דרושים » הנדסה » Interconnect Hardware Characterization Engineer

Requirements:
What we need to see:

BSc/MSc or equivalent engineering degree in Computer Science, Electrical Engineering, or a related field.

5+ years of related experience in software development and design.

3+ years of proven experience in Python development.

Excellent knowledge of a version control system (preferably GIT).

Linux based development.

Experience with Software/Hardware products integration and HW lab measurement equipment.

Experience with bringing up of large-scale automation solutions to large software teams.

Excellent communication skills with hands-on experience collaborating with global teams.

Self-motivation and a great teammate.


Ways to stand out from the crowd:

Excellent programming, debugging, performance analysis, and test design skills.

A highly motivated teammate who always stays up-to-date with new technologies and test methodologies.

Exposure and knowledge around application development, rest API development, configuration management and automation.

Experience in tools/services development. Creativity - find solutions for challenging requirements.

Orientation to Hardware and Experience in mechanics and automated JIGs.

Requirements:
What we need to see:

B.Sc. in Electrical Engineering.

3+ years of experience with Digital circuits, Power and High-speed design.

Good understanding of product/test HW/Test software/Mechanical integration.

Strong statistical and data analysis background (JMP or other tools).

Strong Scripting abilities and hands on Python experience.

Expert problem solving, multi-tasking and prioritization ability.

Ability to drive projects to full execution.

Strong presentation and interpersonal skills.

Self-Learner and a great teammate.


Ways to stand out from the crowd:

Background with electro optical devices (Lasers and Detectors).

Familiarity with high-speed fiber optics products, power circuits and filters design

Experience with IC Lab measurements using source meter, Scope, spectrum analyser, optical power meter etc.

Knowledgeable in DFT/DFM/DOE techniques.

Experience in electro optical assembly lines.

Requirements:
What we need to see:
B.Sc. in Electrical Engineering/Material Engineering/Chemistry Engineering.
3+ years of proven experience.
Strong problem solving and prioritization ability.
Strong statistics and data analysis background (JMP).
Good software skills, especially in scripting languages.
Strong presentation, communication skills.
Fast and fast learner, Multi-tasking and work under stress capabilities.
Good communication skills with diverse teams and functional groups.

Requirements:
What We Need to See:

BSc or MSc in Electrical or Electronics Engineering (with exposure to mechanical systems - a plus).

4 years of HW hands-on experience with validation or systems\modules repair up to components level - NPI leadership starting from early design phase to mass production of complex products.

Preferably in server, networking, or embedded systems.

3+ years working with ECO/ECR processes, board/system-level design, or sustaining engineering and or hands on systems\modules repair up to components level - preferred!

Solid understanding of mechanical interfaces, thermal considerations, and their influence on electronic systems.

Familiarity with DFT principles, signal integrity concepts, and production test environments.

Strong analytical skills, attention to detail, and ability to handle multiple change requests in parallel.

Excellent written and verbal communication skills in English.


Ways to stand out from the crowd:

Solid knowledge with products production process: SMT, assembly and tests (ICT, JTAG, functional tests.

experience in Agile PLM - advantage.

Requirements:
What we need to see:

5+ years of hands on DFT/ATPG experience knowledge & technical experience in DFT ASIC Design and in ATPG tools.

Strong programming skills in scripting languages.

BSc. in Electrical Engineering or Computer engineering.

Quick learner, proactive and self-motivated, eager to learn and contribute, sense or ownership, commitment, and responsibility.



Ways to stand out from the crowd:

Knowledge of DFT including scan, BIST, on-chip scan compression, fault models, ATPG, and fault simulation.

Experience in Mentor TestKompress ATPG tool and retargeting flow.

Programming languages: TCL, PRL, Phyton & Unix shell scripts.

Experience with ATE and Silicon bring-up.

Requirements:
What we need to see:

B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field.

5+ years of software engineering experience, preferably in system software, infrastructure, validation, or performance-focused environments.

Strong programming skills in Python and at least one system-level language such as C/C++.

Experience developing automation and test infrastructure for complex hardware/software systems.

Hands-on experience running, debugging, or optimizing AI, HPC, or large-scale system workloads.

Good understanding of system-level architecture, including interactions across hardware, firmware, drivers, operating systems, and application layers

Experience working in Linux environments and with scripting, telemetry, logging, and data analysis tools.

Strong debugging and problem-solving skills, with the ability to work across multiple engineering disciplines.

Good communication skills and the ability to drive technical work in a fast-paced, cross-functional environment.

Ways to stand out from the crowd:

Experience with our platforms, GPU systems, or rack-scale AI infrastructure.

Background in power, thermal, performance, or storage/drive characterization.

Experience with workload automation, cluster orchestration, or lab infrastructure.

Familiarity with AI benchmarks, training/inference workloads, and system stress methodologies.

Experience in post-silicon validation, production testing, or system bring-up.

Requirements:
What We Need to See:

Bachelor of Science or equivalent experience in electrical, chemical, or material science; other technical degrees will be considered.

8+ years preferred in leadership and manufacturing.

Strong program management background with hands-on experience in product quality, manufacturing, or reliability engineering.

Proven capability in leading cross-functional teams and resolving issues across various fields.

Proficiency in quality methodologies (8D, FMEA, SPC, DOE) and familiarity with quality systems.

Self-starter with strong ownership, prioritization, and problem-solving skills.

Excellent communication, leadership, and collaborator management capabilities.


Ways to Stand Out from the Crowd:

Experience in hardware design, manufacturing, and sustaining quality.

Experience in data center, optical device manufacturing and design.

Strong problem-solving skills and analytical ability, processes oriented.

Ability to lead multi-functional teams and initiatives.

Personal skills: Great teammate and strong problem-solving skills, independent, accountable, adaptive to changes in a fast-paced environment, ability to drive people and tasks, leadership qualities, excellent interpersonal skills.

Requirements:
What We Need to See:

BSc/MSc in Computer Science, Communication Engineering, Software Engineering, or equivalent experience.

12+ years of experience in R&D, architecture, and program management, with primary focus on product management leadership in Data Center Networking with proven track record in defining and driving both inbound and outbound product strategy across complex technologies and cross-functional organizations.

MBA or similar experience, with a balance of technical and business knowledge.

Deeply versed in hardware-accelerated networking protocols (RDMA, ETH, and more), technologies (DPDK, OVS, and more), and full Product-solutions in Data Center and Cloud environments.

Strong ability to deliver complex, Linux-based networking software frameworks and SDKs specifically architected for cloud providers, hyperscalers, and large-scale enterprise deployments.

Translate global customer and business insights into high-impact networking solutions, bridging the gap between deep technical requirements and long-term strategic goals.

Proven experience driving vision into reality by navigating complex, global organizational matrices, using exceptional communication to align cross-functional engineering and product teams.

Highly motivated, fast learner, and a team-player.


Ways to Stand Out from the Crowd:

Strong background in Data-Centre clusters and topologies, AI-driven networking, storage, security, and orchestration techniques.

Hands-on experience with networking infrastructure and DPU architecture, programmable networking pipelines, and NVIDIA technologies (CUDA, embedded solutions), with deep platform ecosystem knowledge

Proven leadership in complex hardware/software systems development, Including: SW, embedded SW, and HW. Supplying complete solutions: from the networking infrastructure, through SDKs and services, and into the application-level.

Success in partnering with Tier-1 customers on networking and cloud infrastructure deployments.

Extensive product management experience in international organizations, with a focus on adaptability and cross-cultural collaboration as well as vast experience as a R&D manager, or engineering program manager.

Requirements:
What we need to see:

B.Sc. in Computer Science, Electrical Engineering, Computer Engineering, or a related field.

5+ overall years of industry experience in system programming or related fields.

Understanding of multi core hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers, real-time.

Excellent programming skills.

Ability to learn complex concepts in a fast pace environment.

A teammate with a can-do attitude, high energy and excellent interpersonal skills.


Ways to stand out from a crowd:

Familiarity with networking protocols.

Hands-on experience with CUDA programming and GPU acceleration.

Hands-on experience with LLM serving frameworks.

Experience with open-source projects (coursework, personal, or contributions).

Working in a fast-paced and dynamic environment.

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.