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Vehicle Simulation Jobs in New York (NOW HIRING)

CoreWeave

Business Development Manager- Physical AI

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... vehicles, industrial automation, and embodied AI) demands a fundamentally different compute stack than software-only AI. Workloads span large-scale simulation, synthetic data generation, foundation ...

Nscale

VP, Physical AI GTM

New York, NY · On-site

$196K - $253K/yr

... vehicles, and smart manufacturing-is a massive, specialized growth vector that requires unparalleled compute power for simulation, reinforcement learning, and massive edge-to-cloud data ingestion.

Socket.dev

VP, Physical AI GTM

Manhattan, NY · On-site

$200 - $450/hr

... vehicles, and smart manufacturing--is a massive, specialized growth vector that requires unparalleled compute power for simulation, reinforcement learning, and massive edge-to-cloud data ingestion.

Valinor Enterprises

Flight Controls Engineer

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We're a small, technical team moving fast - our vehicle is flying, our customers are real, and the work spans simulation to real life. We're seeking a Flight Controls & GNC Engineer to own the ...

LG Electronics

Embodied AI Engineer

Englewood Cliffs, NJ · On-site

$150K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle ... Architect and operate large-scale data pipelines that combine high-fidelity simulation, generative ...

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All JobsVehicle Simulation JobsVehicle Simulation Jobs in New York

Vehicle Simulation information

What are some common challenges faced in a vehicle simulation role, and how can I prepare for them?

Professionals in Vehicle Simulation often encounter challenges such as integrating complex real-world vehicle dynamics into virtual environments and ensuring simulation accuracy. You may also need to collaborate closely with cross-functional teams, including hardware engineers, software developers, and test drivers, to refine simulation models. Staying updated with the latest simulation software and automotive technologies is crucial, as is strong problem-solving ability to address unexpected simulation discrepancies. Building a solid foundation in physics, programming, and communication skills can help you succeed in this dynamic and evolving field.

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

To thrive as a Vehicle Simulation Engineer, you need a solid background in mechanical or automotive engineering, physics, and mathematics, often supported by a relevant degree. Familiarity with simulation software such as MATLAB/Simulink, CarSim, or ANSYS, and sometimes certification in these tools, is typically required. Strong analytical thinking, attention to detail, and effective teamwork and communication skills help you excel in this role. These competencies are essential to accurately model vehicle systems, validate designs, and collaborate across engineering teams to ensure vehicle performance and safety.

What is vehicle simulation?

Vehicle simulation refers to the use of computer models and software to mimic the behavior, dynamics, and performance of vehicles in various scenarios. This technology allows engineers and designers to test and optimize vehicles without the need for physical prototypes, saving time and cost. Vehicle simulation can assess aspects such as safety, efficiency, and handling under different conditions, and is widely used in automotive, aerospace, and research industries. It plays a crucial role in the development of autonomous vehicles and advanced driver-assistance systems.

What is the difference between Vehicle Simulation vs Vehicle Testing Engineer?

AspectVehicle SimulationVehicle Testing Engineer
Required CredentialsBachelor's in Mechanical, Automotive, or Software Engineering; proficiency in simulation softwareBachelor's in Mechanical, Automotive Engineering; experience with physical testing methods
Work EnvironmentPrimarily computer-based, using simulation software and modeling toolsLaboratories, test tracks, and vehicle testing facilities
Industry UsageUsed in automotive design, research, and development to predict vehicle behaviorInvolved in real-world testing to validate vehicle performance and safety
Common Search/ComparisonYesYes

Vehicle Simulation professionals focus on creating virtual models to predict vehicle behavior, while Vehicle Testing Engineers conduct physical tests to validate these models and ensure vehicle safety and performance. Both roles are essential in automotive development, often working together to optimize vehicle design and functionality.

What are popular job titles related to Vehicle Simulation jobs in New York? For Vehicle Simulation jobs in New York, the most frequently searched job titles are:
What job categories do people searching Vehicle Simulation jobs in New York look for? The top searched job categories for Vehicle Simulation jobs in New York are:
What cities in New York are hiring for Vehicle Simulation jobs? Cities in New York with the most Vehicle Simulation job openings:
Vehicle Simulation jobs near you
Infographic showing various Vehicle Simulation job openings in New York as of August 2026, with employment types broken down into 58% Full Time, 39% Part Time, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Staff Technical Lead Manager, Simulation, Machine Learning

Waymo

New York, NY • On-site

$238K - $302K/yr

Full-time

Re-posted 26 days ago

Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver™-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
The Driver Understanding and Evaluation team at Waymo develops a rich understanding of Waymo Driver's behavior. With over 1 million driverless miles per week, it is critical that Waymo can understand and assess the behavior of all its vehicles - both in the field and in simulation - with automated algorithms. The learned metrics team is a strategic bet to use machine learning to ensure we can scale to meet Waymo's goals. We collaborate across teams to bring ML to production systems and build what is Waymo's reward function. We build and operate large-scale machine learning and data systems, simulation workflows, and insight tools. We combine expert human judgements and advanced machine learning models to deliver training and evaluation data for the Waymo driver. We are looking for researchers and software engineers who are passionate about developing production grade machine learning systems for our autonomous vehicles and have an incessant drive to improve the performance of our technology stack.
This role follows a hybrid work schedule and reports to an Engineering Manager.
You will:
  • Lead a top-tier applied ML team focused on building ML models for AV behavior understanding and evaluation, using deep learning and Gen AI.
  • Lead the development of cutting edge Deep Learning and machine learning models to enhance human-led triaging and introduce automation for high-volume workflows
  • Design and build Gen AI LLM/VLM solutions for self driving car behavior analysis and anomaly detection
  • Enhance User Feedback Analysis, collaborate seamlessly with product and business teams to design and implement tools for multi-label classifications, sentiment assessment, comment summarization, root cause analysis and trend analysis of rider feedback
  • Oversee the production and optimization of machine learning models aiming to assess Waymo's expansive fleet of vehicles that cumulatively travel millions of miles.
  • Drive technical direction, and provide technical inputs and guidance to the team.
  • Work closely with PMs and TPMs to help define product requirements and align the technical agenda with the company's business objectives.
  • Collaborate closely with multiple teams (e.g., Prediction, Planning, Research), other technical leads, and senior leaderships across Waymo to deliver on key strategic efforts.

You have:
  • B.S. in Computer Science, Robotics, Machine Learning, similar technical field of study, or equivalent practical experience
  • 5+ years of experience leading engineering teams of 5-15 people
  • 7+ years of experience with hands-on experience in machine learning projects
  • 7+ years of hands-on experience building and deploying machine learning products in production environments
  • Experience in at least one of: Foundational Models, VLM, Deep Learning
  • Strong coding experience in C++ and/or Python.
  • Experience with ML frameworks such as TensorFlow, PyTorch, Hugging Face's transformers, along with expertise in deep learning models and ML deployment at scale

We prefer:
  • M.S. or Ph.D. degree Computer Science or related quantitative field with a specialization of machine learning.
  • Deep learning experience with Transformers
  • Gen AI LLM/VLM experience
  • Experience with building tools for applied machine learning, including MLOps, evaluation/validation techniques, and model performance optimization.
  • Large-scale data processing and analytical skills.

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$238,000-$302,000 USD

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