Simulation Lead Engineer

About the role

At Gravis, we operate at the intersection of hardware, software, and real-world deployment. Our Rooftop Autonomous Control Kit (RACK) integrates sensing, compute, communication, and networking into a manufacturer-agnostic solution deployable across a wide range of construction machines. As the Gravis Simulation Lead Engineer, you will own the entire simulation landscape at Gravis. You'll define the architecture, implement it, set the strategy, and build the infrastructure that powers simulation-based software testing, automated regression testing, ML policy training, and synthetic data generation across our Autonomy, Perception, and Platform teams. This is a high-impact role at the intersection of all our deep technical disciplines. We expect this role to quickly grow into a technical team lead position. Gravis is an equal opportunity employer. We are committed to inclusion and diversity, and do not discriminate based upon race, colour, ancestry, national origin, religion, sex, sexual orientation, age, gender identity, gender expression, disability, veteran status, or other legally protected characteristics. All qualified people are highly encouraged to apply.

Requirements

• Bachelor's or Master's in Computer Science, Robotics, or a closely related field
• 5+ years of experience in robotics simulation or a related field, or results that make years of experience irrelevant
• Hands-on experience with GPU-accelerated simulation software
• Strong software engineering skills in Python. We expect production-quality code
• Experience integrating simulation into CI pipelines and automated testing frameworks
• Excellent communication skills in English
• Experience hiring or technically leading engineers, or willingness to do so

Additional Information

Gravis Robotics is a startup turning heavy construction machines into intelligent and autonomous robots. Our unique combination of learning-based automation and augmented remote control enables a single operator to safely manage a fleet of earthmoving machines in a gamified environment. With over a decade of academic experience at the cutting edge of large-scale robotics, our team is rapidly translating this expertise into real-world deployments with industry leaders in a trillion-dollar market.

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