Demo

SDET Engineer (Automotive / AUTOSAR )

American IT Systems
Mountain View, AR Full Time
POSTED ON 8/5/2025
AVAILABLE BEFORE 10/5/2025

Job Details

Job Summary:

We are seeking a highly skilled Software Development Engineer in Test (SDET) with a strong background in High Performance Computing (HPC) and Automotive Embedded Software. The ideal candidate will focus on designing and implementing unit tests, validating complex networking stacks and protocol layers, and contributing to the quality and reliability of next-generation automotive compute platforms.

  • Develop and maintain automated unit test frameworks for HPC-based automotive platforms.
  • Work closely with software developers to ensure test coverage for critical modules, especially in communication stacks (e.g., Ethernet, TCP/IP, SOME/IP, DDS, etc.).
  • Analyze and validate behavior of protocol stack implementations in embedded and real-time environments.
  • Implement test strategies aligned with ASPICE and ISO 26262 quality and safety standards.
  • Simulate and emulate high-throughput data flows to test performance and reliability under HPC conditions.
  • Debug failures, perform root-cause analysis, and log defects with clear reproduction steps.
  • Collaborate with system architects and platform teams to ensure scalability and integration readiness.
  • Contribute to Continuous Integration / Continuous Testing pipelines (e.g., Jenkins, GitLab CI/CD).
  • Bachelor s or Master s degree in Computer Science, Electrical/Electronics, or related field.
  • 3 6 years of hands-on experience as an SDET or similar role in automotive or embedded software development.
  • Strong programming/scripting skills in C, C , Python, or Shell.
  • Solid experience in unit testing frameworks (e.g., Google Test, CppUTest, VectorCAST, etc.).
  • Experience working with automotive network protocols (e.g., Ethernet, TCP/IP, UDP, SOME/IP, CAN, FlexRay).
  • Exposure to HPC environments: multicore systems, SoCs, parallel processing, memory profiling.
  • Familiarity with AUTOSAR (Classic and/or Adaptive) stack and its communication layers.
  • Proficiency in using debuggers, bus analyzers, trace tools, and network sniffers (e.g., Wireshark, CANoe).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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