you'll work closely with our Data Scientists, Machine Learning Engineers, and customers to understand and define the electromagnetics engineering challenges we are solving. You'll play a crucial role in delivering high-fidelity simulations by:
  • Independently building complex electromagnetic models from the ground up, covering low-frequency and high-frequency EM applications, to simulate and understand complex real-world phenomena, including using experimental data to validate simulations and ensure accuracy.
  • Automating simulation pipelines, enabling fast optimization and parametric design coupling for efficient results across a broad range of EM applications.
  • Leveraging our cloud platform and on-premises HPC to accelerate high-fidelity models beyond smart model setup and meshing choices.
  • Collaborating closely with customers to understand their engineering challenges and solve them using simulation and AI. You will present results clearly and suggest next steps while balancing accuracy and efficiency, often working under pressure to meet tight deadlines.
  • Working at the intersection of CAE and data science, generating accurate simulation results and predictions to train advanced Machine Learning and Deep Learning models.
  • Continuously improving engineering practices, adapting EM model setups and outputs to support the development of Deep Learning surrogates.
  • Mentoring junior engineers as part of a collaborative team.
  • Traveling to customer sites in the North America area, an average of 3-4 weeks per quarter, where you'll collaborate closely with customers to build solutions on site.

As the role evolves, there are exciting opportunities for growth as an individual contributor or a technical lead, especially if you're driven to take ownership of more complex projects and lead the direction of future solutions.
Please note, this role is based in New York City, working 2-3 days per week in our new office.
Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you'll contribute to this exciting journey!
We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics.
We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.