ZipRecruiter

Log In

1

Robotics Simulation Jobs in New York (NOW HIRING)

New York University

Research Scholar

New York, NY · On-site

$48K - $62K/yr

Robot Simulation: Train and deploy models within a simulated robot environment. * Exceptional communication and time management skills. * Ability to work both independently and within a team.

Reflex Robotics

Controls Engineer

New York, NY · On-site

$215K - $300K/yr

Company Overview Reflex Robotics is building affordable ($10k) wheeled humanoid robots to automate ... You've controlled the motion of real-world hardware before, not just in simulation-e.g., nanometer ...

Bedrock Robotics

Cloud - Software Engineer

New York, NY · On-site

$65.75 - $85.25/hr

... simulations can't touch. If you're ready to apply cutting-edge technology to solve meaningful ... Partner closely with a full stack team (from Frontend, to ML and Robotics) to design technical ...

Bedrock Robotics

Frontend Engineer

New York, NY · On-site

... simulations can't touch. If you're ready to apply cutting-edge technology to solve meaningful ... About The Role We are building highly complex interfaces for the bleeding edge of robotics and ...

previous pagenext page

Showing results 21-40

All JobsRobotics Simulation JobsRobotics Simulation Jobs in New York

Robotics Simulation information

What is robotics simulation?

Robotics simulation is the use of computer software to model and test the behavior of robots in a virtual environment. This allows engineers and researchers to design, program, and optimize robots without needing physical prototypes, saving time and resources. Simulations can replicate real-world conditions, enabling the analysis of robot movement, sensor data, and task performance before implementation. Robotics simulation is commonly used in developing autonomous systems, industrial automation, and research applications.

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

To thrive as a Robotics Simulation Engineer, you need a strong background in robotics, computer science, and mathematics, often supported by a relevant degree such as electrical engineering or mechanical engineering. Familiarity with simulation tools like Gazebo, ROS (Robot Operating System), MATLAB/Simulink, and programming languages such as Python or C++ is essential. Problem-solving, attention to detail, and effective teamwork are key soft skills that help in designing and refining complex simulation models. These abilities are crucial for creating accurate simulations that accelerate development, testing, and deployment of robotic systems.

What is the difference between Robotics Simulation vs Robotics Software Engineer?

AspectRobotics SimulationRobotics Software Engineer
Required CredentialsBachelor's in Robotics, Computer Science, or related; experience with simulation toolsBachelor's or higher in Computer Science, Robotics, or related; programming skills
Work EnvironmentResearch labs, simulation platforms, development teamsSoftware development teams, robotics companies, tech firms
Industry UsageTesting algorithms, virtual prototyping, system validationDeveloping robot control software, algorithms, and integration
Common Search/ComparisonYesYes

Robotics Simulation focuses on creating virtual environments to test and validate robotic systems, while Robotics Software Engineers develop the actual software that controls robots. Both roles often collaborate but serve different stages of robotics development, with simulation emphasizing testing and validation, and software engineering focusing on implementation and coding.

What are some typical challenges faced when working in robotics simulation, and how can they be addressed?

Professionals in robotics simulation often encounter challenges such as accurately modeling real-world physics, ensuring simulation fidelity, and integrating with hardware or software systems. Addressing these requires a strong understanding of both robotics and simulation tools, as well as effective collaboration with engineers, software developers, and testers. Staying updated with advancements in simulation platforms and maintaining clear documentation are key strategies to overcome these challenges and ensure the simulations provide meaningful insights for development and testing.
What are popular job titles related to Robotics Simulation jobs in New York? For Robotics Simulation jobs in New York, the most frequently searched job titles are:
What job categories do people searching Robotics Simulation jobs in New York look for? The top searched job categories for Robotics Simulation jobs in New York are:
What cities in New York are hiring for Robotics Simulation jobs? Cities in New York with the most Robotics Simulation job openings:
Robotics Simulation jobs near you
Infographic showing various Robotics Simulation job openings in New York as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution.

Simulation Infrastructure Engineer

Bedrock Robotics

New York, NY • On-site

$117K - $154K/yr

Full-time

Re-posted 11 days ago

Job description

Join the team bringing advanced autonomy to the built world
At Bedrock, we're moving AI out of the lab and into the real world. Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites. Backed by $350M in funding, we're working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage.
This is where algorithms meet steel-toed boots. You'll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team-we'd love to have you join us.
The Role
You'll be the Cloud team's point person for simulation. Your job is to integrate our simulators into the rest of Bedrock's Cloud platform and to make sure simulation engineers and the ML engineers who depend on sim are as efficient as they can possibly be. You'll sit on the Cloud Platform team, work closely with the rest of Cloud, and partner daily with the Sim team, who own the simulators themselves, scenarios, and evaluation.
This is a high leverage generalist platform role-you'll be building the distributed systems, deployment plumbing, data pipelines, and internal tooling that turn each simulator into a capability the whole company can use.
Also, you get to drive 100,000 lb excavators.
What you'll do
  • Integrate simulators into the Cloud platform. Own the seam between our simulators and the rest of Cloud: how a simulator job gets deployed, how its physics and rendering components are packaged and plumbed together, how it's instrumented, and how it runs efficiently at scale.
  • Run sim reliably in automation. Make it trivially easy to kick off simulation workflows as part of CI, and keep the nightly sim workflows that gate our releases reliable and fast.
  • Be Cloud's point person for simulation engineers. Translate the Sim team's needs into platform work, push composable primitives back into the rest of Cloud, and obsess over removing friction from the sim workflow so engineers can iterate as fast as possible.
  • Prepare for what's next. Sim at Bedrock is evolving quickly. You'll help us evaluate options and stand up the infrastructure for whichever directions we commit to.

What we're looking for
  • 6+ years of professional software engineering experience with demonstrated ownership of production systems.
  • Strong Python skills and comfort with API design, async patterns, and cloud-native development.
  • Solid cloud infrastructure background. You're comfortable in AWS, understand distributed systems concepts (orchestration, state management, retries, spot/preemptible compute), and can reason about cost and performance trade-offs.
  • Experience with deployment and service integration. gRPC, container orchestration, instrumentation. You've owned the operational glue between systems before.
  • Generalist platform sensibility. Comfortable working across the stack: backend services, data pipelines, CI systems, and internal UIs. You care about how the whole loop feels for the engineers using it.
  • Strong written communication and a bias toward small, well-instrumented systems over heavy frameworks.

Preferred Qualifications
  • Experience with Ray or comparable distributed compute frameworks (Spark, Kubernetes-native job systems, etc.).
  • Experience operating on large scale data systems - by amount of PB, flops or number of vCPUs.
  • Experience in an early-stage startup environment designing, building, and launching new platform capabilities from scratch.

Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway! We'd love to consider you.

Apply