Continuum Recruiting is helping our client find a Simulation Engineer to join its founding team. This role is for a high-agency builder excited by the 0-to-1 grind of an intense early-stage startup. You’ll take ambiguous real-world systems and turn them into validated simulations customers can trust, directly enabling new customer onboarding and expansion of the platform.
What You’ll Do:
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Work with Fortune 500 companies and Magnificent Seven technology companies on systems that can make autonomous deployment safer and faster.
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Own customer-system onboarding end-to-end, translating physical robots, sensors, and environments into our client’s simulation platform from the earliest stage of the company.
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Build and calibrate high-fidelity simulation models for sensing modalities including cameras, lidar, and radar from first principles.
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Work hands-on and onsite with customers to tune and calibrate simulations, taking them from roughly 80% to near-100% accuracy.
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Define and execute test plans that quantitatively validate simulation fidelity against real-world data.
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Build Python tooling and automation that makes calibration, testing, and onboarding repeatable and scalable.
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Work in an intense founding environment where individual engineering work directly impacts customer success and company growth.
Requirements
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5+ years of experience building and calibrating robotics or hardware simulation end-to-end.
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Hands-on simulation experience with sensors such as cameras, lidar, or radar.
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Experience with NVIDIA Isaac Sim/Lab; other simulators such as MuJoCo or Gazebo may provide a ramp-up path.
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Strong Python skills for data analysis, testing, automation, and tooling.
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Deep end-to-end ownership of at least one sensor or system simulation rather than surface-level simulator use.
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Bachelor’s degree in Mechanical Engineering, Robotics, Electrical Engineering, Mechatronics, or similar; a 3.7-4.0 GPA is preferred.
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Personable, strong communicator who can work effectively with customers.
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Broad builder mindset and willingness to work across domains.
Nice to have:
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Experience with non-visible sensing systems such as infrared/thermal, UV, radar, or lidar.