Senior Software Test Development Engineer
NVIDIA
Senior Software Test Development Engineer
NVIDIA
Designs the chips and software that power AI
We are looking for a skilled Software Developer with strong hardware knowledge to join our diverse team passionate about developing low-level software and test infrastructure for NVIDIA's networking and Interconnect products. As a technical focal point, you will work at the intersection of hardware and software, taking ownership of driver development, hardware bring-up, and test system architecture. You will be instrumental in driving innovation by developing low-level software that directly controls hardware, debugging sophisticated hardware-software interactions, and creating robust testing solutions. If you're passionate about code development, automation, innovation, reading schematics, debugging hardware with software tools, and becoming a key technical contributor, we'd love to have you on board!
What You'll Be Doing:
Collaborate with multi-functional teams including hardware, electrical, thermal, and mechanical engineers to understand hardware specifications and develop corresponding test requirements.
Take the lead in debugging hardware-software integration issues using instruments, and software tools to pinpoint root causes.
Develop low-level drivers in C/C++ for hardware components and build DLL wrappers for integration with higher-level C# applications.
Review and interpret hardware schematics and datasheets to understand signal flows, timing requirements, and implement appropriate software control mechanisms.
Lead all aspects of hardware bring-up, validation, and deployment of test solutions to production environments, ensuring accurate integration.
What We Need to See:
Bachelor's or master's degree in electrical engineering, Computer Engineering, or Software Engineering with significant hardware/electronics coursework or hands-on experience.
5+ years of hands-on experience in hardware-software integration, low-level driver development, or firmware development with proven ability to lead technical projects.
Strong proficiency in one or more programming languages such as Python, Java, C#, with additional experience in C/C++ for low-level programming.
Demonstrated ability to read and interpret electrical schematics, block diagrams, and hardware datasheets.
Experience with hardware debugging tools such as oscilloscopes, logic analyzers, JTAG debuggers, or similar instruments.
Excellent problem-solving skills in developing software solutions for sophisticated hardware-software interactions. Ability to collaborate with hardware teams, demonstrating deep technical ownership of hardware-software integration projects.
Ways To Stand Out from the Crowd:
Hands-on experience with PCIe, I2C, SPI, UART, or other hardware communication protocols. Experience developing device drivers for Windows or Linux environments.
Background in embedded systems, microcontrollers, DSPs, FPGAs, or custom ASIC integration. Experience wrapping native C/C++ libraries into managed DLLs for .NET/C# applications.
Knowledge of hardware validation methodologies and experience with automated hardware test equipment. Previous work in networking hardware, high-speed interconnects, or semiconductor validation environments.
Strong ability to bridge communication between hardware and software teams, translating hardware requirements into software solutions.
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. Come build the future with us! Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family
NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
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