Senior Software Architect, RISC-V Networking Accelerator

Reposted 6 Days Ago
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5 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Define and drive the software architecture for RISC-V-based networking accelerators. Design end-to-end embedded program flows across SDKs, RTOS/firmware, compilers, signing, deployment, and runtime. Lead interfaces, APIs, proofs of concept, cross-team coordination, and long-term infrastructure plans to enable secure, high-performance programmable networking acceleration.
Summary Generated by Built In

NVIDIA is looking for a highly motivated Senior Software Architect to join our Networking Software Architecture team in Israel. In this role, you will define and drive the software architecture for RISC-V-based networking accelerators, with a strong focus on programmable packet processing and networking acceleration infrastructure. The role is centered on the software and system foundations that enable embedded programs to be built, coordinated, secured, deployed, and performed across NVIDIA networking platforms.

You will work across architecture, hardware, firmware, software, SDK, and compiler teams to establish the common foundations for programmable networking acceleration. This includes building embedded software infrastructure, defining application lifecycle flows, and enabling scalable platforms for multiple programmable acceleration use cases. This is an outstanding opportunity to influence the architecture of programmable networking systems. You will solve complex cross-stack problems and help define how NVIDIA delivers secure, high-performance, and extensible acceleration infrastructure for future products.

What you'll be doing:

  • Establish the vision, architecture, and roadmap for the embedded RISC-V networking accelerators software stack across NVIDIA networking platforms.

  • Architect the end-to-end software stack for embedded program flows across SDKs, real-time operating systems, firmware, compilation, packaging, signing, registration, deployment, and loading.

  • Lead the definition of interfaces, abstractions, and APIs for embedded programs.

  • Build proofs of concept, guide technical investigations, and use data-driven analysis to validate architectural decisions.

  • Identify long-term infrastructure gaps and translate product requirements into clear architecture plans and implementation priorities.

What we need to see:

  • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.

  • More than 5 years of direct experience in embedded software development or low-level software architecture.

  • Extensive experience in system software, infrastructure, runtime architecture, or platform software for complex HW/SW products.

  • Solid understanding of low-level software concepts such as toolchains, compilers, binary formats, runtime loading, execution environments, performance optimization, and memory-conscious system building.

  • Experience working across multiple layers such as architecture, firmware, SDKs, compilers, operating systems or RTOS, and host software.

  • Strong technical and communication skills, with the ability to turn requirements into clear architecture, technical direction, and implementation plans across globally distributed teams.

Ways to stand out from the crowd:

  • Proven experience with networking systems, packet processing, RDMA, transport protocols, or NIC software and firmware interfaces.

  • Experience with programmable networking, smart NICs, embedded accelerators, or RISC-V-based execution environments.

  • Background in compiler and toolchain flows, ELF and binary formats, signing and verification flows, or embedded program lifecycle infrastructure.

  • Experience with RTOS integration, board bring-up, BSP or driver development, or secure software delivery flows.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
  • More than 5 years of direct experience in embedded software development or low-level software architecture.
  • Extensive experience in system software, infrastructure, runtime architecture, or platform software for complex HW/SW products.
  • Solid understanding of low-level software concepts: toolchains, compilers, binary formats, runtime loading, execution environments, performance optimization, memory-conscious systems.
  • Experience across architecture, firmware, SDKs, compilers, operating systems/RTOS, and host software.
  • Strong technical and communication skills to define architecture and lead globally distributed teams.
  • Proven experience with networking systems, packet processing, RDMA, transport protocols, or NIC software/firmware interfaces.
  • Experience with programmable networking, smart NICs, embedded accelerators, or RISC-V-based execution environments.
  • Background in compiler and toolchain flows, ELF and binary formats, signing and verification, or embedded program lifecycle infrastructure.
  • Experience with RTOS integration, board bring-up, BSP or driver development, or secure software delivery flows.

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.

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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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