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Requirements:
* Certified Public Accountant (CPA) - mandatory.
* At least 3 years of experience in accounting or financial control.
* Experience in a Big 4 accounting firm.
* Strong knowledge of IFRS and tax regulations.
* Advanced Excel skills.
* Strong analytical skills and attention to detail.
* Excellent interpersonal skills and ability to work collaboratively.
* Ability to work under pressure and meet tight deadlines. Advantages
* Very high level of English (written and spoken).
* Experience with ERP systems (Priority / NetSuite).
* Previous experience in a high-tech company.
* Proactive approach and high self-motivation.

Requirements:
What we need to see:

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

20+ years of industry experience in systems design, distributed systems, system software, or related fields.

Chief Scientist, CTO, or equivalent senior technical leadership experience in smaller companies is highly desirable.

Deep background in distributed systems, parallel computation, networking, storage, virtualization, and memory management.

Experience building, scaling, and supporting environments for massive AI workloads.

Strong understanding of large-scale systems operational aspects, including performance, reliability, scalability, and supportability.

Excellent communication, collaboration, and technical leadership skills in a multi-national, multi-time-zone environment.


Ways to stand out from the crowd:

Proven research track record in AI systems, large-scale infrastructure, or advanced systems co-design.

Deep expertise in GPU systems, RDMA, NVLink, and storage technologies for AI and HPC workloads.

Strong record of cross-functional influence spanning hardware, system software, networking, and infrastructure.

Requirements:
What we need to see:

B.Sc, M.Sc, or Ph.D degree in Computer Science, Computer Engineer, or Electrical Engineer.

At least 5 years of industry or research experience in computer networks.

Excellent understanding of large-scale networks behavior and the effect of distributed computing workloads effect on the network.

Experience in developing models for simulations, analyzing simulation results and development of optimization algorithms.

Possess strong managerial, problem solving and critical thinking skills.

Ability to work and operate in a highly dynamic environment.

Partner with multiple groups in the organization.


Ways to stand out from the crowd:

Good knowledge in network protocols - such as InfiniBand, IP, TCP and RoCE and network topologies.

Good knowledge in Python, C++.

Familiarity with HPC environments, routing algorithms, Omnet++ and NS3 simulation environments.

Requirements:
What we need to see:

B.Sc. or M.Sc. in Electrical or Computer Engineering, or relevant professional experience.

At least 2 years of confirmed experience in SoC design, design automation, or methodology development.

Strong programming or scripting skills in at least one language (Python preferred; Perl, Tcl, or Make are advantages).

Understanding of physical design concepts including placement, routing, timing closure, and ECO implementation.

Familiarity with EDA tools for synthesis, place-and-route, and timing analysis (Synopsys or Cadence flows).

Strong analytical, problem-solving, and soft skills.


Way to stand out from the crowd:

Experience developing or maintaining SoC design or automation flows.

Knowledge of timing-related analysis (crosstalk, noise, delay).

Background in power or timing optimization techniques.

Collaborative attitude with the ability to work effectively across multi-functional teams.

Self-motivated and eager to learn while improving existing design flows.

Requirements:
What we need to see:
M.Sc. or PhD. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.
12+ years of deep experience in software architecture, systems design, and applied research.
8+ years of proven leadership, building and driving high-performing engineering teams in fast-paced environments.
Strong expertise in AI inference technologies, frameworks, and large-scale distributed systems.
Hands-on experience with networking protocols (e.g., TCP/IP, RDMA, RoCE, InfiniBand) and data center networking architectures.
Deep familiarity with AI DC architectures, hardware acceleration technologies, and SDKs (e.g., DOCA, CUDA or similar).
Experience with AI data center design, including compute, networking, and AI storage systems.
Exceptional communication and influence skills, with a demonstrated ability to align stakeholders and drive decisions across complex organizations.

Ways to stand out from the crowd:
A track record of aggressively prototyping, validating, and scaling new ideas into production.
Strong foundations in system software, including operating systems and low-level architecture.
Experience with hyperscale cloud and AI data center environments.
Expertise in AI storage systems, high-performance computing (HPC), and end-to-end accelerated infrastructure.

Requirements:
Requirements
* 5+ years B2B international sales experience in startups - mandatory
* Strong technical orientation with multidisciplinary products
* Background in rail, safety systems, or smart transportation
* Fluent English; additional languages an advantage
* Familiarity with HubSpot CRM

Requirements:
Must-Have Requirements
BA/B.Sc. from a leading university.
5+ years of experience in QA, System QA, or Integration QA for complex distributed systems.
Required Certifications: Must hold recognized industry certifications proving baseline competence, including an active ISTQB Foundation Level certification (or equivalent) AND at least one recognized Networking or Security certification (e.g., CCNA, CompTIA Network+, or CompTIA Security+).
Test Automation: Hands-on experience maintaining, and scaling automated test suites (Python heavily preferred, Pytest, or similar frameworks).
Multi-Component Testing: Practical experience testing distributed systems and API- driven architectures.
Core Networking: Solid understanding of TCP/IP, port routing, VPNs, secure tunnels, and client-server models.
Infrastructure & Observability: Strong Linux proficiency. Experience with containerization (Docker/Kubernetes) and log aggregation/telemetry tools (e.g., ELK Stack, Grafana, Prometheus, Datadog).
Protocol Knowledge: Practical understanding of REST APIs and WebSocket communication.
Cross-Stack Validation: Experience testing modern Web applications and backend services simultaneously.
Big Advantage:
Experience working with SDR (Software Defined Radio) or RF-based systems.
Background in cybersecurity, secure communication protocols, or encrypted networks.
Experience with Non-Functional Testing (Performance, Load, Stress) using tools like JMeter or Locust.
SQL experience, specifically with analytical or time-series databases.
Military defense-system, intelligence sector, or field-deployment background.
Hands-on experience developing, maintaining, and scaling automated test suites.

Requirements:
B.Sc. in Electrical Engineering / Electronic Engineering or a related technical discipline.
5+ years of experience in RF system testing and validation.
RF Technical Skills: Deep understanding of RF parameters and concepts: S-parameters, EVM, BER, NF, P1dB, Phase Noise, Link Budget. Hands-on experience with high-end RF test equipment (Keysight, Rohde& Schwarz, Anritsu).
Strong troubleshooting skills in multi-disciplinary systems involving RF, HW, Embedded SW, and Linux environments.
Creative, hands-on approach with a strong troubleshooting orientation.
Fluent in English (written and verbal).
Advantages (Nice to Have):
Experience with SDR (Software Defined Radio) architectures and FPGA-based RF systems.
Experience with regulatory compliance testing (FCC, CE, ETSI, MIL-STD).
Knowledge of digital signal processing (DSP) and wireless protocols (Wi-Fi, Bluetooth, LTE/5G).
Test Automation: Develop, optimize, and maintain automated RF test
environments and scripts using Python to streamline chip validation and
production testing.
Background in the defense-tech, electronic warfare (EW), or telecommunications industries.