System Integration and Validation Engineer
Join Applied Intuition as a System Integration and Validation Engineer to build and configure HiL environments for vehicle simulation.
Posted by employer 2 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 19 hours ago
Skills & Technologies
Requirements
- Experience
- 2+ years
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In this role, the System Integration and Validation Engineer at Applied Intuition focuses on building and configuring Hardware-in-the-Loop (HiL) environments for vehicle simulation projects. Key skills include proficiency in MATLAB/Simulink, Python for automation, and experience with automotive network protocols like CAN and Ethernet. This position is ideal for someone with at least two years of experience in automotive systems validation and a proactive mindset, capable of navigating ambiguity and driving projects independently. The company emphasizes a collaborative approach, working closely with OEM partners to ensure robust system integration.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Applied Intuition's careers page October 27, 2026.
- Python appears in 17.8% of 3265 comparable mid other roles in United States; automotive Ethernet appears in 0.2% of 3265 comparable mid other roles in United States.
Quick facts
- Is the System Integration and Validation Engineer role remote?
- No — this is an on-site role in Stuttgart.
- How much experience is required?
- At least 2 years of relevant experience for this System Integration and Validation Engineer role.
- Where is the role based?
- Applied Intuition is hiring for this position in Stuttgart.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: CAN, Flexray, LIN, MATLAB, Python, Simulink.
- What seniority level is this role?
- Applied Intuition targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this System Integration and Validation Engineer role at Applied Intuition.
From the original posting
About the Role
At Applied Intuition, you will sit directly at the intersection of System Integration and Validation. Rather than just running pre-written scripts, you will build and configure Hardware-in-the-Loop (HiL) environments from scratch. We need a systemic thinker who thrives in ambiguity—someone who can take incomplete requirements, bridge functional gaps independently, and connect dots across the entire vehicle architecture while working closely with OEM partners.
What You’ll Do
Assemble, configure, and initialize dSPACE and Vector HiL test benches, lab cars, and test environments from the ground up for new projects.
Build and integrate complex vehicle simulation models in MATLAB/Simulink and link them directly with HiL hardware systems.
Analyze high-level system requirements, bridge functional gaps, and design complete validation strategies—even when documentation is minimal or incomplete.
Develop robust automation scripts in Python to execute tests across simulated, bench, and prototype vehicle environments.
Configure vehicle communication networks and assets (ARXML, K-Matrix) across CAN, Automotive Ethernet, FlexRay, and LIN protocols.
Perform deep-dive failure analysis when tests fail, collaborating with core engineering teams and OEM partners to troubleshoot and resolve system-level bugs.
What We’re Looking For
2+ years in automotive systems validation, embedded systems, or hardware integration with broad exposure across multiple vehicle domains (e.g., ADAS, Powertrain, Body, Infotainment) rather than a single-domain focus.
Mindset & Ownership: Self-starter with a "can-do" attitude, high energy, and the independence to drive projects forward without waiting for perfect requirements or step-by-step instructions.
Hands-on experience building/configuring dSPACE (ControlDesk/ConfigurationDesk) or Vector hardware and software (CANoe, CANape).
Proficiency in Python for test automation and MATLAB/Simulink for vehicle model development.
Practical knowledge of automotive network protocols (CAN, Automotive Ethernet, LIN, FlexRay) and network files (ARXML, K-Matrix).
Nice to Have:
Familiarity with AI / LLM-assisted coding workflows to optimize test generation and scripting.
Prototype vehicle bring-up and debugging experience in lab or track environments.
Standard company text repeated across Applied Intuition's postings is omitted here.