Original job description
About the role
Applied Intuition’s Tools for Vehicle Intelligence (including the Applied Development Platform, also known as ADP) is the end-to-end platform for building and validating intelligent systems at petabyte scale. As a Solution Engineer on the Tooling pillar, you will work with ADAS and AD engineering teams at OEMs and Tier 1s to architect and build solutions with Applied’s simulation, data management, and CI/CD validation toolchain.
The platform closes the loop between real-world data collection, scenario extraction, simulation, model training, and evaluation; giving automotive engineering teams the infrastructure to compound performance improvements over time.
At Applied Intuition, you will:
Serve as the primary technical point of contact for customers evaluating Applied Intuition’s simulation and data management tooling
Lead demonstrations, proof-of-concept deployments, and integration workshops for the full toolchain
Support customers in integrating Applied’s platform into their ADAS/AD CI/CD pipelines (SIL, HIL, VIL stages)
Guide customers through the design of closed-loop data flywheels: data collection strategy, curation, labeling, scenario extraction, simulation replay, and evaluation
Help customers configure scenario-based testing and automated pass/fail metrics for their validation programs
Translate customer feedback into actionable product insights for the Applied engineering team
Manage technical workstreams and milestones across multi-stakeholder customer programs
We're looking for someone who has:
3+ years of experience in ADAS/AD development, validation, or simulation at an OEM, Tier 1, or technology company
Hands-on experience with software testing methodologies (unit, SIL, HIL, VIL) for automotive applications
Familiarity with CI/CD pipelines in an automotive or embedded software context
Understanding of sensor types used in ADAS (camera, lidar, radar, ultrasonic) and their data characteristics
Experience with data management pipelines: ingestion, curation, labeling, or scenario extraction
Degree in computer science, electrical engineering, robotics, or related field
Intermediate Programming experience in Python and/or C++
Strong written and verbal communication skills in English; German and/or additional European language is a significant plus
Nice to have:
Customer-facing experience and strong communication and presentation skills
Experience with a simulation platform (Applied Intuition, CARLA, IPG CarMaker, dSPACE SIMPHERA, VIRES VTD, or similar)
Familiarity with dSPACE, Vector, or NI toolchains for HIL/SIL test automation
Knowledge of ISO 8800, ISO 26262, ISO 21448, or ASPICE
Experience with ML/AI pipelines for model training or perception system evaluation
Background in fleet data operations, OTA, or post-SOP data-driven improvement loops
Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.
Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.
Please reference the job posting’s subtitle for where this position will be located.
