Software Verification Engineer, Bluefield BMC
NVIDIA is hiring a Software Verification Engineer, Bluefield BMC in Tel Aviv, Israel. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- On Level's scale, this role is Uses AI ●●○○: an ordinary role that requires AI tools.
- Level classes it as a junior role.
- NVIDIA has 2,700+ other open roles on Level.
- Posted in the last few days.
AI in this role
We are looking for an excellent highly motivated 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)
- 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 & 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
- Knowledge/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.
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How we rate this
Software Verification Engineer, Bluefield BMC at NVIDIA rates 44 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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