לוח משרות דרושים, לחיפוש זה נמצאו 34,528 משרות

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.

job overview:
as a senior Verification engineer, you will join the gpu hardware verification team in raanana, israel, responsible for verifying mali graphics processors - the worlds most widely shipped gpu. in this role, you will contribute to the development of next-generation gpu technology by implementing advanced verification methodologies, building robust verification environments, and collaborating closely with architecture, design, and product teams to deliver high-quality ip.
responsibilities:
define and develop verification plans and strategies for complex gpu components and subsystems.
design, implement, and maintain verification environments using systemverilog and uvm.
develop verification infrastructure including agents, testbenches, and reusable components.
analyze coverage, debug complex issues, and drive closure of verification goals.
collaborate with architecture, design, and product teams to ensure functional correctness and product quality.
required skills and experience:
b.sc. in electrical engineering, computer engineering, Computer Science, or a related field.
5+ years of experience in hardware verification, including methodology development and implementation.
strong knowledge of systemverilog and uvm-based verification environments.
experience with random and coverage-driven verification techniques.
experience working in Unix / Linux environments, including scripting (e.g., Python or PERL ) and ci workflows.
nice to have skills and experience:
experience with our processors or gpu architectures.
knowledge of design for verification (dfv) techniques.
background or exposure to logic design.
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
our approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. we believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the teams needs. details of what this means for each role will be shared upon application. in some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution.

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

we are looking for an excellent, highly motivated sw verification manager to join the software verification team in the data processing unit (dpu) sw group. in this role, you will lead a team of highly skilled Verification engineers, combining people management, technical leadership, and execution. we are looking for a candidate with a strong quality-oriented mindset, the ability to thrive in an environment with complex software and hardware designs, and a passion for deep-dive verification of key dpu components. the role includes working closely with hw, fw, and sw teams all over the world, and taking our product to next level.
what you'll be doing:
lead, mentor, and grow a team of software Verification engineers, fostering a culture of technical excellence, ownership, and professional development.
provide technical leadership and hands-on mentorship, driving the design and implementation of comprehensive verification plans and automated environments using Python.
lead end-to-end feature validation, from architectural review to final system integration, ensuring robust hw-sw interoperability for high-end hardware and software.
ensure high product quality by conducting code reviews, defining engineering procedures, and identifying, analyzing, and reporting software defects.
drive improvements for performance, quality, and stability around sw acceleration solutions, taking an active part in integration and verification with r&d.
partner closely with cross-functional teams (hw, fw, sw architectures, and product) across multiple engineering organizations worldwide.

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 mechanical engineer to join our mechanical engineering department as a key player in the development of next generation network products. this key position includes leading the product and fixtures design, close interaction with hw, pmc (product management & configuration), npi, thermal, layout, quality and supply chain groups.
our networking division is a leading supplier of innovative end-to-end infiniband and ethernet connectivity solutions and services for servers and Storage. we offer market-leading solutions that include adapter cards, switches, cables, and software to support networking technologies. our products optimize data center performance and deliver industry-leading bandwidth and scalability. in addition, we serve a wide range of sectors including high performance computing, enterprise, data centers, cloud computing and web 2.0. we are constantly reinventing ourselves to stay ahead of the market and bring groundbreaking products and services to the industry. our product line is focused on delivering the most optimized ethernet solutions for industries like media and entertainment as well as any other industry that can benefit from our datastream and tcp/ip acceleration.
what you will be doing:
drive multiple early design concepts while working in fast-paced product development cycles.
independently lead product design from concept, through detailed design, and support it during qualification, npi and mp stages.
join and lead task forces to investigate and support production excursions, failure analysis and reliability issues.
collaborate in research of groundbreaking technologies, materials, and processes with other groups to bring in creative ideas that solve ever growing needs.

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.

in this role, you will build and lead a team of validation engineers, owning the strategy, methodology, and execution of simulation-based validation frameworks that ensure our networking solutions meet the highest standards of quality, scale, and real-world applicability before reaching customers.
what you'll be doing:
leading and managing a team of network validation engineers responsible for end-to-end validation of our customer-facing networking solutions at scale, using a dedicated e2e simulation cluster environment.
defining the overall validation strategy and roadmap - establishing simulation methodologies, TEST coverage frameworks, and quality gates that align with product milestones and customer use cases.
pioneering the use of agentic ai flows within the validation organization - leading the team to design, build, and operate ai-driven agents capable of autonomously performing regression analysis, identifying coverage gaps, generating new TEST cases, and implementing validation code. these agentic workflows will continuously learn from simulation results and product changes, dramatically accelerating the team's ability to scale TEST coverage and respond to emerging quality signals without manual intervention.
overseeing the design and continuous improvement of automated regression suites for networking protocols and large-scale simulation runs, ensuring scalable, repeatable, and high-confidence validation outcomes.
establishing a rigorous regression analysis culture - guiding the team in identifying trends, root causes, and systemic coverage gaps, and ensuring timely resolution in collaboration with engineering stakeholders.
serving as the primary validation partner to design, architecture, and ncs teams - translating solution requirements into simulation scenarios, providing early-cycle quality feedback, and influencing product direction.
analyzing customer-reported networking solution issues, driving TEST gap analysis, and ensuring robust regression coverage that prevents recurrence.
staying current with emerging networking standards, simulation technologies, and industry best practices to continuously evolve the team's validation capabilities.

our israel is seeking innovative and driven applied researchers in the field of deep learning. we are looking for candidates with a consistent track record of research excellence; a broad perspective across the fields of artificial intelligence; and deep experience in Machine Learning, applied science, and computational medicine. we are a world leader in high-performance and mobile computing technology for ai, with ambitious plans for future systems. this position offers the opportunity to have a real impact in an applied research-focused team in a dynamic company.
the applied ai architecture group focuses on applied research. as a member of the team, you will publish your work and share code as an open source. in addition, you will join a groundbreaking initiative at the intersection of ai and biology. this collaborative project aims to develop both foundational and generative ai models, as well as agentic ai systems, redefining our understanding of complex biological systems and enabling advanced diagnostics and novel scientific insights, while strengthening our health platform ecosystem.
what you'll be doing:
conceptualize, design, and implement novel deep learning architectures for biological data, with a strong focus on large-scale models such as large language models (llms), transformers, and state space models (ssms).
develop multimodal learning systems that integrate heterogeneous data types (e.g., clinical time-series, imaging, genomics, and text) for improved representation and prediction.
develop both foundational and generative models and agentic ai systems, including multi-step reasoning, tool use, and autonomous decision-making capabilities.
develop digital twin systems for healthcare, combining mechanistic models, physiological data, and ai to simulate disease progression, treatment response, and patient-specific trajectories.
implement deep learning systems integrated with agents, enabling end-to-end workflows that combine learning, planning, and execution.
evaluate model performance, analyze results, and iterate on designs to achieve optimal outcomes.
apply your knowledge of distributed training to build high-quality code for training, optimizing, and deploying large-scale models, while managing complex datasets.
collaborate closely with a diverse team of researchers, bioinformaticians, and domain experts in a highly interdisciplinary environment.