דרושים » תוכנה » Tech Lead - Platform Software Engineer

The company Engineering team is looking for a Software Engineer to join our Telco engineering group. You will be part of a team responsible for designing and implementing the container platform for 5G telecommunication companies, contributing to industry-leading technologies in the Kubernetes ecosystem. In this role, you will help develop and implement cutting-edge new technologies and features. As a part of a geographically distributed team you will collaborate with multiple companys engineering teams and open source communities around the globe.
To be successful in this role, you will need to have motivation, curiosity, passion for problem solving, and experience with Linux technologies and open source.
What you will do:
Play an active role and contribute to multiple open source projects and communities like Kubernetes, our company OpenShift, Open vSwitch (OVS), and Open Virtual Network (OVN)
Develop and integrate changes in multiple projects to provide end-to-end solutions
Troubleshoot, analyze bug root causes and provide resolutions
Review design, enhancement proposal and patches from other members
Work with the quality engineering team (QE) to ensure projects are tested correctly
Publicize the team's work through blogs, web postings, or conference talks.

Were looking for an experienced Lead Full-Stack Developer whos ready to take technical ownership, support a growing team, and drive the evolution of our products.
This role is ideal for someone who enjoys combining hands-on coding with mentorship and day-to-day technical leadership.
Responsibilities:
As a key player in one of our agile teams, you actively contribute to the development of products according to agile principles
You are responsible for all parts of the software development process: requirements analysis, implementation, testing, etc.
You work in a self-organizing team in our agile software development process and help shape it to continuously improve
You develop valuable increments for our product according to our vision with the newest technologies
Continuous learning and improvement of your and our way of working is part of your daily business
As a lead, you are acting as a role model for your team and guiding less experienced members of your team
You have an eye on all non-functional aspects of development (security, performance, scalability, reusability) and do the reviews for critical implementations
When user stories are planned, you make sure that an implementation plan is created, and you challenge user stories on a technical level.
You are skilled in communicating and can argue your ideas and views
JR105295

our companys Global Engineering organization is looking for a Principal Software Engineer to join the Telco Partner Architecture team in Telco Engineering. You will be part of a team responsible for designing and implementing the container platform for 5G telecommunication networks, contributing to industry-leading technologies in the Kubernetes and Telecom ecosystem with Telco Partners in EMEA or APAC, for example CNCF projects, and O-RAN.
As a part of a geographically distributed team, you will work with multiple our company teams and open source communities around the globe.
To be successful in this role, you will need to have motivation, curiosity, passion for problem solving, and experience with Linux technologies, Kubernetes and open source development models. We can hire you in any EMEA or APAC country where our company has a legal presence.
What you will do
Define, contribute to, and collaborate with Telco partners on Blueprints and system architectures pairing our company platforms with Partner technology
Establish long-term technical relationships with key Telco partners, gathering and analyzing partner requirements and use cases to deliver meaningful business outcomes
Play an active hands-on role in researching and then architecting various OpenShift and Telco specific features into a unified solution, proactively test the involved technologies, experiment and provide demonstrations
Collaborate across teams (Product Management, Engineering, QE, Consulting, Support) to influence future directions and be an advocate for feature development and support needed for strategic partners next generation offerings
Evangelize the team's work through blogs, web postings, or conference talks
Collaborate with cross-functional teams to identify opportunities for AI integration, driving continuous improvement and innovation in engineering practices.

our company has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technologyand amazing people. Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. As a worker, youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
we are seeking a highly skilled and modern software engineer to develop and prototype brand new advancements in distributed training and inference using our companys Spectrum-X AI fabric. This role offers a rare chance to pioneer AI and networking technology, contributing to ground-breaking projects that will define the landscape of large-scale AI systems. Improve AI app-networking connection by refining communication, crafting congestion control, coding NIC firmware, and expanding switch SDK features for enhanced AI factory efficiency. Your work impacts large AI system development, scaling, and speed.
What youll be doing:
Prototype end-to-end solutions to improve distributed training and disaggregated inference performance.
Analyze and optimize communication flows across application, transport, and network layers.
Develop system software spanning communication libraries, drivers, and firmware integrations.
Collaborate with hardware, firmware, and SDK teams to co-design network features.
Validate and integrate prototypes into our companys AI infrastructure and products.

In one sentence
The company Data and AI platform is looking for a Software/ML Engineer specialist to join us in Raanana, Israel. In this role, you will join Data Science & MLOps team that develops features on our product based on the Databricks platform, where Spark is at the heart of our implementation.
You will work end-to-end: from data preparation and feature engineering, through ML/LLM modeling, to production-grade deployment, CI/CD, and monitoring.
Youll need excellent technical skills along with strong communication and ownership.
We are a team with open discussions, where every voice counts, and we are open-minded about adopting new technologies when they make sense.
What will your job look like?
Develop production-grade ML/LLM services and pipelines on Databricks, using Spark.
Design, implement, and maintain reusable preprocessing and feature engineering components.
Industrialize the ML lifecycle (experiment tracking, model packaging, deployment, monitoring) and improve reliability, performance, and cost.
Build ML pipelines and model deployments using Jenkins and Databricks Asset Bundles.
Work closely with data scientists and engineers to translate research into scalable, maintainable production code.
Own features from design through production, including writing tests, documenting, and providing operational support.
Come to the office 3 times a week.

we are building state-of-the-art accelerated computing platforms that know no boundaries. Our technology is crucial for global innovators, scientists, researchers, and engineersempowering them to transform their boldest concepts into tangible outcomes. Our next-generation Infiniband, NVLink, and Ethernet systems will continue to be at the forefront of connecting and powering the world's most advanced AI clusters.
We seek a highly motivated and experienced Software Architect specializing in Ethernet Switch ASICs to join our team of experts and help shape the future of high-performance ML/AI computing. You will have the opportunity to work on some of the most pioneering technologies and help drive the innovation of our next-generation networks. You will play a key role in defining switching software stacks and Linux kernel networking, and help address new business opportunities in exciting areas. Our Architects also represent our company in open-source projects, technical conferences, and standard development organizations.
What you'll be doing:
Explore networking technologies, features and protocols, hardware/software capabilities, open-source software and drivers for our Ethernet Switch ASICs and Networking platforms.
Be familiar with the Ethernet Switch ASIC hardware and software stacks, as well as with the Ethernet Switch platforms design and characteristics.
Define robust architectures and technical requirements for embedded software, meeting AI/ML workloads' needs and highly performing network operations.
Lead the work with R&D and Validation teams, providing technical guidelines and close support and thorough reviews for detailed designs and test plans.
Collaboration with architects across various fields, including Chip Design, Firmware, Hardware Platforms, and System teams.
Close work with product marketing, program managers, and account managers to ensure the successful execution of projects.
Support engagements with key customers, issue patents, publish white papers and blogs, and be proactive in technical forums and industry working groups.
Promote innovation through the design and implementation of Proof-of-Concept (PoC).

A global leader in high-scale disaggregated networking solutions is seeking a talented C ++ software engineer to join its team in Israel. The company develops cutting edge network architecture and AI infrastructure solutions used by major service providers, cloud providers and hyperscalers worldwide. With substantial growth and large scale deployments, it offers a unique opportunity to work on next generation communication technologies with significant real world impact.
We are looking for top tier engineers who bring creativity, strong execution skills and a desire to translate innovative ideas into high value solutions for customers. The role involves end to end software design, development and debugging, along with mentoring junior team members.
You will join the data path group, which builds core components for large scale distributed systems. The team owns data plane features such as forwarding information base, quality of service, security and telemetry.

This role needs a seasoned engineer that thinks creatively, adapts to rapid change, and has the willingness to learn and apply new technologies. You will be joining a vibrant open source culture, and helping promote performance and innovation in this company engineering team. The border mission of the Performance and Scale team is to establish performance and scale leadership of the company product and cloud services portfolio. The scope includes component level, system and solution analysis and targeted enhancements. The team collaborates with engineering, product management, product marketing and customer support as well as our companys hardware and software ecosystem partners.
At our company, our commitment to open source innovation extends beyond our products - its embedded in how we work and grow. workers embrace change especially in our fast-moving technological landscape and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.
What you will do:
Define and track key performance indicators (KPIs) and service level objectives (SLOs) for large-scale, distributed LLM inference services in Kubernetes/OpenShift
Participate in the performance roadmap for distributed inference, including multi-node and multi-GPU scaling studies, interconnect performance analysis, and competitive benchmarking
Formulate performance test plans and execute performance benchmarks to characterize performance, drive improvements, and detect performance issues through data analysis and visualization
Develop and maintain tools, scripts, and automated solutions that streamline performance benchmarking tasks.
Collaborate with cross-functional engineering teams to identify and address performance issues.
Partner with DevOps to bake performance gates into GitHub Actions/OpenShift Pipelines.
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.
Triage field and customer escalations related to performance; distill findings into upstream issues and product backlog items.
Publish results, recommendations, and best practices through internal reports, presentations, external blogs, and official documentation.
Represent the team at internal and external conferences, presenting key findings and strategies.

The company Engineering team is looking for a Senior Integration Engineer to join our Edge Infrastructure Group. In this role, you will be part of a team responsible for designing and implementing the container platform for enterprises and telecommunication companies and contributing to industry-leading technologies in the Kubernetes ecosystem. As a part of a geographically distributed team, you will collaborate with multiple company engineering teams and open source communities around the globe. To be successful in this role, you'll need to have motivation, curiosity, passion for problem-solving, and experience with Linux technologies and open source.
What You Will Do
Play an active role applying Kubernetes and our company OpenShift to customer use cases
Develop and integrate changes in multiple projects using open source methodologies to provide end-to-end solutions
Troubleshoot, analyze bug root causes, and provide resolutions
Review design, enhancement proposal, and patches from other team members and other collaborators
Work with various engineering team to ensure products are developed and tested correctly
Publicize the team's work through blogs, web postings, or conference talks
Stay up-to-date on the latest advancements in AI frameworks, and leverage those in your day to day work.

We are seeking a highly skilled and motivated Team Leader - Python Automation Infrastructure and testing to join our R&D organization. This role is central to building and leading our automation Infrastructure and testing, ensuring robust test coverage across SW components, integration, system, and end-to-end levels.
The successful candidate will provide both technical leadership and hands-on contribution-mentoring a team of automation engineers, establishing best practices, writing automated tests, and driving adoption of modern automation tools based Python and CI/CD methodologies. While the primary focus is integration automation, knowledge of RF systems/Cyber and DevOps is a strong plus.
Key Responsibilities:
Bachelor's degree in Computer Science or related field.
Lead and mentor a team of automation engineers, setting technical direction, assigning tasks, and supporting professional growth.
Architect, implement, and maintain scalable automation frameworks using Python and Pytest.
Write, review, and optimize unit, integration, and regression test cases to ensure high-quality software delivery.
Oversee automation of system-level and end-to-end testing, including API and UI layers (Selenium preferred).
Design and maintain CI/CD pipelines with Jenkins, Docker, and Git, ensuring automated testing is integrated into every stage of development.
Collaborate closely with software developers, RF, QA, DevOps, and hardware teams to embed testing and automation best practices into the product lifecycle.
Define, track, and report test metrics such as coverage, execution reliability, and defect detection effectiveness.
Promote a culture of quality and continuous improvement, introducing new tools and practices to strengthen automation.
Act as a technical expert, conducting code reviews and ensuring adherence to coding/testing standards.