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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.

Requirements:
What we need to see:

BSc in Computer Science, Electrical Engineering, Computer Engineering, or related field (or equivalent experience).

5+ years system software development and troubleshooting experience, ideally with some customer facing.

Experience developing with Python, C and C++ in kernel and/or application space and/or embedded software.

Very good familiarity with Linux (tools, utilities, kernel functionality). Hands-on experience with containers and virtualization technologies.

Proven ability to deeply analyze IPv4, IPv6, Layer 2 switching, TCP/IP and routing networking protocols (ARP, STP, LACP, MLAG, IGMP, PIM, BGP, OSPF).

Intellectual curiosity, positive attitude, flexibility, analytical ability, self-motivation, and team-oriented.


Ways to stand out from the crowd:

Experience in solving problems in large-scale network environments with overlay technologies (BGP, OSPF, VXLAN, EVPN).

Configuration and operational expertise with network switch/router platforms (i.e. IOS, JunOS, EOS).

Experience with SRv6 technology, HPC, low-latency systems and performance tuning.

Contributions to networking related open-source projects such as Free Range Routing (FRR) and/or Bird.

Experience with AI coding tools, AI agents, etc.

Requirements:
What we need to see:

BSc in Electrical/Computer Engineering or MSc in Mathematics, or equivalent experience.

1-3 years of relevant experience.

Excellent analytical, logical reasoning and problem-solving skills.

Strong debugging and analytical skills.

Strong communication and interpersonal skills are required.


Ways to stand out from the crowd:

Formal verification work experience.

Knowledge of digital logic.

Requirements:
What we need to see:
BSc in Electrical/Computer Engineering or MSc in Mathematics, or equivalent experience.
1-3 years of relevant experience.
Excellent analytical, logical reasoning and problem-solving skills.
Strong debugging and analytical skills.
Strong communication and interpersonal skills are required.

Ways to stand out from the crowd:
Formal verification work experience.
Knowledge of digital logic.

Requirements:
What we need to see:

B.Sc./M.Sc. in Electrical Engineering from a leading university (or equivalent experience).

8+ years of relevant experience.

Strong problem-solving skills.

Excellent interpersonal and written communication skills.

Desire to work multi-discipline projects.

Engineering approach and understanding of physical trade-offs.

Ability to work in a high-paced project development environment.


Ways to stand out from the crowd:

Knowledge in electro-optic communication or high-speed signals or analog circuits.

Hands on experience with electrical lab work.

Previous experience in hardware/system fields.