Software Verification Engineer

NVIDIA

. Design and implement comprehensive verification plans and automated Python environments to validate high-end hardware and software .

Posted 11/3/2026full-timeTel Aviv • IsraelJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python for testing complex embedded systems and a strong verification mindset to enhance software quality through automation. Proficient in Linux environments and familiar with networking infrastructure, contributing to robust hardware-software interoperability.

Highest-signal resume keywords

Python ExperienceSoftware Testing AutomationLinux Distributions KnowledgeCI/CD ApproachesSoftware Debugging Skills

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Hard Skills

PythonSoftware TestingDebuggingNetworkingLinuxElasticsearchKibanaGrafanaDockerKubernetes

Soft Skills

Problem-SolvingCollaboration

Tools & Technologies

PyTestJenkinsQEMUKVM

Industry Keywords

Embedded SystemsSoftware VerificationQuality AssuranceInfrastructure DeploymentHigh-End Hardware

Tech Stack

Tools & technologies

DockerElasticSearchGrafanaJenkinsKubernetesLinuxPythonC++

About the role

Key responsibilities & impact

Design and implement comprehensive verification plans and automated Python environments to validate high-end hardware and software
Lead end-to-end feature validation from architectural review through final system integration
Ensure robust hardware-software interoperability
Identify, analyze, and report software defects, inconsistencies, and other quality issues
Improve product quality by increasing test coverage
Participate actively in development, integration, and verification with R&D
Drive improvements in performance, quality, and stability for software acceleration solutions
Stay current with industry best practices, new technologies, and emerging trends in software verification
Work closely with hardware, firmware, and software teams worldwide

Requirements

What you’ll need

Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
0-2 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
Good background in designing, implementing, and debugging Software
Knowledge/expertise in networking and compute infrastructure, including servers, switches, routers, and TCP/UDP
Knowledge of tuning environments for best performance and deploying infrastructure based on innovative technologies and high-end hardware
Knowledge/experience with Linux distributions: CentOS/RedHat, Ubuntu, Fedora, and SLES
Extensive knowledge in software debugging and problem-solving skills
Experience with PyTest or other testing tools (standout qualification)
Proficiency with Elasticsearch, Kibana, or Grafana (standout qualification)
Hands-on experience with Linux virtualization using QEMU/KVM (standout qualification)
Work background with CI/CD approaches and toolsets such as Jenkins (standout qualification)
Knowledge of Docker and Kubernetes (standout qualification)
Understanding of the C/C++ toolchain in Linux, including cross-compilation, C, C++, automake/autoconf, cmake, and meson (standout qualification)

Benefits

Comp & perks

Equal opportunity employer committed to fostering a diverse work environment
Non-discrimination in hiring and promotion practices