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we are looking for a Junior Software TEST Practical Engineer to join our Haifa office in Israel to perform software field testing in Nahariya autonomous bus project. You will be responsible for the whole car software / hardware testing pipeline, issues reporting, and team communication. This is an opportunity for a field position in the autonomous driving industry with real-world experience in features testing. Responsibilities: 1. Manage Software TEST cycle which includes; running TEST scenarios, configuration management & code debugging. 2. Report the main Software / Hardware car issues to the appropriate engineer, this needs an understanding of the technology and capability of pinpointing where a problem is located and who is responsible to fix it. 3. In charge of Hardware fixing in the bus - switch GPU, RAM etc. 4. In charge of communication with bus drivers and drivers training. 5. When not testing in the bus, you will be requested to work from Haifa office and write the bug reports. 6. Able to read and write in Hebrew and English. You will be required to write emails and reports in English. 7. You will participate in demos for visitors / potential clients, and you will present the software to the visitors.

Required Research Scientist Intern, AI Core Machine Learning (PhD)
We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, signal processing, information retrieval, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.
Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, AI Core Machine Learning (PhD) Responsibilities
Develop novel state-of-the-art machine learning algorithms and corresponding systems, leveraging various deep learning techniques.
Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.
Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio).
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
Contribute to research that can be applied to Meta product development.

Come join the company building the security operating model for the age of AI. AI has changed how data is used - and security must change with it. our company's mission is to empower businesses to accelerate AI Adoption by defining a holistic approach to securing AI - from data to access to model. Instead of perimeter controls and static policies, our company provides a unified control plane that understands relationships between data, access, and behaviors across humans, systems, and AI. Backed by the worlds leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data and AI security.
Responsibilities:
As our customers include fortune 500 companies, we face the challenge of working with immense amounts of data - Petabytes over Petabytes. You will be responsible for improving the efficiency, scalability, and stability of various system components facing this extreme scale.
Working with an extensive range of cloud infrastructure tools (multi-cloud: AWS, Azure & GCP), both for our cloud-based infrastructure but mainly due to our comprehensive support of cloud technologies for our clients
Contribute best practices and architectural leadership to our backend applications and help pick the architecture, frameworks, and tooling for our company core technologies.
Helping with selecting, onboarding, and coaching junior members of the team
Close collaboration with technical (backend, QA & infrastructure) and non-technical (product, design) roles to understand and challenge end-user requirements and ultimately translate these into effective technical solutions
Our Stack: Node.js, Typescript, React, Nest.js.

We are seeking a dynamic and highly motivated Senior Software Manager to lead our software verification and automation for DOCA Networking SDK. We are looking for a candidate who can excel in a sophisticated, multidisciplinary environment, take ownership, and drive high-quality verification and automation processes. This position offers the opportunity to have a real impact on sophisticated, groundbreaking products, delivered by us and developed by our customers, empowering the most advanced data centers in the world. This role requires close collaboration with teams across various fields (SW, HW, QA) to elevate our product to the next level.

What you'll be doing:

Lead teams of software verification engineers, providing technical direction, career development, and performance mentorship.

Define and continuously refine our software testing methodology and processes.

Engage in a hands-on approach, actively participating in the design, coding, and debugging of verification tests and infrastructure alongside your team.

Lead the verification process, ensuring the functionality, stability, and performance of our DOCA networking SDK and the solutions on top of it.

Work closely with internal and external customers to understand system use cases.

Analyze coverage measures to identify verification gaps and provide data-driven insights into product development and release readiness.

Required Data Scientist, Product Analytics
As a Data Scientist, you will shape the future of people-facing and business-facing products we build across our entire family of applications. By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining us, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and us. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.
Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist, Product Analytics Responsibilities
Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.

We are looking for a Senior DevOps Engineer to join our fantastic team!
Responsibilities:
Develop and Architect our SaaS platform
Working with an extensive range of cloud infrastructure tools (multi-cloud: AWS, Azure & GCP), both for our cloud-based infrastructure but mainly due to our comprehensive support of cloud technologies for our clients
As our customers include Fortune 500 companies, we face the challenge of working with immense amounts of data - Petabytes over Petabytes. As a result, our scale of operation is immense and requires us to use highly scalable infrastructures for our system.
Monitor, troubleshoot, and resolve production-grade issues. Configure the system and application aspects.
Develop architectural POCs
Work on a microservices architecture
Automate everything, keeping it DRY
Assist and work closely with the team across R&D
Work on our next-generation cloud-native applications

Our IT Business Applications team is seeking an expert SAP professional to join their team which supports Operations and Purchasing. The ideal candidate would have minimum hands-on experience of 10+ years in SAP Production Planning & Materials Management. This role would require working very closely with various business teams that include boards manufacturing, Procurement and other Operations teams.

What you will be doing:
Collaborate with business users to understand their requirements, provide system solutions for sophisticated and exciting business problems
Working on multiple internal Projects as a team member or lead to implement new functionalities and improve existing functionalities including articulating, analyzing requirements, and translating them into effective solutions, in Project Systems and Inventory Management.
Architect SAP system solution & Config system in SAP PP / MM configuration and support the processes already implemented.
Collaborate heavily with onsite-offshore resources including Multi-functional, BSAs, DEV, technical team members to prioritize, co-ordinate and architect/ Implement the solution.

Come join the company building the security operating model for the age of AI. AI has changed how data is used - and security must change with it. our company's mission is to empower businesses to accelerate AI Adoption by defining a holistic approach to securing AI - from data to access to model. Instead of perimeter controls and static policies, our company' provides a unified control plane that understands relationships between data, access, and behaviors across humans, systems, and AI. Backed by the worlds leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data and AI security.
Responsibilities:
Direct contribution to the company codebase as part of a product team.
Identifying, documenting, and communicating technical improvements within your area of responsibility in the team
Close collaboration with technical (backend, QA & infrastructure) and non-technical (product, design) roles to understand and challenge end-user requirements and ultimately translate these into practical technical
Participating in cross-team engineering initiatives as an individual contributor.

We are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer, Machine Learning Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

We are looking for an AI Test Architect joining E2E Verification group to profile Innovative large scale Distributed training on NVIDIA AI End-to-End solutions in a large scale supercomputing clusters. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated Computing and Deep Learning software and hardware platforms, with researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, Switch, HCA, CPU and GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What youll be doing:

Profiling, benchmarking, and analyzing deep learning models to identify areas for optimization and improvement in terms of performance, efficiency, and accuracy, with a strong emphasis on networking aspects.

Collaborating closely with data scientists, researchers, development, automation teams to design and implement scalable training pipelines and frameworks that demonstrate large scale high -performance networking capabilities.

Staying up-to-date with the latest advancements in deep learning algorithms, architectures, NVIDIA GPU technologies, and high-performance networking solutions.

Optimizing deep learning models for performance, memory usage, and power efficiency while maximizing high-performance networking features on NVIDIA supercomputers.

Providing insights and recommendations based on the analysis of large-scale training results, specifically focusing on networking bottlenecks and optimizations, to improve model outcomes and achieve business objectives.

Collaborating with hardware engineers to guide the development and integration of efficient networking solutions for deep learning, including exploring network architecture optimizations and bringing to bear technologies such as RDMA or InfiniBand.

We are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer, Product Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

We are seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of industry veterans and working on exciting projects that have a significant impact, we encourage you to apply.
Software Engineer, Machine Learning Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Develop reusable software components for interfacing with back-end platforms
Analyze and optimize code for quality, efficiency, and performance
Lead complex technical or product efforts and provide technical guidance to peers
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding.

Required Technical Program Manager
The Technical Program Management community is pioneering technologies to bring people (and businesses) closer together at a global scale. Technical Program Managers work at the cross-section between technical execution and business strategy and are expected to partner closely with Engineering, Product, and other cross functional teams. Being a TPM means driving impact by delivering measurable results across a wide range of areas. You'll be responsible for defining and guiding high-level goals and roadmaps, monitoring and communicating progress, and defining requirements for new products and features. It also means having a technical background, understanding system architecture, and the experience to effectively collaborate across functions and organizations to deliver impact.
You will be leading technical strategy and execution on the company-wide platforms and services that are used across. Teams span across Ads, Business Integrity, Monetization, Commerce, Business Messaging, Privacy, Social Impact, Central Integrity, Growth, Central Metrics, Internationalization, Platforms for Family of Apps, Groups, Search, Foundation, Infrastructure, and other areas. This posting represents different full-time roles across the company.
Technical Program Manager Responsibilities
Drive complex programs fully autonomously, creating structures that drive efficient execution
Manage and own cross-functional products and programs execution in a matrix organization
Drive and influence technical and product strategy, proactively identify risks and develop mitigation strategies, align on priorities, and set direction for a broadly cross-functional area
Help define the roadmap and long-term strategy of the teams that you are working with
Design measurements to track impact and drive internal process improvements
Define goals and milestones for your programs with clear technical strategy"
Collaboratively define the strategy for building scale, state-of-the-art, global products
Develop and manage end-to-end project plans to ensure on-time delivery, provide day-to-day coordination, and quality assurance for tasks
Move fast in a flat organization by working in concert with technical program managers, product managers and engineers across to establish a shared vision for improving execution and building solutions
Ongoing communication of planning, project status, issues and risks in a timely fashion to stakeholders
Help drive product decisions to align with higher company initiative
Establish shared goals with product teams across the company to build alignment across multiple cross-functional teams and to build and scale products for us.

Were looking for an exceptional Digital Adoption Solutions Engineer to help take internal digital adoption projects to the next level. As a Solutions Engineer, youll help bring our products to life by focusing on delivering high-quality technical implementations according to pre-defined business objectives and designing user experiences.
The Solutions Engineer will be an integral part of the DAP CoE and will be responsible for high-visibility internal projects, spanning all company departments and giving exposure to many different roles and functions within and beyond.
The Center of Excellence (CoE) leads internal cross-departmental digital adoption, operational excellence projects and continuous improvements through digital transformation, software implementation and process design, from initiation to implementation, promoting continuous improvements in mindset and culture.
Within this framework, the DAP function (Digital Adoption Platform) is specifically tasked with implementing our own software internally on SAP systems, to support Digital Transformation and Change Management in a way that helps drive our employees work more efficiently and effectively.

Are you ready to start an exciting career path in high-tech and become an expert on all products and features?

What will you actually be doing?
Collaborate globally on a daily basis with our internal Ops teams (Sales, Marketing, CSG, HR, Finance etc) to understand their business needs and provide based solutions to their problems.
Build DAP solutions addressing both Operational and strategic requirements as well as the talk track around KPIs and Value Realisation. You will take a business process and provide both a solution and suggestions for further improvements, making sure you help each team achieve their departmental Big Rocks.
Collaborate with Support, our Product and R&D teams to provide feedback on existing features, testing and providing feedback on new ones as well as maintain both our Production and Test environments to always be stakeholder ready.
Deliver DAP focused case studies, references, and showcase SAP and implementation relationships to show the value of solutions externally.
Participate in Community-led and Marketing-led webinars to show How does on SAP and support thought leadership on the subject.
Report on departmental DAP status for circulation to TechOps and ELT.
Continuously identify opportunities for improvement to refine our solutions and generate meaningful practices with attention to measurements and detail.
Maintain/Support existing business solutions and processes through environment changes or process changes.
Adapt in an ever-changing environment to generate a meaningful impact across multiple business units.

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.