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Trainee Battery Modeling Simulation Engineer Jobs in New York

Simulation Engineer

New York, NY · On-site

$250K - $800K/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 ...

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. • ...

Early on, you will design systems, write and review code, debug model behavior, and expand the team of simulation engineers. As it expands, you will move to building the organization out, hiring ...

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 ...

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 ...

We're creating AI-powered phishing simulations that use large-language models and voice synthesis ... We're defining the future of social engineering defense, where trust is protected, and deception ...

Perform circuit modeling, simulation, optimization, testing, and troubleshooting. * Develop ... Collaborate with engineering technicians, designers, and cross-functional teams throughout product ...

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Trainee Battery Modeling Simulation Engineer information

What does a trainee battery modeling simulation engineer do?

A Trainee Battery Modeling Simulation Engineer assists in creating and running computer models to simulate the behavior and performance of batteries under various conditions. Their responsibilities often include collecting and analyzing data, setting up simulation parameters, and helping interpret simulation results to inform battery design and development. They typically work under the guidance of senior engineers while learning industry-standard software tools and battery technologies. This role is crucial for optimizing battery life, safety, and efficiency in applications like electric vehicles and renewable energy storage.

What is the difference between Trainee Battery Modeling Simulation Engineer vs Battery Design Engineer?

AspectTrainee Battery Modeling Simulation EngineerBattery Design Engineer
CredentialsTypically pursuing or recent graduate in engineering or related fieldUsually holds a degree in electrical, mechanical, or chemical engineering
Work EnvironmentInternship or entry-level role focused on simulation and modeling tasksDesign and development of battery systems, often in R&D teams
Industry UsageCommon in battery manufacturing and research companiesFound in battery product development and automotive industries

The Trainee Battery Modeling Simulation Engineer primarily focuses on learning and applying simulation techniques to model battery behavior, while the Battery Design Engineer actively develops and optimizes battery designs. Both roles require engineering backgrounds, but the trainee role emphasizes gaining practical modeling skills, whereas the design role involves hands-on development and testing of battery systems.

What are the typical daily tasks and collaborative interactions for a trainee battery modeling simulation engineer?

As a Trainee Battery Modeling Simulation Engineer, your daily tasks often involve developing and running computational models to simulate battery performance under various conditions. You'll work closely with senior engineers and scientists to analyze simulation data, validate models against experimental results, and refine simulation techniques. Collaboration is key—expect to participate in team meetings, share findings, and coordinate with cross-functional teams such as materials scientists and testing engineers to ensure simulations align with project goals. This hands-on environment provides valuable exposure to both technical challenges and interdisciplinary teamwork.

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

To thrive as a Trainee Battery Modeling Simulation Engineer, you need a strong background in electrochemistry, materials science, or engineering, with a relevant degree such as chemical, electrical, or mechanical engineering. Familiarity with simulation tools like COMSOL Multiphysics, MATLAB, or ANSYS, and knowledge of programming languages such as Python, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with teams and interpret complex data. These skills ensure accurate modeling, efficient research, and effective teamwork in the fast-evolving field of battery technology.
What cities in New York are hiring for Trainee Battery Modeling Simulation Engineer jobs? Cities in New York with the most Trainee Battery Modeling Simulation Engineer job openings:

Simulation Engineer

Aaru

New York, NY • On-site

$250K - $800K/yr

Full-time

Medical, Dental, Vision

Re-posted 21 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.