דרושים » הנדסה » Principal Software Engineer - AI Ecosystem

Requirements:
4+ years of relevant technical experience in software development.
Advanced experience working in a Linux environment with at least one language like Golang, Python, Java, C, or C++.
Advanced experience with a container orchestration ecosystem like Kubernetes, or Red Hat OpenShift.
Strong experience with microservices architectures and concepts including APIs, versioning, monitoring, etc.
Virtual Networking / Storage / Compute experience .
Ability to quickly learn and guide others on using new tools and technologies.
Proven ability to innovate and a passion for staying at the forefront of technology.
Excellent system understanding and troubleshooting capabilities.
Autonomous work ethic, thriving in a dynamic, fast-paced environment.
Technical leadership acumen in a global team environment.
Proficient written and verbal communication skills in English.

Requirements:
8+ years of experience working in a Linux environment with at least one language like Golang, Python, Java, or C or C++
Expert in a container ecosystem like Docker, Kubernetes, Red Hat OpenShift.
Expert in microservices architectures and concepts including APIs, versioning, monitoring, etc.
Ability to examine various technological areas deeply and deliver solutions
Experience with AI frameworks and tooling
Technical leadership acumen in a global team environment
Excellent debugging skills
Proficient written and verbal communication skills in English
Bachelor's degree in computer science or equivalent working experience
The following are considered a plus:
Experience with cloud development
Familiarity with virtualization, networking, or storage
Background in DevOps or site reliability engineering (SRE)
Experience with open source development

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:

BSc/MSc in CS/CE or related field (or equivalent experience).

At least 8 years of experience in ML engineering with a track record of deploying LLMs and agents to production at scale (including distributed environments).

Proficiency in Python and/or C++, with a deep understanding of ML/AI frameworks.

Hands-on experience with microservices, container orchestration, and cloud platforms for large-scale training and inference workloads.

Knowledge of ML training and inference optimization techniques.

Understanding of build infrastructure and CI/CD tools and practices (e.g. GitLab, GitHub Actions, Jenkins)

Experience with teaching and mentoring.

You are a proactive owner who takes pride in your work but remains humble and approachable. You believe that "how" we build is just as important as "what" we build.

Excellent collaboration skills, with the ability to explain complex infra concepts to non-technical stakeholders clearly and kindly.



Ways to stand out from the crowd:

Experience deploying and optimizing generative models and multi-agent systems for performance.

Deep systems knowledge (Linux internals, network protocols, or high-performance computing).

A background in security research, including knowledge of firewalls, intrusion detection, or network architectures.

Requirements:
BSc in Computer Science/Software Engineering or equivalent.
7+ years in JAVA and cloud development.
Strong software design skills, debugging capabilities, and problem‑solving strengths.
Self-motivated, accountable, quick learner and team player.
Excellent interpersonal and communication skills.
Excellent written and spoken English.
AI & Automation experience:
Hands-on experience with AI coding tools such as GitHub Copilot or Claude Code -
using AI to accelerate development, improve code quality, and optimize system design.
Deep familiarity with LLMs, AI agents, or automation frameworks (e.g. Claude, OpenAI, Copilot, or similar).
Experience working with agent architectures, prompt engineering, MCP / tool integrations, or related LLM ecosystems.
Demonstrated ability to design and ship AI-driven solutions end-to-end - from concept to production.
You will have an advantage if you also have:
Experience building distributed, production-grade systems at scale, including solving complex large-scale engineering challenges (Big Advantage).
Hands-on development experience with AWS services.
Strong background in Spring / Spring Boot.

Requirements:
What Were Looking For

5+ years of professional software development experience

Strong, proven experience in modern C++ (C++17/20)- multi-year hands-on development in native/cross-platform environments. We expect fluency with:

Modern language features (RAII, smart pointers, move semantics, templates,constexpr, the STL)

Concurrency and parallelism- threads, async tasks, synchronization primitives, atomics, and the C++ memory model, with the ability to write correct, high-performance multithreaded code

Clean, maintainable, well-structured C++ and modern build tooling (e.g. CMake)

Memory management, performance profiling, and debugging in native environments

Inter-process communication, native integrations, and low-level system programming

Cross-platform development across Windows and Linux

Experience with C# / .NET Core- valued alongside C++, as parts of the platform are built in .NET for extensions and integrated services. Strong C++ engineers who are newer to .NET are encouraged to apply; well support you in ramping up

Solid testing knowledge and discipline- you write unit and integration tests as a natural part of development, are familiar with testing frameworks (e.g. GoogleTest/Catch2) and practices such as mocking and test-driven development

Hands-on experience with AI-assisted development tools(e.g. Cursor, Claude Code) - you use AI to accelerate coding, code review, and problem-solving, and are keen to push these tools further

A customer-first mindset- comfortable jumping on customer calls and turning first-hand feedback into better software

Thrive in a globally distributed team- you communicate clearly and collaborate well across time zones and cultures

Experience working in and succeeding within agile development teams

Comfortable with change and continuous evolution of product direction

A get-your-hands-dirty attitude: not afraid to pick up a new technology or pattern quickly

A proven track record of producing high-quality, maintainable code and applying engineering best practices

Nice to Have (Not Required)

Experience with cloud services development, ideally on Azure

Experience with Docker and Kubernetes

Experience with DevOps pipelines and Cloud Operations (monitoring, observability, logging)

Experience developing automation engines or background service architectures

Requirements:
BSc in Computer Science, Computer Engineering, Software Engineering, or equivalent practical experience
6+ years of hands-on experience as a DevOps Engineer
Deep expertise with AWS services (Azure experience is a strong advantage)
Strong programming and scripting skills (Python, groovy)
Extensive experience with Infrastructure as Code (CDK / CloudFormation / Terraform)
Strong experience designing and operating CI/CD platforms (GitHub Actions, Jenkins, etc.)
Solid understanding of cloud-native architectures, containerized workloads, and distributed systems
Hands-on experience with monitoring, logging, alerting, and observability platforms (Grafana and Prometheus)
Solid hands-on experience working with Linux environments, including system troubleshooting, performance tuning, and operational best practices
Strong understanding of security, encryption, and compliance best practices
You will have an advantage if you also have:
Strong ownership mindset with end-to-end responsibility
Natural technical leader and mentor
Excellent collaboration and communication skills
Ability to influence architecture and best practices across teams
Proactive, self-driven, and comfortable operating in ambiguity
Strong problem-solving and decision-making abilities
Global mindset and fluent communication in English.

Requirements:
Have you got what it takes?
BSc in Computer Science/Software Engineering or equivalent.
7+ years in JAVA and cloud development.
Strong software design skills, debugging capabilities, and problem‑solving strengths.
Self-motivated, accountable, quick learner and team player.
Excellent interpersonal and communication skills.
Excellent written and spoken English.
AI & Automation experience:
Hands-on experience with AI coding tools such as GitHub Copilot or Claude Code -
using AI to accelerate development, improve code quality, and optimize system design.
Deep familiarity with LLMs, AI agents, or automation frameworks (e.g. Claude, OpenAI, Copilot, or similar).
Experience working with agent architectures, prompt engineering, MCP / tool integrations, or related LLM ecosystems.
Demonstrated ability to design and ship AI-driven solutions end-to-end - from concept to production.
You will have an advantage if you also have:
Experience building distributed, production-grade systems at scale, including solving complex large-scale engineering challenges (Big Advantage).
Hands-on development experience with AWS services.
Strong background in Spring / Spring Boot.

Requirements:
B.Sc. in Computer Science, Engineering, or related technical field.
5+ years of experience leading software development teams (including team leaders and groups of 15+ engineers).
Proven ability to deliver complex software projects on time and with high quality.
Strong technical background in software engineering (C++ and/or Python).
Excellent leadership, communication, and collaboration skills, with experience working in global/multi-site environments.
Demonstrated ability to inspire, motivate, and develop high-performing teams with a strong can-do culture.
Advantages:
Familiarity with compilers, AI frameworks, or deep learning execution flows.
M.Sc. or higher in Computer Science, Engineering, or related fields.
Deep understanding of embedded systems and heterogeneous architectures (CPU, DSP, NPU, memory hierarchy).
Experience with performance tuning, parallelization, and runtime systems.

Requirements:
B.Sc in Engineering, Computer Science, or related technical field. MS or PhD highly desired.
5+ years of experience as SW Architect.
8+ years of experience as SW developer.
Proficiency in Python, C++.
Proven track record in Software Architecture development, maintenance and improvement over embedded processors in AI and vision domains.
Excellent communication skills, both verbally and in writing. Collaborative and influential across organizations.
Proven ability to advance initiatives effectively in ambiguous and dynamic environments.
Ability to work and operate in a highly dynamic environment.
Advantages:
Experience in implementing state-of-the-art neural networks, generative AI and LLMs embedded SW over SoCs /DSPs/NPUs.
Familiarity with AI frameworks such as optimum PyTorch, Tensor Flow, vLLM, SgLang and others.
Familiarity with graph compilers such as mlir, tvm, xla.
Familiarity with runtime frameworks such as ExecuTorch, MLIR iree, Onnx runtime.
Deep understanding of LLM and CNN quantization algorithms.