Embedded Test Engineer

About the Role
We are looking for an R&D QA Engineer to own the integration and testing of high-performance measurement and data-handling software. You will work embedded in an R&D team, partnering with developers to design, automate, and execute functional and non-functional testing of C/C++ and .NET APIs and the applications that consume them, on systems that move data at high speed across FPGA, network, storage, and GPU paths.
This is a hands-on engineering role — you will spend most of your time exercising low-level APIs, building automation, and validating data integrity and throughput on real hardware-in-the-loop setups.
Responsibilities
Perform functional and non-functional testing (performance, throughput, load, stress, reliability, stability, and resource/memory usage) on C/C++ APIs and consuming applications.
Develop test suites and automation against C/C++ APIs; build and maintain GTest-based suites.
Design test strategies and cases from API contracts and acceptance criteria (positive, negative, boundary, edge).
Set up and manage test environments across Linux and Windows (including Embedded Linux), with Conan package installation/build workflows.
Investigate failures to root cause, file precise reproducible defects, and verify fixes.
Track and report quality metrics, drive continuous quality improvements and minimize production escapes

Required Skills & Experience
Bachelor's/Master's in CS or Electronics & Communications Engineering (or closely related).
3–5 years in software QA/test engineering.
C/C++ API testing and application/automation development.
Hands-on with GTest (Google Test), PyTest, NUnit, or similar testing frameworks.
Basic networking understanding (TCP/IP, sockets, protocols).
Familiarity with modern C++ build/package management tools (Conan, CMake, etc.)
Comfortable working across Linux and Windows.
Solid test design (equivalence partitioning, boundary analysis, negative/edge cases) and strong debugging/root-cause skills.
Clear written and verbal communication.

Good to Have
Basic FPGA understanding.
Experience testing high-throughput data transfer systems is preferred. Knowledge of DMA/RDMA concepts is a plus.
Storage technologies and GPU exposure.
Embedded Linux experience.
Understanding of IQ waveform data handling — capture, formats, basic signal/measurement concepts.
Broader high-speed communication interfaces/standards knowledge.
CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions) and Git.
Test management/reporting tooling (Zephyr, Jira/Confluence).
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