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As a Sales Development Representative, youll build qualified pipeline for Airwallexs SME & Growth sales team across the Israeli market. Youll identify high-potential businesses, engage senior decision-makers through multichannel outreach, and run effective discovery to understand prospects business models, pain points and financial needs.

Build qualified pipeline by identifying high-potential businesses, verticals and market opportunities across Israel.

Engage senior decision-makers through cold calling, email, LinkedIn and other channels, using structured multichannel outreach sequences.

Progress qualified opportunities to Account Executives by understanding prospects business models, pain points, financial needs and commercial potential.

Partner closely with Account Executives on account strategy, handover and first-call preparation to create a seamless prospect experience and improve conversion.

Improve targeting, messaging, cadences and channel mix by using data and conversion performance to guide your approach.

Share field insights with Marketing and help build the SDR playbook in Israel as we scale SME & Growth sales motion.

we are hiring a senior physical Verification engineer to lead signoff-quality verification for advanced silicon programs. you will drive physical verification strategy and closure for complex designs, working across implementation, methodology, and signoff teams to achieve tapeout readiness. the role requires strong technical ownership, structured debug, and the ability to scale best practices across multiple programs. this is a great match for an engineer who wants to combine technical depth with broad project impact.
what you'll be doing:
own physical verification closure for major blocks or full-chip designs through tapeout.
lead debugging of complex drc, lvs, and reliability-related issues and drive high-quality resolution.
define verification check plans, signoff criteria, and closure priorities with cross-functional teams.
partner with physical design, custom design, and cad teams to improve quality and turnaround.
drive automation, methodology improvements, and best practices for scalable pv execution.
review results, coach team members, and help reduce repeated classes of violations.
we are 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. we will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. please contact us to request accommodation.

תיאור התפקיד:
location: misgav (gush segev) or the krayot area
we are looking for an experienced it architect to join our team and lead the design of end-to-end it infrastructure solutions for complex technological projects.
key responsibilities
design end-to-end it infrastructure architectures and solutions, including hld and lld documentation.
evaluate new technologies, conduct pocs, and develop reusable infrastructure solutions.
provide architectural guidance throughout the project lifecycle, from initial planning to delivery and implementation.
conduct technical reviews, resolve engineering challenges, and ensure alignment with organizational standards.
collaborate with development, devsecops, cybersecurity, it infrastructure teams, vendors, and technology partners.

תיאור התפקיד:
this role combines both manual and automation testing in a complex technological environment, with approximately 50% MANUAL QA and 50% Automation QA, while the long-term goal of the team is to continuously expand automation coverage.
the position includes close collaboration with development, DevOps, integration, and project teams, alongside external interfaces and multidisciplinary environments.
responsibilities
design, develop, and execute automated TEST plans for complex systems
perform both manual and automation testing for web, backend, api, and system -level flows
develop automation infrastructures, simulators, and testing tools
analyze requirements and define testing strategies and methodologies
investigate failures, manage defects, and produce TEST reports
work closely with multidisciplinary teams and external interfaces
participate in agile and ci/cd environments

תיאור התפקיד:
we are looking for a strong C ++ / Python software Developer to develop innovative software solutions in C ++, Python, and C #.
in this role, you will own and develop an sdk that sits at the heart of our animal-monitoring products. this is a high-impact, cross-platform role, working closely with algorithms and turning computer-vision and inference capabilities into a reliable, well-documented Developer platform.
we are looking for an engineer who cares about architecture, clean interfaces, performance, and long-term maintainability, with the ability to think fast, be innovative, work well as part of a team, and continuously learn.
responsibilities
design, develop, TEST, and maintain the sdk's C ++ core and its Python bindings, with a focus on performance, stability, monitoring, and a clean public api.
package and distribute the sdk with semantic versioning and reproducible builds across platforms.
collaborate with algorithm, product, and application teams to gather requirements, translate them into technical designs, and implement them.
write and maintain unit and integration tests and build tooling that keeps the sdk reliable as it grows.
conduct code reviews, identify and fix bugs, and continuously improve performance and code quality.
write clear technical documentation and examples so that other developers can adopt the sdk quickly.
work in an agile environment, research independently, think outside the box, and drive problems through to solutions.

job overview:
join our gpu hardware verification team in raanana, israel, and help shape the future of the world's most widely deployed gpu architecture - mali. as a staff hardware Verification engineer, you will play a key technical role in verifying advanced gpu components and subsystems, working alongside architects, designers and Verification engineers to deliver high-quality, industry-leading graphics technology. you'll contribute to complex verification environments, solve challenging technical problems and help drive continuous improvements to our verification methodologies and flows.
responsibilities:
develop and execute verification plans for advanced gpu components and subsystems.
develop and maintain ai tools, agents, and skills to support our engineering teams and workflows.
build, maintain and enhance robust verification environments using systemverilog and uvm.
apply coverage-driven, constrained-random and, where appropriate, formal verification techniques to achieve comprehensive functional coverage.
debug complex functional issues and work closely with design and architecture teams to identify and resolve root causes.
contribute to block-level and system -level verification, including environment integration and regression analysis.
improve verification methodologies, automation, scripting and continuous integration flows to increase quality and efficiency.
participate in verification reviews and support verification sign-off activities.
share technical knowledge and collaborate with colleagues across the wider gpu engineering organisation.

our central technology Machine Learning group is looking for highly motivated and creative software engineers to join the ml compiler development team!
you would join our diverse and dedicated team shaping the future of ai on our platforms. we work on all aspects of ml graph compilation - model ingestion, low-level hardware programming, efficient memory allocation and performance optimisation.
responsibilities:
you will contribute to the design and implementation of an ai/ml compiler and ensure that it integrates well with rest of our ml software stack.
we are looking for an engineer who has a desire to build knowledge, learn new skills, can adapt to a constantly evolving environment and who enjoys complex problem solving. given the impact and reach of this technology, you'll have an opportunity to collaborate with specialists across the company.
in return:
you will receive a competitive reward package which includes generous stock awards and a range of benefits to support your wellbeing. we strive to provide an open and accepting environment where you are encouraged to share your ideas and opinions, which enables collective innovation and creativity, and supports your professional and personal growth.
please note that no relocation package is available for this role.
our 10x mindset
we believe progress happens when people are empowered to think bigger and push beyond what seems possible. our 10x mindset is about curiosity, ambition and creating impact that will be used by millions. we learn fast, prioritise collaboration and turn bold ideas into real technology. we look for people who are inspired by this way of working and want to grow in an environment where bold ideas are welcomed.
use of ai in your application
we embrace the benefits ai can bring, including in recruitment. you may use ai to support your preparation, such as improving the clarity of written responses, practicing interview questions, or learning more about our industry. however, your application and interview responses must reflect your own thinking, experience, and abilities. we want to understand your authentic perspective, creativity, and approach to problem solving. as such, you may not use ai to complete assigned tasks as part of any assessments.
recruitment adjustments and accommodations
we want to build extraordinary teams. to note, by sending us the requested information, you consent to its use by us to arrange for appropriate accommodations. all accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. please email us about anything we can do to accommodate you during the recruitment process.
hybrid working.

job overview
were building software that helps Machine Learning and ai workloads run efficiently on the next generation of compute platforms.
our ml engineering teams are looking for experienced software engineers with strong C ++ skills and practical experience with Machine Learning frameworks such as pytorch.
the work sits at the intersection of Machine Learning, software and hardware. projects span ml frameworks and compilers, runtimes, drivers, Embedded software and performance optimisation, creating opportunities to work on complex engineering challenges across the ml software stack.
were hiring across several levels of seniority, with scope and technical leadership matched to experience.
interested in understanding what happens below an ml framework? curious about how software and hardware come together to make ai workloads faster and more efficient? this could be a great opportunity to explore both.
what you'll do
the team develops and optimises C ++ and Python software for Machine Learning workloads, working closely with ml software and hardware engineers to understand how models execute and where performance and efficiency can be improved.
the work could include ml compilation, pytorch integration, runtimes and drivers, performance analysis or Embedded software. there will also be opportunities to contribute to technical design, take ownership of larger engineering challenges and support the development of other engineers.

we are looking for a talent software engineer to join our ethernet switch sonic network os.
we have amazing gpus that power ai applications, but they also require a high-performance network to support them. as a team member, you will have the opportunity to create innovative software that optimizes ai networks for the best performance possible. in this position you will take part in sonic large worldwide community, contributing new features, bugs fixes and have our switch products running with sonic nos in production in different clusters over the world.
about sonic: https://sonicfoundation.dev/
what you'll be doing:
design and implement features as part of the sonic release train on top of our switch products
be part of our sonic r&d team, contribute code to sonic worldwide community
work in a continuous deployment environment of fast development/deployment cycles
work with experienced teams which are well known in the sonic community

the doca team is seeking a highly motivated and experienced engineer with hands-on technical expertise to develop the sdk for the next-generation data processing unit, with a wide range of features and Embedded systems. this position offers the opportunity to have a 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:
collaborate with skilled engineers to design and implement the doca sdk and infrastructure
take charge of end-to-end development for various features within doca
design and develop sdk libraries focusing on networking, Storage, and high-performance computing solutions
partner with major companies to address real-world challenges that demand innovative solutions and a customer-centric approach

we are looking for a senior software engineer to join our team developing the core technologies behind our smartnic platform. your work will directly impact next-generation ai infrastructure, cloud networking, and high-performance data centers used by customers around the world.
as part of the team, you will contribute to the doca sdk (our doca software framework), enabling developers to build hardware-accelerated, cloud-native networking and security applications. you will also collaborate on the Linux foundation's dpdk project, helping deliver industry-leading packet processing performance and scalable networking solutions.
what you'll be doing:
architect, design, and develop next-generation networking acceleration technologies.
build and enhance core software components within the doca sdk.
work closely with architects, customers, and engineering teams to understand requirements and deliver scalable, high-performance solutions.
collaborate across the software stack, including applications, virtualization, drivers, Linux Kernel, firmware, and hardware teams.
drive technical decisions and contribute to the design of performant, maintainable software.

the networking diagnostics team is seeking a highly motivated and experienced engineer. this person must have hands-on technical expertise to develop critical diagnostic tools for our newest, world-leading networking platforms. this position offers the opportunity to have a real impact in a dynamic, technology-focused company, impacting data centers and high-performance computing (hpc) clusters across the world. we are looking for independent engineers who excel in a fast-paced environment and are passionate about ensuring the stability of next-generation hardware.
what you'll be doing:
design & implement: architect and develop high-performance diagnostic tools and frameworks using Python, tailored for our latest networking platforms.
performance optimization: drive end-to-end development focusing on software that performs efficiently, ensuring diagnostic suites can handle high-throughput data and Real-Time monitoring without latency.
system diagnostics: take charge of developing features that bridge the gap between complex hardware behaviors and software-level diagnostics.
collaborative problem solving: partner with hardware, firmware, and driver teams to address real-world challenges that demand innovative solutions and a customer-centric approach.
autonomous execution: own the full software development lifecycle of diagnostic features, from initial hardware specification to deployment in dynamic environments.