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Engine Performance Simulation Engineer Jobs in New York

We are building an AI-driven simulation software stack for engineering and manufacturing across ... real performance gains. * Continuously improving engineering best practices, adapting CFD model ...

... performance is dictated by data quality. The Role We are looking for a Research Scientist, RL & Simulation to own the RL + simulation engine that turns large-scale human demonstrations into scalable ...

Senior Performance Engineer

New York, NY ยท On-site

$114K - $157K/yr

Collects and analyzes network performance information required for simulation modelling studies. May provide performance engineering expertise in contributing to simulation modelling projects.

Senior Controls Engineer

Bridgewater, NJ ยท On-site

$99K - $131K/yr

Lead the programming efforts for control systems, ensuring that all software components are robust, secure, and optimized for performance. * Simulation & Testing * Develop simulation logic, standards ...

Senior Controls Engineer

Bridgewater, NJ

$99K - $131K/yr

Lead the programming efforts for control systems, ensuring that all software components are robust, secure, and optimized for performance. * Simulation & Testing * Develop simulation logic, standards ...

SEO Manager

New York, NY ยท On-site

$161K - $180K/yr

... developers to enterprise decision-makers. Performance & Revenue Accountability * Own KPIs tied to ... Maintain clear visibility into how SEO/AEO contributes to Postman's revenue goals. About You ...

... developers to enterprise decision-makers. Performance & Revenue Accountability * Own KPIs tied to ... Maintain clear visibility into how SEO/AEO contributes to Postman's revenue goals. About You ...

Perform device/process simulations and device layout for GaN power devices. * Assignments will ... Evaluate electrical / thermal performance and reliability of GaN power devices. * Prior experience ...

... engineering, design, and product management), contributing throughout all project phases from discovery to implementation. * Set up and monitor systems to detect and alert on SEO performance issues ...

New

SEO Tech Specialist

Manhattan, NY ยท On-site

$81K - $135K/yr

... engineering, design, and product management), contributing throughout all project phases from discovery to implementation. * Set up and monitor systems to detect and alert on SEO performance issues ...

New

Partner with Product Management, Engineering, and Design to integrate SEO requirements into page ... Collaborate with analytics teams to assess SEO and GEO performance, interpret insights into clear ...

Support team growth and performance across both AI driven visibility initiatives and traditional ... Lead initiatives that require alignment across marketing, brand, engineering, product, and other ...

Collaborate with content teams, developers, and designers to ensure SEO & AEO best practices are incorporated into new content and site updates * Monitor and analyze performance data across Google ...

... Engineering to develop internal tools, automation pipelines, and performance dashboards that ... Align SEM strategy with CRM, Paid Social, SEO, and Lifecycle teams to ensure an integrated ...

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Showing results 1-20

Engine Performance Simulation Engineer information

See New York salary details

$42.7K

$135K

$208.4K

How much do engine performance simulation engineer jobs pay per year?

As of Jun 7, 2026, the average yearly pay for engine performance simulation engineer in New York is $135,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,700.00 and $160,300.00 per year, depending on experience, location, and employer.

What is the difference between Engine Performance Simulation Engineer vs Powertrain Engineer?

AspectEngine Performance Simulation EngineerPowertrain Engineer
Primary FocusModeling and simulating engine performance and efficiencyDesigning and optimizing entire powertrain systems, including engine, transmission, and drivetrain
Required SkillsEngine simulation software, thermodynamics, engine mechanicsPowertrain integration, system-level analysis, control systems
Work EnvironmentR&D labs, simulation software environmentsDesign studios, testing facilities, cross-disciplinary teams
Industry UsageAutomotive, aerospace, heavy machineryAutomotive, commercial vehicles, hybrid/electric vehicle development

The Engine Performance Simulation Engineer specializes in creating detailed models to analyze engine behavior, while the Powertrain Engineer focuses on designing and integrating all components of the vehicle's power delivery system. Both roles require strong technical skills, but their scope and focus differ, with the simulation engineer concentrating on engine specifics and the powertrain engineer overseeing broader system integration.

What are the key skills and qualifications needed to thrive as an Engine Performance Simulation Engineer, and why are they important?

To thrive as an Engine Performance Simulation Engineer, you need a solid background in mechanical or automotive engineering, strong analytical skills, and experience with thermodynamics and fluid mechanics. Proficiency with simulation software such as GT-Power, MATLAB/Simulink, and CAD tools, along with knowledge of engine modeling methodologies, is typically required. Outstanding problem-solving abilities, attention to detail, and effective teamwork and communication skills set top performers apart. These skills and qualities are crucial for accurately predicting engine performance, optimizing designs, and collaborating efficiently in multidisciplinary engineering teams.

What are some common challenges faced by Engine Performance Simulation Engineers during project development?

Engine Performance Simulation Engineers often encounter challenges such as accurately modeling complex engine behaviors, managing large volumes of simulation data, and ensuring that simulation results align with real-world test data. Collaborating closely with design, testing, and calibration teams is essential to interpret results and refine simulation models. Additionally, keeping up with rapidly evolving simulation tools and integrating them into existing workflows can be demanding. Overcoming these challenges requires strong analytical skills, attention to detail, and effective communication with multidisciplinary teams.

What does an Engine Performance Simulation Engineer do?

An Engine Performance Simulation Engineer is responsible for using advanced software tools to model, analyze, and predict the performance of internal combustion engines or alternative powertrains. They simulate how engines will operate under various conditions, optimize engine parameters for efficiency and emissions, and support the design process before physical prototypes are built. Their work helps manufacturers create engines that meet performance, fuel economy, and regulatory requirements more efficiently and cost-effectively.

Principal CFD Engineer

PhysicsX

New York, NY โ€ข On-site

Full-time

Retirement, PTO

Posted 9 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
As a Principal Simulation Engineer (Delivery), you are a technical leader and problem solver who is passionate about creating practical, high-impact solutions that enable customers to make better engineering decisions. You combine deep simulation expertise with strong leadership and customer ownership, and you excel at working directly with customers (often directly on-site) to build CAE models that are integrated into AI-tools that are both useful and used.
You bring deep expertise in fluid mechanics, heat transfer, and multiphase modelling, with a solid ability to apply fundamental knowledge to real-world phenomena across a wide range of engineering applications. Highly proficient in at least one of Star-CCM+, OpenFOAM, or Fluent and adept at automating these tools to create scalable optimisation workflows that drive impactful results. Experience in parametric CAD modelling (NX or CATIA) and coding in Python/Java, (or the ability to quickly learn programming languages), is an advantage.
With 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 confident setting up CFD simulations independently, interpreting complex results with depth, and making informed decisions based on solid engineering judgement.
Note: Due to the nature of our aerospace and defense work, this position is open to US citizens only.
This Role
In this role, you'll work closely with our Data Scientists, Machine Learning Engineers, and customers to understand and define the engineering challenges we are solving.
You'll play a crucial role in delivering high-fidelity simulations by:
  • Leading the technical direction and delivery of complex multi-physics simulation workstreams, remaining hands-on for the most challenging aspects while guiding teams through execution.
  • Partner with customers to address their most complex engineering challenges through advanced CAE & AI solutions; present results clearly, recommend actionable next steps, and balance accuracy with efficiency under tight deadlines.
  • Independently building and/or guiding others to develop complex multi-physics models from geometry clean-up and meshing, to simulating and post-processing complex real-world phenomena, integrating experimental data for model validation.
  • Building robust parametric CAD models (NX or CATIA) coupled with simulation pipeline automation, for executing advanced design optimization and DoE studies.
  • Working at the intersection of CAE and Data Science to generate high-quality simulation datasets for training Machine/Deep Learning models. Leveraging data sampling techniques to efficiently capture the design space, reduce computational cost, and enhance model accuracy.
  • Accelerate high-fidelity modelling by using Flux (our cloud platform) and on-premise HPC resources, going beyond smart meshing and model setup to achieve real performance gains.
  • Continuously improving engineering best practices, adapting CFD model setups and outputs to support the development of Deep Learning surrogates.
  • Combining project leadership with a strong commitment to mentoring junior colleagues, contributing to a culture of collaboration, growth, and shared success.
  • Traveling globally (North America, Europe, Asia, Oceania), on average 3-4 weeks per quarter, to work side-by-side with customers in building solutions on-site.

Please note, this role is based in New York, working 2-3 days per week in our Manhattan 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!
What we offer
Build what actually matters
Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind.
Learn alongside exceptional people
Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you're ambitious, thoughtful, and driven by impact, you'll feel at home.
Influence over hierarchy
We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it's expected.
Sustainable pace, long-term ambition
Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our New York office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person.
And it doesn't stop there ...
Equity options - share meaningfully in the company you're helping to build.
5% contribution to 401(k) - build long-term security with a strong retirement plan.
Free team lunch 1x/week - good food, great company, and space to connect.
Private health insurance - comprehensive cover for you, offering total peace of mind.
Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.
20 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.
Personal development - dedicated support for learning, development, and leveling up over time.
Gympass / Wellhub (subsidized) - for you and up to 3 family members, supporting both physical and mental wellbeing.
Flexible Spending Account (FSA) - set aside pre-tax dollars for eligible healthcare expenses.
Watch this space, we're continuing to build this as we grow...
Salary: $200,000 - $300,000
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.