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Simulation Lab Jobs in Massachusetts (NOW HIRING)

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$12K

$73.8K

$132.7K

How much do simulation lab jobs pay per year?

As of May 31, 2026, the average yearly pay for simulation lab in Massachusetts is $73,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,100.00 and $86,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Simulation Lab Specialist, and why are they important?

To thrive as a Simulation Lab Specialist, you generally need a background in healthcare, education, or technology, along with experience in clinical simulation or lab management. Familiarity with simulation software, high-fidelity manikins, audiovisual equipment, and certifications like Certified Healthcare Simulation Educator (CHSE) are highly valued. Strong organizational skills, problem-solving abilities, and effective communication help facilitate realistic training scenarios and support learners. These skills are crucial for ensuring a safe, efficient, and impactful simulation environment that enhances clinical education.

What are typical responsibilities of a Simulation Lab Coordinator during a simulation session?

A Simulation Lab Coordinator is responsible for preparing the simulation environment, ensuring all equipment and technology function properly, and briefing participants on case objectives. During sessions, coordinators operate simulation mannequins, provide real-time scenario adjustments, and support instructors or facilitators in debriefing participants afterward. Collaboration with faculty, IT staff, and learners is essential to create a realistic and effective learning experience, making strong organizational and communication skills key to success in this role.

What is a Simulation Lab?

A Simulation Lab is a controlled environment designed to replicate real-world scenarios for educational, training, or research purposes. Often used in healthcare, engineering, and aviation, these labs allow students and professionals to practice skills, respond to emergencies, and make decisions without real-world risks. Simulation Labs use mannequins, computer models, or virtual reality to create lifelike situations, helping participants gain confidence and proficiency before entering actual settings.

What is the difference between Simulation Lab vs Simulation Technician?

AspectSimulation LabSimulation Technician
CredentialsTypically requires a degree in healthcare, nursing, or related fields; certifications varyOften requires technical certifications or training in simulation equipment
Work EnvironmentEducational institutions, healthcare training centers, hospitalsHealthcare facilities, training centers, educational institutions
Job FocusDesigning, managing, and maintaining simulation scenarios and equipmentOperating simulation equipment, troubleshooting, and supporting scenario execution

The main difference is that Simulation Labs focus on creating and managing simulation environments, while Simulation Technicians primarily operate and maintain simulation equipment. Both roles require technical skills and healthcare knowledge, but Simulation Labs have a broader scope involving scenario development and educational support.

What are popular job titles related to Simulation Lab jobs in Massachusetts? For Simulation Lab jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Simulation Lab jobs in Massachusetts look for? The top searched job categories for Simulation Lab jobs in Massachusetts are:
What cities in Massachusetts are hiring for Simulation Lab jobs? Cities in Massachusetts with the most Simulation Lab job openings:
Simulation Lab jobs near you
Infographic showing various Simulation Lab job openings in Massachusetts as of May 2026, with employment types broken down into 7% As Needed, 80% Full Time, and 13% Part Time. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $73,829 per year, or $35.5 per hour.

Senior Simulation Engineer I/II, Robotics

Lila Sciences

Cambridge, MA • On-site

$144K - $240K/yr

Full-time

Medical, Dental, Vision, Life

Posted 13 days ago

Job description

Your Impact at LILA
Lila Sciences is building autonomous science platforms that compress the cycle time of scientific discovery. The Next Gen Robotics team, within the Robotics department, is building the foundational simulation and robotic infrastructure that will power the AI Science Factory (AISF) at our 5AP facility. As we ramp toward first science later this year, simulation is becoming a load-bearing capability across both robotics production and orchestration.
We are looking for a Simulation Engineer to help establish the foundation of our simulation platform. You will be a core technical contributor shaping how we design, build, and scale virtual environments - from individual scene authoring to automated, headless data generation pipelines. You will work across the full simulation stack: scene infrastructure, physics and sensor fidelity, programmatic scene construction, and sim-to-real transfer workflows.
This is a high-impact, foundational role on a team being built from the ground up. You will have significant influence over tooling decisions, architectural patterns, and best practices, and your work will directly de-risk robotics development and accelerate throughput modeling for orchestration.
What You'll Be Building
  • Design and maintain modular, reusable simulation scene libraries using well-structured USD (Universal Scene Description), including proper use of references, payloads, variants, layers, and composition arcs.
  • Build Python-based tooling and automation around the Omniverse Kit API (omni.usd, omni.kit, omni.replicator) to enable programmatic scene construction, editing, and batch processing, including headless Isaac Sim workflows for large-scale automated simulation runs and synthetic data generation.
  • Contribute to internal simulation SDKs, APIs, and developer tools that allow other engineers to build on top of the simulation platform.
  • Prototype and evaluate new simulation techniques, including physics calibration, sensor modeling, environment generation, and GPU-accelerated motion planning (e.g., cuRobo) for inverse kinematics and collision-aware trajectory generation.
  • Design and implement domain randomization strategies (appearance, physics, lighting, sensor noise) using NVIDIA Replicator, and build tooling to evaluate and benchmark sim-to-real performance across configurations.
  • Collaborate with ML and robotics teams to characterize and reduce the sim-to-real gap, including physics parameter tuning, contact modeling, and sensor simulation fidelity.

What You'll Need to Succeed
  • 3-5 years of hands-on experience in simulation engineering, robotics software, or a closely related field.
  • Proficiency with NVIDIA Isaac Sim and the Omniverse Kit framework, including Python scripting via the Omniverse API (omni.usd, omni.kit.app, omni.physx).
  • Solid understanding of USD (Universal Scene Description), including authoring modular scenes with references, payloads, variants, sublayers, and composition arcs.
  • Familiarity with robot kinematics concepts (forward/inverse kinematics, motion planning, joint control) and implementing them programmatically in a simulation environment.
  • Strong Python skills; comfort writing clean, maintainable, production-quality code.
  • Experience with physics simulation concepts (rigid body dynamics, contact/friction modeling, articulations).

Bonus Points For
  • Experience running Isaac Sim in headless mode for automated, script-driven simulation workflows, and with distributed or cloud-based simulation workloads.
  • Experience with cuRobo or similar GPU-accelerated motion generation libraries (CUDA-based trajectory optimization, batched IK), and motion planning frameworks like MoveIt2 or OMPL.
  • Familiarity with NVIDIA Replicator for synthetic data generation and domain randomization, OmniGraph for node-based compute, and Isaac Lab for RL-based training environments.
  • Experience with ROS/ROS2 and sensor simulation (cameras, depth, LiDAR), including real-to-sim workflows (photogrammetry, NeRF, CAD asset pipelines).
  • C++ experience relevant to simulation extensions or performance-critical tooling.

Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
Expected Base Salary Range
$144,000-$240,000 USD
About LILA
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.
Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.
We're All In
Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
A Note to Agencies
Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science's internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

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