Senior Software Verification Engineer, Bluefield BMC

Reposted 12 Days Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Software Verification Engineer develops automated testing frameworks, ensures software quality, and collaborates with hardware and software teams to enhance product performance and reliability.
Summary Generated by Built In

We are looking for an excellent highly motivated Senior SW Verification Engineer with experience in embedded software development to join the software testing team in the Data Processing Unit (DPU) SW Group. We are looking for a candidate with a strong quality-oriented mindset, the ability to thrive in an environment with complex software and hardware designs, and a passion for deep-dive verification of key DPU components. The role includes working closely with HW, FW, and SW teams all over the world, and take our product to next level. 

What you’ll be doing:

  • Design and implement comprehensive verification plans and automated environments, using Python, to validate high-end hardware and software which is at the forefront of innovation

  • Lead end-to-end feature validation, from architectural review to final system integration, ensuring robust HW-SW interoperability

  • Identify, analyze, and report software defects, inconsistencies, and other quality issues

  • Make better product quality by improving tests coverage

  • Take an active part in development, integration and verification with R&D

  • Drive improvements for performance, quality, stability around SW acceleration solutions

  • Stay up to date with industry best practices, new technologies, and emerging trends in software verification

What we need to see:

  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience)

  • 5+ years of Python experience, specifically in testing complex embedded systems, system-level software, or firmware-integrated environments

  • Strong verification mindset with experience in developing modern Software testing System/QA automation and contribution with a real passion for automation

  • Proved knowledge in performance testing scenarios and creation of performance reports

  • Good background in designing, implementing, and debugging Software

  • Background in Scripting (Bash, Groovy)

  • Expertise in networking & compute infrastructure (servers, switches, routers, TCP/UDP)

  • Knowledge of how to tune environment for the best performance and deploy infrastructure based on innovate technologies and high-end hardware

  • Experience in Linux distributions (Centos/RedHat, Ubuntu, Fedora, SLES)

  • Extensive knowledge in Software debugging and problem solving skills

Ways to stand out from the crowd:

  • Experience with PyTest or other testing tools

  • Proficiency with data search and analytics engine (Elasticsearch, Kibana, Grafana)

  • Hands-on with virtualization in Linux (QEMU/KVM)

  • Work Background with CI/CD approach and toolset (Jenkins)

  • Knowledge of Docker and Kubernetes as well as understanding of C/C++ toolchain in Linux including cross-compilation (C, C++, automake/autoconf, cmake, meson)

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 and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you. NVIDIA is committed to fostering 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.

Skills Required

  • Bachelor's degree in Computer Science, Software Engineering, or a related field
  • 5+ years of experience in writing programs using Python
  • Experience in developing modern Software testing System/QA automation
  • Good background in designing, implementing, and debugging Software
  • Background in Scripting (Bash, Groovy)
  • Expertise in networking & compute infrastructure
  • Experience in Linux distributions (Centos/RedHat, Ubuntu, Fedora, SLES)
  • Extensive knowledge in Software debugging and problem solving 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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