
Parallel Domain is a synthetic data generation platform founded in 2017 with offices in San Francisco Bay Area and Vancouver. It provides a high-fidelity synthetic data engine that generates rich,…

Parallel Domain is a synthetic data generation platform founded in 2017 with offices in San Francisco Bay Area and Vancouver. It provides a high-fidelity synthetic data engine that generates rich,…
Founded: 2017
Headquarters: San Francisco, CA
Product: PD Replica — high-fidelity reconstructive simulation and synthetic sensor data
Customers / Industries: Autonomy programs across automotive, drones, robotics, agriculture, warehouse, security
Recent funding: Series B announced Nov 16, 2022 (~$30M)
Data scarcity, cost, bias, and scalability challenges in training and validating machine perception for autonomous systems.
2017
Software Development
Seed round reported in funding history
Series A reported in funding history
30000000
Series B announced Nov 16, 2022 (~$30M)
“March Capital led Series B; participation from Costanoa Ventures, Foundry Group, Calibrate Ventures, Ubiquity Ventures, Toyota Ventures, RRE Ventures, ARVO Venture Capital”
Parallel Domain's mission is to enable our partners to bring autonomy and physical AI to the world faster, safer, and with higher quality. We believe physical AI and autonomy have the power to create a safer and more productive world, and we are building the simulation infrastructure to make that future real. Our high-fidelity, fully controllable, software-in-the-loop sensor simulation products give the leaders in autonomous driving, drone delivery, eVTOL, robotics, and beyond the realism, accuracy, and confidence they need to test and validate their systems at scale. In autonomy and physical AI, there is no margin for error.
The Role We're looking for an OEM Enterprise Sales Director to own and grow relationships with major automotive OEMs — Ford, GM, Stellantis, and others. This is a quota-carrying individual contributor role for someone who knows how to navigate the complexity of large automotive organizations: how decisions get made, who the real stakeholders are, and how to move from a proof of concept to a multi-million dollar production contract.
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You don't need to be an engineer. You need to understand the problem we solve well enough to open the right doors and earn the right conversations — our Technical Engagement Managers handle the deep technical discussions.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.