דרושים » תוכנה » Senior Software Verification Engineer, Bluefield BMC

Our DOCA Verification team is seeking a highly motivated and hardworking Software Engineer with hands-on capability technical experience, to verify the design and implementation of the next generation Data Processing Unit Software, with wide range of features related to cyber security and embedded systems. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting data centers across the world. We're united in our quest to transform the way Smart Adapters are used.
What you'll be doing:
Collaboration & Communication: Work closely with software, architecture, product and DevOps teams to define test requirements, coordinate releases, and ensure high-quality product delivery.
End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test plan development to final implementation and full automation
Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products
System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools.
Defect Analysis: Analyze test results, open bugs and track issues to closure, ensuring robust and scalable solutions.
Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.
Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools.
Regression Monitoring: Operate, monitor, and analyze failures in the nightly regression system, providing methodical root-cause analysis across hardware, OS, and software layers.

We are looking for a strong hands-on verification manager to lead the growing SDK Verification team.
This role combines leadership with deep technical involvement, working closely with SDK design and architecture teams while building expertise in networking protocols and networking technologies.
What Youll Be Doing
Lead, mentor, and grow a team of verification engineers
Promote quality, automation, and scalability
​Oversee development and optimization of APIs, tools, and libraries, and Maintain OS verification infrastructure​
Improve automation workflows for fast and reliable SDK releases and Drive evolution of CI/CD pipelines
​Work closely with hardware, firmware, DevOps, and software teams
Align on verification methodologies and infrastructure improvements
​Stay hands-on while leading
Guide design reviews and architecture discussions and Define best practices for verification excellence.

We are looking for a Senior Software Engineer to join our Sensors Team and play a key role in the development of our Endpoint Sensor (Agent) platform. This is a hands-on senior position with strong technical ownership, focused on designing, building, and maintaining high-performance endpoint sensors across multiple operating systems.
In this role, you will work closely with sensor, analysis, and platform teams to ensure reliable, efficient, and scalable data collection in highly complex and demanding customer environments. The position requires deep systems knowledge, strong problem-solving skills, and the ability to influence technical direction through technical expertise.
RESPONSIBILITIES:
Design, implement, and maintain endpoint sensors on Windows, macOS, and multiple Linux distributions, including installation processes and shared APIs
Take technical ownership of key components within the endpoint sensor stack, ensuring high performance, reliability, and low resource footprint
Collaborate with cross-functional engineering teams to define APIs, schemas, and data flows, ensuring data accuracy, availability, and correctness across the system
Participate in architectural and design discussions, contributing to technical decisions and long-term system evolution
Identify and implement improvements across the system, from core business logic to new data sources and monitoring capabilities
Troubleshoot and resolve complex issues related to sensor deployment, behavior, and performance across different operating systems and environments
Maintain high engineering standards, including code quality, testing, documentation, and maintainability, while working within an agile development process

Required Senior Software Engineer, Data Center Workloads - Infrastructure
We are pioneers in innovation, transforming computer graphics, PC gaming, and accelerated computing for over 25 years. Our team is driven by powerful technology and outstanding people who expand the limits of whats achievable. Now, we are unlocking the potential of AI to usher in the next era of computing.
As part of our engineering organization, you will play a key hands-on role in developing and executing software-driven characterization workflows on our rack-scale systems. This role is focused on running AI workloads across the full stack to analyze, characterize, and optimize power, performance, and drive behavior at system level. This is an opportunity to work at the intersection of software, infrastructure, silicon, and large-scale AI platforms, with direct impact on next-generation systems.
What youll be doing:
Develop and run software tools, automation, and workloads to characterize power, performance, and drive behavior across our rack-scale systems.
Execute AI and system-level workloads to stress and evaluate behavior across the stack, including GPUs, CPUs, networking, storage, firmware, drivers, and system software.
Build automated frameworks for data collection, telemetry, validation, correlation, and analysis of characterization results.
Investigate system behavior under different workloads and operating conditions to identify bottlenecks, anomalies, and optimization opportunities.
Work closely with hardware, firmware, driver, system software, performance, and validation teams to define characterization methodologies and debug cross-stack issues.
Support bring-up, validation, and readiness activities for new rack-scale platforms and AI infrastructure.
Create clear documentation, test flows, and repeatable processes to improve coverage, efficiency, and reproducibility.

Required System Validation Engineer
Yokneam, Northern, Israel
We are expanding our System Validation Group and invite you to explore Space with us!
Outstanding opportunity to be part of a super-cutting-edge team working on systems above and beyond the globe
What you will be doing​:
Writing system validation Test plans , Design and develop Test programs to validated embedded system features and performance.
Conducting System Validation Test cycles to verify systems based on HW (analog and Digital), RF, SW, FW
Experience with Python or C programing, Git or other programming languages & source control.
Strong technical troubleshooting.
Develop tools and utilities for Lab & field testing, feature analysis
High debug capabilities when work with the Software, systems, HW teams on complex issues.
Ability to move fast and decisiveness.
Building development environment.
Designing automate tests.
E2E ownership product from kickoff to production.

We are looking for a phenomenal engineer to join the chip simulation team for networking chips and GPUs.
This simulation platform enables our engineers across firmware, SDK, and OS domains to develop and test their code without relying on physical hardware. If you're a creative, self-driven engineer passionate about systems-level design and eager to build technology that empowers internal teams, we want to hear from you.
What Youll Be Doing:
Develop and maintain simulation components for the physical layer of our high-performance networking chips (e.g., GPUs, switches, NVLink, Ethernet...).
Collaborate with chip architects, firmware developers, and hardware design teams to accurately simulate complex physical-layer behaviors in software.
Define, implement, and validate simulations of features such as link training, error injection, and transceiver behavior, making the simulation platform a go-to internal platform for development and debugging.
Extend and optimize the simulation infrastructure by contributing to CI pipelines, automated test frameworks, and regression tools.
Support internal users by debugging simulation flows and collaborating on bug resolution.
Take part in future-facing innovation by enabling simulation for next-generation devices and features.

We are looking for a 100% hands-on Storage Services Software engineer to join the block storage group. You will be a member of a team that builds the next generation block storage capabilities. You will work closely with a variety of teams and architects including the networking team, and external customers. You will take part in defining the software architecture and implementation of the most advanced storage services! Services that will need to meet extreme performance and scalability demands! We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow.
We work, think and learn as a team. We thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play.
What youll be doing:
100% hands-on coding role in C language, kernel and userspace
Access advanced AI tools and a token budget for code development provided by us, the world's AI factory leader.
Research, design, implement and test, new and existing, networking features for distributed storage services and features of our block storage solution, in both Host and DPU environments.
Acquire understanding of the algorithms, the technicalities and the interaction with other components across our block storage ecosystem.
Analyze and solve challenging bugs and customer cases in large scale production systems, identifying issues in our or inbox kernel modules and often in other components. Drive new solutions based on any issues that arise.

We are looking for a 100% hands-on Network Software engineer to join the block storage group. You will be a member of a team that builds the next generation block storage capabilities. You will work closely with a variety of teams and architects including the networking team, and external customers. You will take part in defining the software architecture and implementation of the most advanced storage services! Services that will need to meet extreme performance and scalability demands! We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow.
We work, think and learn as a team. We thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play.
What youll be doing:
100% hands-on coding role in C language, kernel and userspace
Access advanced AI tools and a token budget for code development provided by us, the world's AI factory leader.
Research, design, implement and test, new and existing, advance networking service and features of our block storage solution, in both Host and DPU environments.
Acquire understanding of the algorithms, the technicalities and the interaction with other components across our block storage ecosystem.
Analyze and solve challenging bugs and customer cases in large scale production systems, identifying issues in our or inbox kernel modules and often in other components. Drive new solutions based on any issues that arise.

Required Senior Emulation Verification Engineer, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
Responsibilities
Plan and execute the verification of digital design blocks by understanding specifications and working with design engineers to define key verification scenarios.
Develop, execute, and debug full-chip/system on a chip (SoC) tests on emulation platforms.
Collaborate with design engineers to debug tests and ensure functional correctness of design blocks.
Define and implement various coverage measures to capture stimulus and corner-case scenarios. Work with software and post-silicon validation teams to reproduce failures on emulation.
Drive coverage analysis to identify verification gaps and demonstrate progress towards tape-out. Explore new verification and emulation methodologies and implement them.

Your Role:

Lead the design and development of complex, high-performance, backend services within the One ecosystem, ensuring modularity and long-term maintainability.

Own the end-to-end performance of critical platform components, optimizing for massive data ingestion and low-latency processing across global environments.

Drive architectural discussions and provide high-level input on system design, steering the team toward scalable, cloud-native best practices.

Actively mentor and contribute to code reviews and technical discussions, sharing expertise and fostering a collaborative environment for continuous improvement.

Collaborate closely with Product, SRE, QA and Security teams to implement technical solutions aligned with business objectives.

Take a production-first approach to reliability; lead root cause analysis for complex distributed system issues and implement preventative measures to guarantee system reliability.