1 day ago
Tel Aviv-Yafo, IsraelSenior
Responsibilities
- Design and build AI-driven infrastructure, tools, and workflows for developing, validating, and releasing firmware for next-generation network adapters.
- Identify firmware development bottlenecks and address them using AI, LLM-based agents, and intelligent automation.
- Prototype new concepts, evaluate their effectiveness, and turn successful ideas into robust solutions adopted across teams.
- Apply firmware and systems expertise to ensure AI-driven solutions reflect real low-level hardware and software behavior.
- Collaborate with firmware, software, architecture, and AI teams to define methodologies and technical direction for AI adoption in firmware engineering.
- Influence engineering culture by sharing knowledge, challenging assumptions, and encouraging innovative approaches.
Requirements
- B.Sc. or M.Sc. in Electrical Engineering, Computer Engineering, or Computer Science.
- At least 5 years of hands-on experience in firmware, embedded, or low-level software development.
- Strong programming skills in C and C++.
- Solid understanding of hardware/software interfaces and low-level system behavior.
- Demonstrated ability to solve complex technical problems creatively and originally.
- Curiosity, independence, and enthusiasm for exploring new technologies and ideas.
- Preferred experience applying AI or LLMs to engineering workflows, including agents, code generation, or intelligent automation.
- Preferred experience building tools, frameworks, or development infrastructure.
- Preferred networking background, such as RDMA, InfiniBand, or Ethernet.
- Preferred experience driving innovation or introducing new methodologies across engineering teams.
Benefits
- NVIDIA promotes a diverse work environment and is an equal opportunity employer.
- The role offers collaboration with firmware, software, architecture, and AI teams and the opportunity to influence technical direction.
Tech Stack
CC++
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.