Robot Simulation Engineer

Job Description

Job Description

The Company

Tutor Intelligence is building the technology and processes to let robots go where they’ve never gone before: the average American factory and warehouse. We understand that general-purpose and generally intelligent robots are going to be built in our lifetimes, and we’re not content to sit on the sidelines.

Founded by MIT alumni and backed with over $40M in funding by leading investors in AI and robotics, Tutor combines human and artificial intelligence to build something greater than the sum of its parts — a Tutor Intelligence. As an AI software company that deploys its inventions directly into the facilities that need them, every line of code, process change, and decision at Tutor has a direct impact on the physical economy. We’re seeking thinkers, builders, and operators who want to help deliver the future of automation.

The Role

Simulation Engineer (Robotics / Isaac Sim)

As a Simulation Engineer at Tutor Intelligence, you will build and own simulation tooling that supports multiple real-world robot programs. Your primary responsibility will be designing, extending, and maintaining simulation environments in NVIDIA Isaac Sim that enable rapid development, testing, and validation of robot behaviors before they hit the floor.

This role sits at the intersection of robotics, software infrastructure, and product development. You’ll work closely with robotics engineers, autonomy teams, and operators to ensure simulation is not an afterthought, but a first-class part of how Tutor designs, tests, and ships robotic systems. You’ll also have the autonomy to spin up and manage the infrastructure needed to run simulations at scale.

This is a hands-on, builder role for someone who has already shipped real simulation systems and wants ownership over both the tooling and the underlying systems that support it.

What You’ll Do

Design, build, and maintain simulation environments in NVIDIA Isaac Sim to support multiple robot platforms and use cases

Develop reusable simulation tooling, assets, and workflows that accelerate robotics development across teams

Model robots, sensors, environments, and task dynamics with sufficient fidelity to inform real-world deployment

Integrate simulation with autonomy stacks, perception systems, and testing pipelines

Own simulation infrastructure end-to-end, including:

Compute, storage, and orchestration for running simulations

CI / automated testing hooks for simulation-based validation

Data logging, replay, and analysis pipelines

Collaborate closely with robotics, autonomy, and operations teams to ensure simulation reflects real-world constraints and failure modes

Debug simulation/real-world mismatches and iterate quickly to close the gap

Utilize real-world data to generic digital twin layouts (real-to-sim) for testing and development

Establish best practices for simulation usage, versioning, and validation as the company scales

Who You Are

2+ years of hands-on experience with NVIDIA Isaac Sim in a production or research setting

Strong proficiency in Python and familiarity with robotics software stacks

Solid understanding of robotics fundamentals (kinematics, sensors, control, simulation fidelity tradeoffs)

Experience building or operating full-stack systems , including:

Spinning up compute (cloud or on-prem)

Managing services, containers, or job orchestration

Standing up basic data pipelines and tooling without heavy hand-holding

Comfortable owning ambiguous problems and driving solutions from concept to working system

Able to work closely with both software-focused and hardware-focused teammates

Bias toward practical, shippable solutions over academic perfection

Nice to Haves

Experience simulating mobile manipulators, industrial robots, or warehouse automation systems

Experience with synthetic data generation for perception or autonomy

Prior work supporting multiple robot programs from a shared simulation platform

Startup or early-stage company experience with broad ownership and limited constraints

Experience operating GPU-backed workloads or simulation at scale

Culture

We believe something special happens when talented, motivated people work together with respect and low ego. At Tutor, every team member is empowered to have real impact and is trusted to take ownership of meaningful problems. We value technical excellence, intellectual honesty, collaboration, and thoughtful urgency.

Compensation & Benefits

Competitive salary and meaningful equity

Fully employer-covered health and dental insurance

401(k)

Unlimited PTO

Regular in-office meals and team events

A collaborative, low-ego environment where people are trusted to do their best work

Tutor Intelligence is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to building a diverse and inclusive team.