דרושים » מחשבים ורשתות » Senior Developer Relations Manager

We are a World Leader in AI Computing and Data transportation Technologies, and we are now looking for an Software Technical Program Manager for Quality Control Team in our Yokneam offices! We are looking for a bright, focused, analytical and motivated person who is an expert in SW PLC and development methodologies. As a Software Technical Program Manager, you'll work with all Networking SW departments to ensure excellent standards and execution of Software Products Quality. At this position youll be also working with our worldwide support teams, internal engineering, and production groups, hardware teams, and Program Management groups.

What youll be doing:

Design, develop and lead champion SW processes and methods to improve software quality.

Driving software quality from concept to release delivery via specific KPI's and quality targets.

Responsible for tracking and analyzing customer quality incidents, working with other engineers and managers to resolve issues and prevent reoccurrence.

Responsible to ensure organization's commitment to quality and adherence to quality methodologies and processes.

Instil world-class SW product design, development, verification, and validation processes across a large software organization.

Drive Quality process improvement initiatives to reduce customer issues and increase quality mindset of the engineering teams.

Maintain and oversee the document control and quality record systems.

We are seeking an experienced Software Manager to lead the Cumulus Linux Software Verification Team. In this role, you will play a critical part in advancing Cumulus Linux, a leading networking operating system and a cornerstone of the AI Factory the next-generation data center designed to power the training, fine-tuning, and deployment of AI models at scale. You will work closely with Cumulus Linux design and architecture teams while gaining deep insights into our products and technologies.

What Youll Be Doing:

Manage, mentor, and guide a team of software developers.

Oversee the design, implementation, and maintenance of scalable automation frameworks, while remaining hands-on with software development and debugging.

Drive timely, high-quality feature delivery.

Collaborate with global, cross-functional teams to identify, track, and resolve issues.

Analyze customer-reported issues, identify test gaps, and ensure robust regression coverage.

Work with continuous integration systems and regression tools.

Foster a culture of innovation, quality, ownership, and accountability.

Support team members with career development plans and achievable growth goals.

As the BlueField DPU Platform Software team, we are directly involved with the entire lifecycle of the DPU, including software development, new board bring-up, bootloaders, low-level device initialization, Linux OS drivers and kernel configuration, system management, and supporting customers with software fixes and new features. We believe our most valuable asset is our people and seek the very best to lead our outstanding team. Do you have management experience with teams developing embedded Arm platforms, operating systems, and software distribution? Do you have an ambition to lead teams forging innovative products and solutions? If so, this position is for you!

What you will be doing:

Mentor and expand your engineering team in the planning and execution of initiatives and projects with top quality and timely results.

Coordinate feature design and implementation as well issue resolution, as this is a technical leadership role.

Interact with internal and external partners to understand their use cases and requirements. Collaborate with engineering teams, program and product management across the product roadmap.

Continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are implementing in the most efficient and open manner.

Develop a team of engineers who understand the bigger picture, value collaboration, and can take ownership of and implement designs from beginning to end.

Be familiar with the open-source community process to advance industry-standard programming models and platform support while upstreaming and maintaining software into standard software distributions.

We are in search of a Senior Software Architect- a creative, forward-thinking, and practical researcher to improve the framework for widespread LLM learning and prediction. As part of our dynamic E2E Architecture group, you will design and optimize systems driving generative AI workloads, working at the intersection of software and hardware on some of the most advanced GPU clusters worldwide. You will define how AI models are deployed and scaled in production using the NVIDIA Spectrum-X Networking Platform, influencing decisions from inter-node communication and compute scheduling to system-level optimization. This is an opportunity to collaborate with best-in-class engineers and researchers and shape the future of generative AI in real-world applications. Your work will make a lasting impact by enabling generative AI technologies to reach real-world applications and improve global computing capabilities.

What Youll Be Doing:

Lead research and development of end-to-end networking solutions for distributed AI training and inference at scale, with a focus on job completion time, failure resiliency, telemetry, scheduling, and placement.

Analyze current deployments, develop prototypes, and recommend architectural improvements.

Stay abreast of the latest research; become the teams authority in emerging networking techniques and technologies.

Design, simulate, and validate new systems using novel, scalable network simulator NSX.

Develop and test prototypes on large-scale GPU clusters (e.g., Israel-1).

Collaborate across hardware, firmware, and software teams to translate ideas into real networking product features.

Publish patents and present research at leading conferences.

Were looking for an inspirational and experienced Director of R&D to lead our Talent Group, focused specifically on our Sellers journey. This is a critical leadership role that combines strategic technological oversight with a commitment to fostering a world-class engineering culture. You will be instrumental in defining and executing the technology roadmap, working closely with the VP of R&D and the Talent business leaders to ensure our sellers experience is powered by cutting-edge technology and a deeply Embedded AI-first approach.
What am I going to do?
Lead and Mentor: Oversee and mentor multiple team leads and their respective engineering teams, driving high performance, accountability, and professional growth across the domain. Set Technological Vision: Define and drive the technology roadmap for the Talent group, ensuring all systems are scalable, reliable, and leveraging the latest advancements in AI and data -driven solutions. Drive AI Innovation: Champion an "AI mindset" across all teams, leading the charge in integrating hands-on AI tools into product development and internal processes. Cultivate Culture: Partner closely with the VP of R&D and senior management to nurture a positive, inclusive, and high-velocity engineering culture built on technical excellence. Strategic Collaboration: Work cross-functionally with Product, Design, and Platform to translate business objectives into impactful technical strategies and deliver tangible value to our sellers.
Equal opportunities:
We prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

As the BlueField DPU Platform Software team, we are directly involved with the entire lifecycle of the DPU, including software development, new board bring-up, bootloaders, low-level device initialization, Linux OS drivers and kernel configuration, system management, and supporting customers with software fixes and new features. We believe our most valuable asset is our people and seek the very best to lead our outstanding team. Do you have management experience with teams developing embedded Arm platforms, operating systems, and software distribution? Do you have an ambition to lead teams forging innovative products and solutions? If so, this position is for you!

What you will be doing:

Mentor and expand your engineering team in the planning and execution of initiatives and projects with top quality and timely results.

Coordinate feature design and implementation as well issue resolution, as this is a technical leadership role.

Interact with internal and external partners to understand their use cases and requirements. Collaborate with engineering teams, program and product management across the product roadmap.

Continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are implementing in the most efficient and open manner.

Develop a team of engineers who understand the bigger picture, value collaboration, and can take ownership of and implement designs from beginning to end.

Be familiar with the open-source community process to advance industry-standard programming models and platform support while upstreaming and maintaining software into standard software distributions.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Waze Engineering Productivity (EngProd) team is the multiplier for all of Waze engineering.
In this role, you will design, build, and own the foundational systems that empower developers to ship with speed, quality, and confidence. You will be maintaining systems and leading the charge on Waze's technical initiatives.
Waze is where people and technology meet to solve transportation challenges. It's a platform that empowers users to contribute road data and edit Waze maps to improve the way we move about the world. As the social navigation pioneer, Waze leverages mobile technology and a passionate global community to redefine expectations of todays maps.
Responsibilities
Develop and maintain back-end services and libraries, in the Java ecosystem, that form the support of the development environment.
Take ownership of components within technical initiatives, such as the company-wide migration to our company3 or the rollout of new Artificial Intelligence (AI)-powered developer tools.
Deploy and manage mission-critical services on our company Cloud Platform (GCP) using technologies like Kubernetes and Docker, ensuring high availability and performance.
Collaborate with engineering teams across Waze to understand their issues, gather requirements, and deliver solutions that make their workflows efficient.
Work with Java, Python and our company's internal tooling to select the right technology for the job.

We're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of Machine Learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, we stand at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply Embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are seeking a highly motivated and skilled Release Manager to join our AIOps group. In this role, you'll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.
A day in the life and how youll make an impact:
* Manage a team of 3 release engineers.
* Manage the end-to-end release process of Machine Learning algorithms and infrastructure components, from qualification through deployment.
* Validate and TEST new algorithm releases to ensure they meet performance, stability, and compliance standards.
* Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
* Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
* Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
* Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
* Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
* Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.