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NVIDIA

Interconnect Hardware Engineer - Networking

NVIDIA is hiring an Interconnect Hardware Engineer - Networking. It pays DKK 585k-DKK 1014k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Level classes it as a mid-level role.
  • NVIDIA has 2,700+ other open roles on Level.

AI in this role

NVIDIA is seeking a Development Engineer to join the Interconnect Design team in Roskilde, Denmark. This role focuses on the end‑to‑end development of high‑speed optical transceivers that enable next‑generation data center interconnects. You will own complete transceiver developments—shaping technical direction, executing hands-on lab work, and collaborating with a wide range of global partners to bring products from early concept through high-volume manufacturing.

This is a highly technical, hands-on position requiring strong ownership, lab expertise, and a product-oriented mindset.

What You’ll Be Doing

  • Drive the design, adaptation, and validation of high-speed optical transceivers
  • Take technical leadership of development programs from requirements definition to production release
  • Collaborate closely with system architects, firmware, optics, mechanical, thermal, manufacturing, and operations teams
  • Perform laboratory bring-up, debugging, and optimization of prototypes
  • Execute detailed electrical and optical characterization against industry standards
  • Support root-cause analysis and performance optimization at both component and system level

What We Need To See

  • Master's degree (or equivalent experience) in Electrical Engineering, Photonics, or a related field.
  • 3+ years of industry experience working with high-speed optical or digital communication systems
  • Hands-on experience with laboratory measurement, validation, and debug of high-speed hardware
  • Working knowledge of optoelectronic components and transceiver architectures
  • Basic understanding of electronics and RF principles
  • Strong sense of ownership with the ability to independently drive projects forward
  • Excellent written and spoken English communication skills
  • Proficiency in at least one programming or scripting language (e.g., Python, MATLAB)

Ways To Stand Out From The Crowd

  • Ph.D in a relevant technical field is considered a strong plus
  • Experience with optical system design or high-speed optical links
  • Exposure to electronic or optoelectronic packaging
  • Background in PCB or electrical circuit design and EMC/EMI fundamentals
  • Familiarity with thermal solutions for high-performance hardware

NVIDIA is widely considered to be one of the technology world’s most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! NVIDIA is committed to foster a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
585,000 DKK – 1,014,000 DKK for Level 3; and 705,000 DKK – 1,222,000 DKK for Level 4.

How we rate this

Interconnect Hardware Engineer - Networking at NVIDIA rates 13 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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