We are on a mission to bridge the gap between simulation and the real world, ensuring autonomous systems perform flawlessly when it counts most. As the trusted first line of defense for innovators in autonomous driving, drone delivery, eVTOL, robotics, and beyond, we empower industry leaders to rigorously test and validate their systems at scale. Our high-fidelity, fully controllable, software-in-the-loop sensor simulation API provides unparalleled realism, accuracy, and…
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Programmatically test and validate autonomous systems at scale. High-fidelity sensor simulation in digital twins.
Full company description
We are on a mission to bridge the gap between simulation and the real world, ensuring autonomous systems perform flawlessly when it counts most. As the trusted first line of defense for innovators in autonomous driving, drone delivery, eVTOL, robotics, and beyond, we empower industry leaders to rigorously test and validate their systems at scale. Our high-fidelity, fully controllable, software-in-the-loop sensor simulation API provides unparalleled realism, accuracy, and confidence. In autonomy, there's simply no margin for error.
LinkedIn followers
7,306
People associated on LinkedIn
51
Reported office locations
44 Montgomery St, San Francisco, California 94104, US
1290 Homer St, Vancouver, British Columbia V6B 2Y5, CA
Roonstraße 23a, Karlsruhe, Baden-Württemberg 76137, DE
Business categories
Simulation
Information Technology
Software
3D Technology
Big Data
Computer Vision
Autonomous Vehicles
Machine Learning
Other recorded names
Parallel Domain
Specialties
machine learning
AI
artificial intelligence
autonomous systems
autonomous vehicles
self-driving cars
delivery drones
computer vision
simulation
API
testing AI
validating AI
testing and validation
regression testing
sensor simulation
software-in-the-loop simulation
digital twins
eVTOL
machine perception
SIL
and pattern recognition
Profile identifies a recruitment agency
No
Reported total investment
43,940,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
5+ YOECandidates need 5+ years in SRE, DevOps or infrastructure engineering, with hands-on work on production systems across regions. Strong skills in Terraform, AWS, Kubernetes, CI/CD, networking and scripting in Python or Bash are required, and experience with Windows workloads is a plus.
Candidates need several years delivering complex backend features, solid RESTful API design experience, and hands-on Python web framework and relational database skills. Production service ownership and containerized deployment experience on Linux are also required.
3+ YOECandidates need 3+ years of product management experience, ideally with platform or infrastructure APIs and B2B enterprise products. They should know machine learning, simulation and Python, and be comfortable with ambiguity and travel to customer sites.
3+ YOECandidates need 3+ years of software or field engineering experience on platform or infrastructure products, ideally with APIs, and B2B experience. They should know machine learning and simulation, be fluent in Python and C++, and be willing to travel to customer sites.