Hardware-Software Integration and Production Test Engineer

Posted 8 Days Ago
Be an Early Applicant
Yokneam, ISR
In-Office
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and maintain production test systems for optical transceivers and networking hardware. Write low-level drivers and hardware-control software, automate instrument control, perform hardware bring-up and debugging using lab instruments, and deploy scalable test solutions for production lines while collaborating across engineering teams.
Summary Generated by Built In

We are looking for a skilled Software Developer with strong hardware knowledge to join NVIDIA’s team developing production test solutions for optical transceivers and networking products. Our team builds the software and test infrastructure used on production lines to validate NVIDIA’s optical and interconnect products. The work combines instrument automation, low-level software development, and direct control of custom hardware. You will work with optical instruments such as power meters, variable optical attenuators, and laser sources, as well as custom test boards used to control and communicate with the device under test (DUT).

This is a hands-on, technically deep role that spans the entire development lifecycle—from hardware bring-up and debugging to validation, deployment, and production support. As a technical focal point, you will work at the intersection of hardware and software, collaborating with electrical, hardware, thermal, mechanical, and software engineers to deliver robust and scalable test solutions across multiple production lines and products.

What You’ll Be Doing:

  • Design and develop production test systems for optical transceivers, networking hardware, and interconnect products.

  • Develop software that controls optical test instruments, custom test boards, and other hardware components.

  • Write low-level drivers and hardware-control software in C and C++, and integrate native code with higher-level C# applications through DLL wrappers.

  • Read and interpret electrical schematics, block diagrams, datasheets, timing requirements, and hardware specifications.

  • Lead hardware bring-up, validation, and deployment of test solutions in production environments.

  • Debug complex hardware-software integration issues using oscilloscopes, logic analyzers, software tools, and hardware communication interfaces such as I2C, SPI, and UART.

  • Investigate failures, identify root causes, and implement reliable corrective solutions.

  • Collaborate with cross-functional teams to translate hardware requirements into software interfaces and automated test procedures.

  • Take technical ownership of projects from initial concept and prototype development through production release and ongoing support.

  • Improve test coverage, system reliability, maintainability, and scalability across multiple products and production lines.

What We Need to See:

  • Bachelor’s or master’s degree in Electrical Engineering, Computer Engineering, Software Engineering, or a related field with significant hardware, electronics, or software experience.

  • 4+ years of hands-on experience in software development, hardware-software integration, low-level driver development, firmware, or automated hardware testing.

  • Strong programming experience in one or more of Python, C#, C, or C++, with practical experience developing software that interfaces with hardware.

  • Experience reading and interpreting electrical schematics, block diagrams, hardware datasheets, and technical specifications.

  • Hands-on experience debugging hardware and software using laboratory instruments and software debugging tools.

  • Strong problem-solving skills and the ability to diagnose sophisticated hardware-software interaction issues.

  • Demonstrated technical ownership of projects, including development, integration, validation, and production deployment.

  • Excellent communication and collaboration skills, with the ability to work effectively across hardware and software teams.

Ways To Stand Out from the Crowd:

  • Experience with optical test equipment such as power meters, variable optical attenuators, laser sources, optical switches, or similar instruments.

  • Hands-on experience with PCIe, I2C, SPI, UART, Ethernet, or other hardware communication protocols.

  • Experience developing device drivers or hardware-interface software for Windows or Linux.

  • Experience wrapping native C/C++ libraries for use in managed .NET or C# applications.

  • Background in networking hardware, optical communications, high-speed interconnects, semiconductor validation, or production test environments (test-system architecture, failure analysis, manufacturing processes, and test data collection).

If you are a creative and autonomous engineer who enjoys developing software, automating complex hardware, reading schematics, debugging real systems, and taking ownership from bring-up to production, we would love to hear from you.

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Skills Required

  • Bachelor's or master's degree in Electrical Engineering, Computer Engineering, Software Engineering, or related field
  • 4+ years hands-on experience in software development, hardware-software integration, low-level driver development, firmware, or automated hardware testing
  • Strong programming experience in one or more of Python, C#, C, or C++ with experience interfacing to hardware
  • Experience reading and interpreting electrical schematics, block diagrams, datasheets, and hardware specifications
  • Hands-on debugging of hardware and software using laboratory instruments and software debugging tools (oscilloscopes, logic analyzers)
  • Demonstrated technical ownership of projects through development, integration, validation, and production deployment
  • Experience with optical test equipment (power meters, variable optical attenuators, laser sources, optical switches)
  • Hands-on experience with PCIe, I2C, SPI, UART, Ethernet, or other hardware communication protocols
  • Experience developing device drivers or hardware-interface software for Windows or Linux
  • Experience wrapping native C/C++ libraries for managed .NET / C# applications

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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