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We are hiring a Simulation Realism Engineer to drive our effort to make simulation quantitatively real for robotics research and product development. This role owns the strategy, tooling and operational practice that close sim→real gaps across physics, sensors and rendering. You will work cross-functionally with research, software, hardware and ops to discover the highest-impact realism gaps, define measurable realism metrics, and deliver engineering solutions — from tuning engine parameters and asset standards to integrating third-party engines and operating sims at scale. This is a hands-on engineering role that blends scientific rigor (measurement & validation) with pragmatic systems work (tooling, cloud ops, and CI/HIL pipelines).
Job Responsibility:
Define and operationalize realism metrics & protocols
Design experiments and automated tests to find specific areas of non-realism, quantify gaps, and track regressions over time
Fine-tune engine parameters (contacts, friction, mass/density, solver settings) and object models so simulated dynamics match measured reality
Evaluate, integrate, and — where necessary — extend 3rd-party physics, rendering, and sensor simulation engines
Lead vendor POCs and benchmark features to influence roadmaps
Create standards, guidelines, and interactive tools for authoring and validating asset physical/visual properties
Implement semi- or fully-automated pipelines to tune and optimize assets for target engines
Solve technical issues for running engines in the cloud (OS, drivers, GPU), parallelize simulations, and harden real-world-facing pipelines so sims can run reliably at scale
Own validation campaigns (teleop, HIL regression suites, metric computation) and partner with research to close the loop between simulation improvements and downstream model performance
Document and scale best practices
Produce ergonomic templates, docs, and standards so dozens of engineers and researchers can author realistic tasks and assets quickly
Comfortable reasoning about solvers and numerical stability
Hands-on experience with at least one or two production physics engines and sensor/render stacks (MuJoCo, PhysX, Isaac Sim, Newton, GPU renderers, or equivalent)
Know how to measure/interpret their failure modes
Enjoy plumbing every layer of the sim stack: CAD/asset import, collision/visual mesh tradeoffs, contact tuning, real-time loading, and rendering pipelines
Have led projects that bridge sim and robotics, such as teleoperation data collection, hardware-in-the-loop regression tests, or digital twin efforts
Experienced building robust tools and processes — CI for sims, asset validation pipelines, or distributed GPU workloads
Care about documentation and ergonomics that let others be productive
Can collaborate broadly: work directly with researchers to design experiments, with SWE/RE to ship tooling, and with vendors to run benchmarks and influence product roadmaps
What we offer:
Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible
Relocation support for eligible employees
Additional taxable fringe benefits, such as charitable donation matching and wellness stipends
Offers Equity
Performance-related bonus(es) for eligible employees