Senior Software Architect, Advanced Development

Posted 4 Days Ago
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Raanana, ISR
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Software Architect will design and implement scalable software systems for data centers, focusing on simulation, telemetry, and advanced processing solutions, while collaborating across teams and contributing to open-source projects.
Summary Generated by Built In

NVIDIA is looking for a highly skilled Advanced Development Engineer to join the Software Architecture Team. In this hands-on role, you will shape the future of large‑scale data centers through advanced simulation, high‑scale telemetry, and next‑generation infrastructure solutions. You will work at the frontier of technology - exploring, prototyping, and proving new concepts - and turn them into scalable, production‑ready foundations. Your work will span large‑scale telemetry pipelines, data integrity at extreme scale, and advanced simulation frameworks used to model, validate, and optimize complex data‑center environments.

As part of the Architecture team, you will directly influence cross‑company platforms and long‑term technology direction, while actively contributing code, frameworks, and ideas. You will also have opportunities to participate in and contribute to open‑source projects and communities.

What you'll be doing:

  • Discover, evaluate, and prototype emerging technologies with a strong focus on simulation, scale, and system behavior modeling.

  • Design, implement, and evolve high‑scale software systems integrated across the full Data Center life‑cycle.

  • Build advanced simulation solutions to model data‑center behavior, telemetry flows, failure scenarios, and system performance at scale.

  • Define and expand large‑scale telemetry and observability pipelines, ensuring accuracy, consistency, and traceability of data.

  • Incorporate new and diverse data sources to continuously extend the capabilities of a centralized, petabyte‑scale Data Lake.

  • Collaborate closely with engineering, architecture, and research teams across NVIDIA to translate business and technical requirements into robust, scalable solutions.

  • Work side‑by‑side with architects and data scientists to design, validate, and evolve data and simulation architectures.

  • Contribute to defining the architecture of next‑generation monitoring, analytics, and simulation platforms for hyperscale data centers.

  • Extend existing platforms and actively contribute code, designs, and leadership to Open Source projects and communities.

What we need to see:

  • BSc. or MSc. in Computer Engineering or Computer Science.

  • 5+ years of hands‑on software development experience in complex, large‑scale systems.

  • Strong experience with large‑scale data processing and analytics platforms (e.g., Spark, Databricks, or equivalent).

  • Proven ability to design and implement high‑performance, scalable solutions, from ETL pipelines to independent simulation frameworks.

  • Excellent coding skills, technology‑agnostic, with a focus on correctness, performance, and maintainability.

Ways to stand out from the crowd:

  • Experience designing or building simulation platforms or system‑level modeling solutions.

  • Strong background in cloud‑native architectures and modern deployment methodologies.

  • Knowledge of data center architectures, networking, and infrastructure technologies.

  • Experience with GPU‑accelerated or high‑performance computing solutions.

  • Active contributions to Open Source projects or technical communities.

With competitive salaries and a generous benefits package, NVIDIA is widely considered one of the technology world’s most desirable employers. Our teams are composed of exceptional engineers pushing the boundaries of what’s possible. Due to unprecedented growth, our engineering organization is rapidly expanding. If you are a deeply hands‑on engineer, passionate about simulation, scale, and advanced system design, we want to hear from you.

Skills Required

  • BSc. or MSc. in Computer Engineering or Computer Science
  • 5+ years of hands-on software development experience
  • Strong experience with large-scale data processing
  • Proven ability to design high-performance scalable solutions
  • Excellent coding skills

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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