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Requirements:
What we need to see:
5-7 years of relevant legal experience including substantial time at a major law firm and in-house experience supporting variety technological and commercial transactions.
Law degree from top law school.
Business fluency in English, both written and oral.
Excellent analytical, writing and presentation skills.
Ability to solve problems creatively and efficiently.
Excellent interpersonal skills.
Ability to negotiate positively and proactively.
Robust project management skills with devotion to details and organization.
Ability to work independently and be an excellent team player.

Ways to stand out from the crowd:
At least 3 years of pertinent in-house experience at a top semiconductor or high-tech company.
Demonstrated experience in technology and commercial deals.
Experience in intellectual property laws and licensing.
Experience in negotiating and drafting wide range of commercial agreements.
Passion for continuous learning, innovation, and technology.

Requirements:
What we need to see:

B.Sc. or M.Sc. in Computer Science, Computer Engineering, or Electrical Engineering.

Total of 5+ years of experience developing software tools for chip design/verification.

Proficiency in software engineering, with strong debugging and system design skills.

Strong communication skills and a proactive approach to working with users and cross-functional teams.


Ways to stand out from the crowd:

2+ years of hands-on experience in chip design or verification.

Proven ability to identify quality or efficiency gaps in design/verification workflows and deliver impactful methodology or automation improvements.

Experience in leading or contributing to cross-team technical discussions to define software solutions.

Passion for building usable tools, with deep understanding of user needs, pain points, and design/verification/debug scenarios.

Proficiency in Python.

Requirements:
What we need to see:

Practical / BSc in Computer Science or Electrical/Electronics Engineering.

Clear verbal and written communication, proficient in written and spoken English.

Self-reliant individual, capable of planning and carrying out tasks within their assigned area.

Personal: good interpersonal skills, quick learner, proactive, innovative, highly motivated, and committed.

Proven Experience in Python


Ways to stand out from the crowd:

Proven experience in QA - methodologies, and test design.

Working in a fast-paced environment with multiple parallel running activities.

Knowledge/experience in Networking protocols.

Knowledge of Linux/Windows OS.

Requirements:
What we need to see:

B.Sc. in Industrial Engineering/ Mechanical/ Electrical Engineering.

At least 8 years of experience in HW program management.

Excellent program management skills - familiar with project management methodologies and tools.

Ability to lead cross-functional teams and initiatives.

Good written and verbal communication skills in English.

Excellent written and verbal interpersonal skills to lead effectively across cultures and geographies.

Personal skills: Team player and strong problem-solving skills, independent, accountable, adaptive to changes in a fast-paced environment, ability to drive people and tasks, leadership qualities, excellent communication skills


Ways to stand out from the crowd:

Having experience in HW development, design, and manufacturing.

Knowledge of infrastructure (hardware and software) data center (electrical and mechanical) technologies.

Long-term planning and execution skills to carry our Networking solution lifecycle planning.

Proven technical leadership.

Experience in customer facing roles.

Requirements:
* Bachelor’s degree in Economics or Industrial Engineering and Management - mandatory.
* High level of English (reading, writing, and speaking) - mandatory.
* Significant managerial experience in global materials management, procurement, and supply chain operations - mandatory.
* Approximately 5 years of experience in a similar role within an industrial company. experience in the electronics industry is an advantage.
* Strong analytical skills and advanced proficiency in Excel.

Requirements:
What We Need to See:

BSc or MSc in Electrical/Computer Engineering, Computer Science, or Mathematics.

5+ years of managerial experience leading engineering teams in chip design or verification.

8+ years of industry experience in RTL design, functional verification, or related domains.

Strong understanding of chip design flows and verification methodologies.

Excellent leadership, analytical, problem-solving, and communication skills.


Ways to Stand Out from the Crowd:

Experience with formal verification tools and methodologies (e.g., JasperGold, VC Formal).

Background in assertions, coverage models, or formal testbench development.

Track record of building and scaling high-performing engineering teams.

A passion for recruiting, mentoring, and developing talent.

Requirements:
What we need to see:

M.Sc. or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.

+5 years of experience.

Strong ML/Data Science background with hands-on experience in LLMs or generative AI.

A systems-level mindset with the ability to estimate end-to-end requirements across the entire AI stack.

Proven ability to translate research and product requirements into clear software/hardware specifications.

Exceptional research skills: you can digest academic papers, self-learn new domains, and independently test hypotheses.

Advanced Python programming skills for performance modeling and data analysis.

Excellent communication skills, with the ability to present complex findings with clarity and conviction.

A pragmatic approach: you are detail-oriented but can prioritize effectively to focus on the most critical issues.


Ways to Stand Out from the Crowd:

Deep understanding of datacenter infrastructure, network topologies, and protocols.

Expertise in distributed training methods and their impact on infrastructure.

Knowledge of AI performance metrics and the impact of different deployment strategies.

Experience extrapolating academic research into tangible hardware architecture requirements.

A track record of leading complex, multidisciplinary research projects that result in production impact.

Requirements:
What we need to see:

BSc/MSc/PhD in Electrical/Computer Engineering, Computer Science, or a related engineering field from leading academic institute.

12+ overall years of experience in networking, solutions/field engineering, or network architecture related to data center operations

5+ years in management role.

Deep, hands-on expertise in data center fabric design: Clos/leaf-spine topologies, BGP, L2/L3 congestion signalling, datapath configurations, and L2/L3 switching at scale.

Proven understanding of RDMA networking: RoCE v2, InfiniBand semantics, congestion control (ECN/PFC/DCQCN), and the interaction between transport behavior and AI training communication patterns (all-reduce, all-to-all).

Proven experience with customer-facing technical roles - pre-sales architecture, field engineering, critical issues, or professional services - working with major hyperscalers or CSP accounts.

Demonstrated ability to lead distributed technical teams, set direction, and deliver results in ambiguous, fast-moving environments.

Excellent communication skills; ability to present to senior technical and executive collaborators.


Ways to stand out from the crowd:

Direct experience with NVIDIA Spectrum switches, ConnectX NICs, or BlueField DPUs in production or lab environments.

Familiarity with AI/ML training frameworks (PyTorch, NCCL) and how collective communication patterns work well with network fabric design.

Background in network telemetry, observability tooling, or adaptive routing algorithms.

Experience with multi-tenant AI fabric isolation, network slicing, or traffic engineering in GPU cluster environments.

Prior collaboration with ASIC or silicon teams on network feature definition.