Validation Engineer
6 - 10 years
Sunnyvale, CA
Contract
Hybrid
1 month ago
About the role
Few Details about the role :
We need support for system-level validation (SWE.6, SYS.4) using HIL platforms like dSpace and Vector tools (CANoe/CANalyzer). Experience with Autosar stack integration and classic Autosar tooling is also a priority.
What’s this team's overall project:
Team is supporting embedded automotive validation activities focused on Autosar-based ECU systems, hardware-in-the-loop validation, automation, and system-level integration testing. The work supports production-oriented automotive embedded platforms and validation environments.
What will they be working on:ECU/system-level validation
Hardware-in-the-loop (HiL) testing
Embedded automotive validation automation
Autosar stack validation and integration
Validation of ECU/device driver behavior
CAN/network communication validation
Test automation scripting
Working within simulation environments and partial-system hardware setups
Extending and executing automated validation frameworks
Integration/system-level testing activities
What does their day to day look like:Executing embedded validation test cases
Performing HiL and simulation-based testing
Writing/modifying Python automation scripts
Working with Vector or dSpace environments
CAN/CANoe/CANalyzer-based validation
Validating ECU interactions and embedded behaviors
Debugging communication/signaling issues
Reviewing requirements and validating expected system behavior
Supporting automation-heavy validation workflows
Collaborating closely with embedded developers and validation engineers onsite
What types of vehicles will they be working on:Vehicle agnostic. Applied Intuition supports automotive simulation and embedded validation platforms rather than traditional OEM end-to-end production vehicle environments. Engineers may work on partial systems, ECUs, simulation environments, and embedded automotive platforms.
Must Have Skills:
Automotive embedded validation experience
HiL (Hardware-in-the-Loop) testing experience
Embedded systems/ECU validation
Python scripting/automation experience
CAN/CAN bus understanding
Experience with Vector tools (CANoe/CANalyzer) OR dSpace
Automotive industry background
Validation engineering mindset
Experience working with partial systems/embedded hardware
Comfortable onsite 5 days/week
Ability to logically troubleshoot/debug systems
Desired Skills:
Autosar / Classic Autosar experience
ECU driver/device driver exposure
SiL (Software-in-the-Loop) testing
SWE.6 / SYS.4 exposure
Embedded C/C++ background
ECU integration testing
Automation framework development/extension
Simulation environment experience
Tier-1 supplier background
Embedded software development exposure
Strong debugging/troubleshooting mindset
Startup or fast-paced engineering environment experience
Target Candidate Backgrounds:Embedded Validation Engineer
ECU Validation Engineer
HiL Validation Engineer
Embedded Test Automation Engineer
Integration & Verification Engineer
Autosar Validation Engineer
ECU Integration Engineer
System Validation Engineer
We need support for system-level validation (SWE.6, SYS.4) using HIL platforms like dSpace and Vector tools (CANoe/CANalyzer). Experience with Autosar stack integration and classic Autosar tooling is also a priority.
What’s this team's overall project:
Team is supporting embedded automotive validation activities focused on Autosar-based ECU systems, hardware-in-the-loop validation, automation, and system-level integration testing. The work supports production-oriented automotive embedded platforms and validation environments.
What will they be working on:ECU/system-level validation
Hardware-in-the-loop (HiL) testing
Embedded automotive validation automation
Autosar stack validation and integration
Validation of ECU/device driver behavior
CAN/network communication validation
Test automation scripting
Working within simulation environments and partial-system hardware setups
Extending and executing automated validation frameworks
Integration/system-level testing activities
What does their day to day look like:Executing embedded validation test cases
Performing HiL and simulation-based testing
Writing/modifying Python automation scripts
Working with Vector or dSpace environments
CAN/CANoe/CANalyzer-based validation
Validating ECU interactions and embedded behaviors
Debugging communication/signaling issues
Reviewing requirements and validating expected system behavior
Supporting automation-heavy validation workflows
Collaborating closely with embedded developers and validation engineers onsite
What types of vehicles will they be working on:Vehicle agnostic. Applied Intuition supports automotive simulation and embedded validation platforms rather than traditional OEM end-to-end production vehicle environments. Engineers may work on partial systems, ECUs, simulation environments, and embedded automotive platforms.
Must Have Skills:
Automotive embedded validation experience
HiL (Hardware-in-the-Loop) testing experience
Embedded systems/ECU validation
Python scripting/automation experience
CAN/CAN bus understanding
Experience with Vector tools (CANoe/CANalyzer) OR dSpace
Automotive industry background
Validation engineering mindset
Experience working with partial systems/embedded hardware
Comfortable onsite 5 days/week
Ability to logically troubleshoot/debug systems
Desired Skills:
Autosar / Classic Autosar experience
ECU driver/device driver exposure
SiL (Software-in-the-Loop) testing
SWE.6 / SYS.4 exposure
Embedded C/C++ background
ECU integration testing
Automation framework development/extension
Simulation environment experience
Tier-1 supplier background
Embedded software development exposure
Strong debugging/troubleshooting mindset
Startup or fast-paced engineering environment experience
Target Candidate Backgrounds:Embedded Validation Engineer
ECU Validation Engineer
HiL Validation Engineer
Embedded Test Automation Engineer
Integration & Verification Engineer
Autosar Validation Engineer
ECU Integration Engineer
System Validation Engineer
Skills
Information TechnologyIT System Testing and Evaluation