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).
