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Requirements:
What do we want to see?
B.Sc. in Computer Engineering / Computer Science or equivalent
At least 5 years experience in implementation and design of SW / SW+HW systems (mainly in C / C++)
Hands on experience with compilers design, architecture and implementation
At least 3 years experience using LLVM / MLIR
At least 3 years proven experience working with GPU instruction set architecture
At least 3 years proven experience using compilers for optimizing given AI models to run on GPU
System view, together with profound understanding of related technologies
Hands-on system design and PoC bring-up experience
Excellent communications skills and ability to work as part of an international team
Innovation, fast learning skills
Ways to stand out from the crowd:
M.Sc. or Ph.D. degree with expertise in fields related to compilation / static analysis / AI model optimizations
Experience in Triton compilation
Experience in working with Torch Inductor
Proven experience in optimizing applications performance
Proficiency in C++ programming language
Understanding in multiprocessing and multithreaded code.

Requirements:
MSc or BSc in computer science/EE or area related to computer architecture, or equivalent research experience in industry
At least 7 years of relevant research and development experience in industry and academia in the following areas:
Computer architectures: instruction set architecture, microarchitecture, cache sub-system, memory sub-system, NOC, interconnect
Workload characterization and analytical model generation
System Modelling and emulation of HW.
Simulation of Software workloads and Software applications on HW simulator
Ability to provide innovation and global vision throughout the company
Excellent communication, presentation and reporting skills
Experience working with highly technical teams and communicating to non-technical partners.
Excellent oral and written English.

Requirements:
B.Sc. degree in computer science, computer engineering, or a closely related field
5+ years of experience in AI kernel and performance optimizations
Excellent C/C++ programming and software design skills, including debugging, performance analysis, and testing
Strong technical skills and experience with developing code in a Linux environment
Excellent teamwork and interpersonal skills
Ability to work independently, define project goals and scope, and lead your own development effort
Innovative thinking
Ways to stand out from the crowd:
M.Sc. or Ph.D. degree
Proven track record of conducting and publishing independent research
Experience in optimizing distributed deep learning pipelines with TensorFlow / PyTorch
Experience in analyzing workloads on large scale heterogeneous clusters
Hands-on experience in developing code to target heterogeneous architectures (e.g. CPU/GPU/TPU)
Experience in developing and contributing to large open-source libraries.

Requirements:
BSc or higher degree in Computer Science/Engineering or related discipline from a leading university. (Alternatively, exceptional proven track record in similar tasks)
5+ years of experience in one or more of following disciplines: definition of CPU architectural features, HW/SW co-design (or SW defined HW), Low level performance profiling and optimization of SW with exposure to CPU ISA.
Fluent spoken and written English
Behavioral skills: Team player. Although this is not for a manager position, we require interpersonal skills needed to lead partners and colleagues towards achieving a technical goal

Advantageous qualifications:
Familiarity with dense compute workloads and analysis (e.g., AI, HPC, financial, etc.)
Familiarity with Vector Architectures.

Requirements:
B.Sc. in Electrical Engineering
Experience in defining architectures DSP/CPU/GPU processor cores is an advantage
Experience in HW acceleration of AI
Architecture modeling experience is an advantage
System C knowledge is an advantage
10+ years in VLSI architecture and design (less can be accepted in case of a unique candidate)
Skills
Good interpersonal skills
Very good technical skills
Team player
Creative
Independent and self-learning.

Requirements:
MS or PHD in Electrical Engineering, Computer Engineering, or Computer Science.
Minimum of 10 years of proven design experience in complex processor projects.
Familiarity with the ARM architecture and the micro-architecture for current ARM CPU cores.
Software development (C, assembly).
Experience modeling microprocessors using higher-level languages, like C/C++.
Excellent verbal and written communication skills.
Co-operate and communicate well with the architecture team and other members of development team.
Interact with the Product System architects, software teams and ASIC chip teams to define the overall architecture of the Processor ASIC including memory hierarchy.
Travel to US, Beijing and ShenZhen sites may be required.
Good presentation and internal customer interaction skills
MINIMAL REQUIREMENTS
Solid understanding of general purpose CPU micro-architecture, including knowledge of areas such as processor pipelines, load store unit, caches, cache coherence, memory hierarchy, multi-processor, multi-thread processor systems.
Ability to make trade-offs between power, performance and area appropriately to meet the requirements of the product.
Hand-on experience with high power-efficient CPU core successfully.
Understanding of CPU instruction set architecture and assembly language.
Ownership of the overall verification methodology for a CPU project.

Requirements:
BSC, MS or PHD in Electrical Engineering, Computer Engineering, or Computer Science.
Solid understanding of general purpose CPU micro-architecture, including load store unit, caches, cache coherence, memory hierarchy, multi-processor, multi-thread processor systems, memory technologies and memory controllers.
Ability to make trade-offs between power, performance and area to meet the requirements of the product.
Hand-on experience with high power-efficient CPU on chip interconnect, coherent fabric, memory controllers.
At least 8 years experience in architecture in one of the leading CPU companies
Experience modeling microprocessors using higher-level languages, like C/C++.
DESIRED
Co-operate and communicate well with the architecture and design teams.
Interact with the Product System architects, software teams and ASIC chip teams to define the overall architecture of the Processor ASIC including memory hierarchy.
Travel to Beijing and ShenZhen sites may be required.
Good presentation and internal customer interaction skills.

Requirements:
Bachelors Degree in a Science or Engineering related discipline.
Scripting and coding skills and experience with one of the following: JavaScript / Python / PHP / Go / Java / equivalent.
Good understanding of databases, data structures with emphasize on RDBMS (SQL).
Practical Experience in Software QA - Advantage.
Experience using Playwright, Jest, Selenium, Postman and similar tools - Advantage.
Thorough and diligent personality.
Ability to multi-task and meet deadlines.
Able to work well independently but must also work as part of a team.
Strong organizational management and planning skills.
Good interpersonal, written, and oral communication skills in English.
Personal Qualities:
Passionate about learning and always seeking opportunities to expand your knowledge
A self-starter with great instincts and the ability to discern upcoming needs
Outgoing and personable and takes pride in being a positive, helpful presence around the office
A team player with the time management and organizational skills to work independently as well

Requirements:
Technical Skills
Strong background in IT infrastructure, cloud platforms, and system architecture.
Experience with AI platforms, AI APIs, or agent-based systems.
Hands-on experience with automation and workflows tools (e.g. Workato, CI/CD, IT automation).
Familiarity with monitoring, observability, and cost management tools.
Understanding security, compliance, and governance in enterprise IT environments.
Soft Skills
Ability to translate business needs into technical AI solutions.
Strong collaboration skills across IT, security, and business teams.
Structured, architecture-level thinking with hands on execution ability.
Proactive mindset with ownership over AI enablement and automation outcomes.
Experience with AI agents, copilots, or LLM-based systems.
Knowledge of FinOps or cost management for cloud/AI services.
Experience in IT operations, ITSM, or enterprise business applications.
Familiarity with data pipelines and analytics platforms.

Requirements:
5+ years of Networking experience, preferably in datacenter environments / as Network QA Engineer
Knowledge of networking protocols: BGP, VLAN, EVPN/VXLAN, QOS - Must
Experience testing network hardware (switches, NICs, cables) and software integration
Experience with capturing traffic and deep knowledge of Ethernet/IP/TCP/UDP headers
Experience with networking concepts that influence traffic characteristics, such as Tunneling, NAT, QinQ, MTU, PMTUD
Experience with performance testing tools and traffic generators such as Ixia/Spirent
Linux Proficiency: In-depth knowledge of Linux, with testing experience
Containerization: Experience with Docker
Expertise in testing methodologies and hands-on experience with testing tools
Preferred Qualifications:
Experience in testing AI Network solutions based on Infiniband or Ethernet
Knowledge in RoCE and AI DC Solution Designs
Knowledge in SONiC OS architecture and Linux networking stack
Experience with smart NIC programming and testing
Experience with network simulation tools (containerlab)
Experience with large-scale datacenter testing environments
Proficiency in Python scripting for test automation.

Requirements:
Bachelor's or Master's degree in Electrical Engineering with 8+ years of relevant experience in hardware/board design- Must.
Expertise in PCB technology and layout for both analog and digital circuits, including stack-up, placement, routing, and signal/power integrity (SI/PI) for high-speed (ETH112G, PCIe Gen5, DDR5, etc.) and high-power systems.
Hands-on experience in high-precision signal measurement and system engineering.
Strong troubleshooting skills, with the ability to diagnose issues, identify root causes, and implement corrective actions.
Excellent verbal and written communication skills in English, enabling collaboration with design, evaluation, and production engineers, customers, technical marketing engineers, and program managers.
In-depth understanding of system architecture.
Programming knowledge and experience (a plus but not required).

Requirements:
BSc degree in Computer Science or Engineering
Proven working experience (at least 5 years) in software engineering
Excellent programming skills in C/C++
Previous management experience would be a strong plus.
Good understanding in networking and network protocols such as IP, TCP, UDP (edited) -advantage
Advantage: Experience in Routing Protocols such as BGP, OSPF, ISIS, RSVP-TE, LDP, MPLS and Traffic Engineering
Experience in hands-on development, debugging and troubleshooting on embedded targets
High level of independence and ownership - able to manage tasks and priorities autonomously and follow through on responsibilities without constant supervision
Strong interpersonal abilities - approachable, empathetic, and respectful in all interactions
Comfortable collaborating across teams and departments
Ability to give and receive feedback constructively
A true team player - supportive, active listener, and always ready to help Values transparency, openness, and trust in day-to-day work
Positive attitude, emotional intelligence, and the ability to build strong working relationships.

Requirements:
Deep networking know-how - preferably in the datacenter / AI domain - mandatory
Bachelor's degree in Computer Science, Engineering, or a related field - mandatory
AI Infrastructure, networking, cloud, datacenter background - a big plus
Excellent written and verbal communication, presentation, and interpersonal skills.
Proven ability to translate complex technical information into clear and concise marketing messages.
Ways to stand out
CCIE certification (or equivalent)
Experience benchmarking and analyzing networking solutions in an AI environment.
Deep understanding of with NVIDIA GPUs/systems, AMD GPUs/system, NICs, AI infrastructure architecture
Deep knowledge in datacenter and/or AI infrastructure network protocols, e.g., BGP, Cell-based fabrics, Clos fabrics, , VXLAN, etc.

Requirements:
* Minimum of 5 years of experience in hardware debugging, including servers, BMC, PCIe, IPMI, SAS/SATA/NVMe SSDs, JBODs, spinning drives, InfiniBand, firmware, PDUs, BBUs, and other related components.
* Expertise in Linux-based environments, with a strong command of system-level tools, logs, kernel interfaces, and debugging workflows.
* Solid understanding of electrical engineering fundamentals and computer networking concepts.
* Highly proactive, hands-on problem solver with a demonstrated “ownership” mindset, able to operate effectively both independently and within cross-functional teams.
* Proven experience working with large-scale, complex hardware products.
* Proven experience in scripting and automation using Bash and Python with the ability to build and support HW related platforms.
* Highly organized with strong attention to detail and the ability to manage multiple tasks simultaneously.
* Excellent verbal and written communication skills in English.
* Bachelor’s degree in Electrical Engineering, Computer Engineering, or an equivalent field
About Infinidat Infinidat’s enterprise storage portfolio provides global Fortune 500 enterprises and service providers with best-in-class solutions for primary storage, next-generation data protection, disaster recovery, business continuity, and cyber resilience. Infinidat’s acclaimed InfuzeOS is the one of the most flexible and complete enterprise software-defined storage architectures in the industry. We recently announced powerful enhancements, an extensive expansion, and the dynamic evolution of our award-winning G4 enterprise cyber and AI storage solutions! Not only has Infinidat won 22 awards in the first half of 2025 , but has also been a 7-time winner of the Gartner® Peer Insights™ Voice of the Customer Award for Primary Storage and we can go on, and on, and on!