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Battery Modeling Simulation Engineer Jobs in Bronx, NY

Simulation Engineer

New York, NY · On-site

$200K - $600K/yr

ABOUT THE ROLE Simulation Engineering owns the path from research idea to production system ... Researchers prove out how to synthesize an audience, model a world, predict responses, score ...

Simulation Engineering Manager

New York, NY · On-site

$280K - $425K/yr

Researchers may prove a new method for constructing a population, modeling a world, estimating an outcome, or evaluating fidelity. Simulation Engineering turns that method into robust, reusable ...

New

Aerodynamic Simulation Engineer

Brooklyn, NY · On-site

$110K - $140K/yr

The engineer will create models to inform the design of products sold in mass retail channels. Job Duties: • Develop and implement simulation models for airflow in various kitchen appliances. • ...

They perform simulations to test various parameters like load, stress, thermal expansion, and ... May use computer-aided design (CAD) and computer-aided engineering (CAE) software for modeling and ...

Principal CFD Engineer

Manhattan, NY · On-site

$100 - $130/hr

Building robust parametric CAD models (NX or CATIA) coupled with simulation pipeline automation ... Continuously improving engineering best practices, adapting CFD model setups and outputs to support ...

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Battery Modeling Simulation Engineer information

See Bronx, NY salary details

$40.6K

$128.6K

$198.5K

How much do battery modeling simulation engineer jobs pay per year?

As of Aug 25, 2026, the average yearly pay for battery modeling simulation engineer in Bronx, NY is $128,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $152,600.00 per year, depending on experience, location, and employer.

What is a battery modeling simulation engineer?

A Battery Modeling Simulation Engineer develops and implements mathematical models to simulate battery performance, behavior, and lifespan. They use software tools and simulations to analyze battery efficiency, thermal management, and electrochemical properties. Their work helps optimize battery designs for applications like electric vehicles, renewable energy storage, and consumer electronics. This role requires expertise in physics, electrochemistry, and computational modeling to improve battery reliability and performance.

What are the key skills and qualifications needed to thrive as a battery modeling simulation engineer?

To thrive as a Battery Modeling Simulation Engineer, you should have a solid background in electrochemistry, physics, and computational modeling, typically supported by a degree in engineering or a related field. Proficiency in simulation tools such as COMSOL, MATLAB, or ANSYS, and familiarity with battery management systems and data analysis software, is essential. Strong problem-solving skills, attention to detail, and effective collaboration and communication abilities are highly valued in this role. These competencies are crucial for accurately modeling battery behaviors, identifying performance improvements, and working efficiently with multidisciplinary teams.

What are some common challenges faced by battery modeling simulation engineers, and how are they addressed?

Battery Modeling Simulation Engineers often work with complex, evolving battery technologies and must accurately simulate real-world behaviors—challenges that require staying up-to-date with the latest research and adapting models accordingly. They may encounter difficulties with unavailable or incomplete data, thermal management, and integrating simulation results into practical applications. To overcome these challenges, engineers collaborate closely with chemists, experimentalists, and software developers, regularly validate models with lab results, and participate in continuous learning through workshops or trainings. This dynamic environment encourages innovative problem-solving and provides valuable professional growth opportunities.

What are popular job titles related to Battery Modeling Simulation Engineer jobs in Bronx, NY?

For Battery Modeling Simulation Engineer jobs in Bronx, NY, the most frequently searched job titles are:

What job categories do people searching Battery Modeling Simulation Engineer jobs in Bronx, NY look for?

The top searched job categories for Battery Modeling Simulation Engineer jobs in Bronx, NY are:

What cities near Bronx, NY are hiring for Battery Modeling Simulation Engineer jobs?

Cities near Bronx, NY with the most Battery Modeling Simulation Engineer job openings:

Simulation Engineer

Aaru

New York, NY • On-site

$200K - $600K/yr

Full-time

Medical, Dental, Vision

Re-posted 7 days ago


Job description

ABOUT AARU
Aaru operates at the frontier of predictive intelligence, using AI to simulate and predict human behavior at scale. By generating and deploying instances of artificial intelligence that mirror humans, called agents, Aaru simulates entire populations with unprecedented accuracy. Our partners use Aaru to refine strategic positioning, identify and understand high-value audiences, validate concepts and messaging before launch, optimize pricing decisions, and build a continuously richer understanding of their customers through simulation. We provide organizations with invaluable foresight, empowering them to anticipate outcomes and proactively make the right decisions at the right time, every time.
We're a small, dedicated, mission-driven team and we intend to stay that way. We believe the best work happens when exceptionally talented people are given ownership, trust and the space to operate without bureaucratic friction. We work with urgency and intellectual honesty and expect new team members to match our velocity. We seek individuals who thrive at the frontier, who push beyond conventional limits, who bring curiosity and conviction in equal measure, and who want their work to have demonstrable impact in the world. If you're energized by the idea of a small team doing things that feel impossible, let's build together.
ABOUT THE ROLE
Simulation Engineering owns the path from research idea to production system. Researchers prove out how to synthesize an audience, model a world, predict responses, score accuracy, or ship a result; you turn those ideas into robust, reusable, fast code - the objects, contracts, evaluations, and workflows that produce the product.
RESPONSIBILITIES
  • Productionize the core simulation loop - audience generation, world modeling, response prediction.
  • Design the reusable abstractions that the product is made of: agent and population objects, simulation contracts and interfaces, evaluation harnesses, etc.
  • Build and own evaluation and accuracy infrastructure.
  • Make simulations fast and cheap enough to run at scale.
  • Partner closely with Simulation Research to harden hybrid LLM + classical architectures.
  • Build the workflows and tooling that let deployment and forward-deployed teams stand up new client simulations.
  • Create the calculation, analysis, and publication layers that turn raw agent output into the decision-ready artifacts customers see.
  • Hold the line on engineering quality across a fast-moving codebase.

YOU MAY BE A FIT IF
  • You have deep expertise in ML and AI, with meaningful prior work using Large Language Models in production systems
  • You've designed and run rigorous ML experiments, moving from hypothesis to evaluation to deployment
  • You have 3+ years of hands-on experience building ML/AI systems (research or applied)
  • You're comfortable working across the full model lifecycle: data collection, training, evaluation, and production integration
  • You have experience working cross-functionally with engineering and product teams to ship ML-powered features
  • You're deeply curious and motivated to push the boundaries of what simulation technology can do
STRONG CANDIDATES MAY ALSO
  • Have publications at top ML venues (NeurIPS, ICML, ICLR, ACL)
  • Have experience building or fine-tuning multi-agent systems
  • Have worked on probabilistic modeling, Bayesian inference, or causal reasoning
  • Have familiarity with our stack or demonstrate the ability to learn unfamiliar technologies quickly
  • Have direct experience with simulation, agent-based modeling, Monte Carlo methods, or other modeling-and-prediction systems.
  • Have experience with hybrid architectures that combine LLMs with classical statistical or ML methods.
  • Have background in a quantitative or data-heavy domains - quant finance, computational social science, ad measurement, forecasting, statistics, or psychometrics.
  • A research sensibility: comfort reading papers, prototyping alongside researchers, and contributing to or co-authoring published work.
LOCATION
This role is based in New York City. Aaru is an in-person company, working 5 days a week in office. Candidates are expected to be located within the New York City metropolitan area or open to relocation.
BENEFITS
At Aaru, we take care of our people. In addition to a competitive base salary and equity participation, we offer comprehensive medical, vision, and dental coverage, visa sponsorship and relocation support, and various other benefits and perks.