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Parallel DomainPD

Technical Account Director, Automotive

Parallel Domain is transforming the development of autonomous systems through its innovative synthetic data platform, enhancing safety and AI performance.

Parallel Domain

Employee count: 51-200

United States only

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We are hiring a Technical Account Director to own highly strategic relationships with OEM customers with multiple entities in their corporate families.

Requirements

  • Engineering background
  • BS or MS in computer science, electrical engineering, mechanical engineering, robotics, or a related field
  • 8+ years of experience, with meaningful time owning complex enterprise technical accounts
  • Technical fluency in simulation, perception, sensor systems, ADAS tooling, ML infrastructure, or autonomous systems
  • Track record of managing multi-million dollar enterprise relationships at the depth this role requires
  • Deep understanding of how large, matrixed organizations make decisions
  • Program management instinct
  • Strong commercial judgment
  • Calm under pressure

Benefits

  • Generous Paid Time Off
  • 401k Matching
  • Retirement Plan
  • Visa Sponsorship
  • Four Day Work Week
  • Generous Parental Leave
  • Tuition Reimbursement
  • Relocation Assistance

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Location requirements

Hiring timezones

United States +/- 0 hours

About Parallel Domain

Learn more about Parallel Domain and their company culture.

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Parallel Domain is at the forefront of revolutionizing machine perception through synthetic data generation. Established in 2017, our company is rooted in the San Francisco Bay Area. We have rapidly assembled a diverse team of experts from around the globe, specializing in autonomous systems, graphics, simulation, and software development. Our innovative platform offers high-fidelity sensor simulation, enabling our clients to test and train AI models across various environments and conditions effectively.

The core of our technology, PD Replica, enables users to create digital twins from real-world environments, offering fully annotated and simulation-ready settings. This capability not only closes the sim-to-real gap but allows for the exploration of machine learning ideas with unparalleled realism and scalability. By transforming the development of AI systems, we aim to contribute to safer autonomous solutions that enhance public safety.

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Parallel Domain

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