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Director Robotic 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 ... Have direct experience with simulation, agent-based modeling, Monte Carlo methods, or other ...

Recruit, develop, and retain a team of RPA developers, coordinators, and business analysts * Set ... direct management of technical staff * Demonstrated experience scaling an RPA program or center of ...

... robot simulation and policy learning. * Proficiency in Python; solid engineering discipline ... High ownership, fast iteration, and direct connection to real-world datasets. #J-18808-Ljbffr

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Autonomous Robotics Software Engineer (Robotics / Autonomy / C++) Advanced Robotics Group, LLC is ... simulation environments · Hands-on experience with robotic platforms and field testing Location ...

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Director Robotic Simulation Engineer information

What does a Director Robotic Simulation Engineer do?

A Director Robotic Simulation Engineer oversees the development and management of simulation environments for robotic systems. They lead teams in designing, testing, and optimizing virtual models to ensure robots perform effectively in real-world applications. This role involves strategic planning, collaboration with cross-functional teams, and integrating advanced technologies to improve simulation accuracy and efficiency. Their work is crucial for reducing costs, minimizing physical prototyping, and accelerating the deployment of robotic solutions.

What are the key skills and qualifications needed to thrive as a Director Robotic Simulation Engineer?

To thrive as a Director Robotic Simulation Engineer, you need advanced expertise in robotics, computer science, and simulation modeling, often supported by a master's or Ph.D. in a related field. Proficiency with simulation software such as ROS, Gazebo, MATLAB/Simulink, and familiarity with programming languages like Python or C++ is essential. Leadership, strategic thinking, and strong communication skills are crucial for managing teams and collaborating across departments. These skills ensure the effective development, testing, and deployment of complex robotic systems in alignment with organizational goals.

How does a Director Robotic Simulation Engineer typically collaborate with cross-functional teams in the development process?

As a Director Robotic Simulation Engineer, you will frequently collaborate with multidisciplinary teams, including software developers, mechanical engineers, and project managers, to ensure simulation models accurately reflect real-world performance. This role involves leading discussions to integrate simulation feedback into design iterations, coordinating with testing teams to validate results, and occasionally interfacing with clients for project updates. Strong communication skills and the ability to translate complex technical findings into actionable insights for other departments are essential. Regular meetings and collaborative platforms are commonly used to keep all stakeholders aligned throughout the development cycle.

What is the difference between Director Robotic Simulation Engineer vs Robotic Simulation Engineer?

AspectDirector Robotic Simulation EngineerRobotic Simulation Engineer
CredentialsBachelor's/Master's in Engineering, often with leadership experienceBachelor's or higher in Engineering or related field
Work EnvironmentLeadership role overseeing teams and projectsHands-on technical role focused on simulation development
Employer & IndustryManufacturers, tech companies, R&D labsRobotics firms, research institutions, manufacturing

The main difference is that the Director Robotic Simulation Engineer holds a leadership position, managing teams and strategic projects, while the Robotic Simulation Engineer focuses on technical development and simulation tasks. Both roles require engineering expertise, but the director role emphasizes management and oversight.

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

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

What are popular job titles related to Director Robotic Simulation Engineer jobs in New York?

For Director Robotic Simulation Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Director Robotic Simulation Engineer jobs in New York look for?

The top searched job categories for Director Robotic Simulation Engineer jobs in New York are:

What cities in New York are hiring for Director Robotic Simulation Engineer jobs?

Cities in New York with the most Director Robotic Simulation Engineer job openings:

Simulation Engineer

Aaru

New York, NY • On-site

$250K - $800K/yr

Full-time

Medical, Dental, Vision

Re-posted 5 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.