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Requirements:
B.Sc. in Computer Science, Software Engineering, or equivalent practical experience
5+ years of hands-on experience as a Full Stack Engineer
Strong experience with React and modern JavaScript/TypeScript frameworks; Next.js experience is a strong advantage
Solid backend skills - comfortable building APIs, services, and working with relational databases
Experience with cloud environments, particularly AWS (RDS, S3, or similar services)
Familiarity with analytical databases such as ClickHouse, BigQuery, or similar is a plus
A product-oriented mindset - you care about the user experience and think beyond the code
Strong problem-solving skills, sense of ownership, and the ability to thrive in a fast-paced startup environment
Excellent communication and collaboration skills
Nice to Have
Experience with cybersecurity products or security-adjacent SaaS platforms
Familiarity with data visualization, dashboards, and analytics-heavy applications
Experience working in early-stage startups.

Requirements:
5+ years in a pre-sales, solutions engineering, or technical consulting role at a global B2B SaaS company
Proven experience navigating complex sales cycles involving multiple stakeholders, including enterprise customers
Hands-on experience owning POCs and delivering custom technical solutions
Proven experience working with AI products, automation tools, and agent-based solutions - a must
Strong background in IT - an advantage
Familiarity with Windows OS; Mac and Linux - an advantage
Experience with API integrations and scripting - preferred
Native Hebrew and professional English - both required
Well organized, process-driven, and able to manage multiple projects.
Charismatic communicator who can hold the room with both technical and executive audiences
Genuine enthusiasm for technology and innovation - non-negotiable
Travel to customer sites as needed (~30%) - mainly IL customers

Requirements:
What We Need to See:
Bachelors degree in Computer Science, Software Engineering, or a related field, or equivalent experience.
5+ years of experience in DevOps, site reliability engineering, or platform engineering supporting distributed applications and microservices.
Strong hands-on experience with Kubernetes, Docker, and Helm, including networking, storage, workload scheduling, scaling, and troubleshooting.
Strong Linux administration skills and proficiency in Python and Bash for automation, plus experience with infrastructure as code and configuration tooling such as Terraform and Ansible.
Experience building and maintaining CI/CD pipelines, including runners, container registries, artifact management, automated quality gates, and secure release practices.
Practical experience operating PostgreSQL or comparable relational databases, including SQL, migrations, backup and restore, and performance troubleshooting.
Strong networking and observability fundamentals across TCP/IP, DNS, HTTP, TLS, load balancing, ingress, metrics, logs, traces, dashboards, and actionable alerting.
Sound understanding of secure infrastructure operations and incident response, with demonstrated ownership, cross-functional collaboration, and prioritization in an evolving environment.


Ways To Stand Out From the Crowd:
Experience operating AI applications, agent platforms, or LLM services, including monitoring latency, failures, token usage, and cost.
Familiarity with Temporal, LangGraph, Model Context Protocol (MCP), Langfuse, ClickHouse, Redis/Valkey, or S3-compatible storage.
Deep experience with OpenTelemetry instrumentation and collectors, Datadog APM, or Prometheus/Grafana.
Experience with self-hosted Kubernetes, OpenShift, Kubernetes operators, CloudNativePG, or GPU clusters and AI data centers.
Experience building reproducible AMD64 and ARM64 container images, optimizing BuildKit pipelines, and securing the software supply chain.

Requirements:
5+ years of professional experience as a full-stack or frontend-leaning engineer.
Strong proficiency in React, TypeScript, and modern web development.
Experience building and integrating with Python/Node.js/Go backends.
Familiarity with cloud infrastructure (AWS, GCP, or Azure) and Docker/Kubernetes.
Solid understanding of API design, security, and data-driven applications.
A builders mindset, curious, responsible, and pragmatic.
Passion for collaboration and for solving meaningful, real-world problems in healthcare.
Nice to Have
Experience in developing AI based products.
Demonstrated familiarity with DevOps/Infrastructure practices and tools (e.g., CI/CD, Terraform, Cloud Networks, AWS, ArgoCD, Github actions, K8s).

Requirements:
What we need to see:
B.Sc. or above in Computer Science, Computer Engineering, or a related field, or equivalent experience.
5+ years of hands-on experience in software engineering, with demonstrated ownership of production systems from design through deployment.
Expert-level programming skills in C++, with strong Python skills alongside it.
Strong understanding of the full stack, including hardware: memory, I/O, networking, accelerators, and where real performance bottlenecks occur.
Current, practical knowledge of how to build systems around AI models: agent loops, tool interfaces, context retrieval and management, and common failure modes.
Understanding of inference serving, including request lifecycle, batching, caching, and the tradeoffs between throughput, latency, and cost.


Ways to stand out from the crowd:
Experience writing hardware simulation software - network, system, or architectural simulators, models, or testbenches.
Networking experience - protocols, fabrics, switching, or RDMA - and experience working alongside silicon, systems, or architecture teams.
Hands-on experience with inference serving engines such as vLLM, TensorRT-LLM, or Triton Inference Server, including low-level internals such as KV cache, batching and scheduling, and quantization, and related performance work such as profiling and GPU programming.
Hands-on experience building or fine-tuning LLMs or other generative models.
Agent workflows, tooling, or context pipelines adopted by other engineering teams.

Requirements:
● 5+ years building backend systems for modern SaaS products
● Strong engineering fundamentals: clean code, scalable architecture, thoughtful tradeoffs
● Comfortable working in ambiguous environments while still delivering high quality
● Strong experience with .NET / C# (a strong plus)
● Experience with LLMs, agents, and/or RAG systems (a plus).

Requirements:
What we need to see:
B.Sc. or M.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience.
5+ years of relevant industry or research experience. This is not an entry-level position; coursework and personal projects do not substitute for production or research experience at scale.
Hands-on experience running and analyzing AI workloads on multi-node systems - distributed training or large-scale inference - including measuring where time and resources are actually spent.
Demonstrated performance analysis work: building analytical or simulation models of real systems, validating them against measurement, and identifying bottlenecks that led to design or deployment changes.
Strong systems-level thinking across the full AI stack, from model and framework behavior down through compute, memory, storage, and network.
Track record of translating research findings and workload analysis into concrete software and hardware specifications that engineering teams acted on.
Strong programming skills in Python and C/C++, applied to performance modeling, data analysis, and prototyping.


Ways to Stand Out from the crowd:
Deep understanding of data centers, network topologies, and communication protocols.
Familiarity with GPU clusters, collective communication, storage systems, and AI networking bottlenecks.
Experience with distributed training, distributed inference, or large-scale AI serving systems, including the performance metrics and deployment strategies that govern them.
Experience in agentic programming and AI tooling.
Track record of turning academic research into concrete software, hardware, or architecture requirements, and of leading complex multidisciplinary projects with measurable production impact.

Requirements:
Requirements

5+ years of QA experience testing complex web applications, with at least 3 years of hands-on automation.
Solid experience writing and executing detailed test plans and test cases.
Highly organized, with a strong commitment to quality and on-time delivery.
Experience testing WordPress sites (themes, plugins, page builders).
Hands-on with tools like Playwright, BrowserStack, or testim.io.
Solid HTML/CSS/JS understanding for testing and debugging.
Strong hands-on proficiency with browser DevTools (Elements, Console, Network, Performance, Application) for debugging UI, tracking errors, and inspecting requests.
Experience building automation with AI-assisted tools.
Experience with Git and Agile workflows.
Strong attention to detail and clear bug documentation.
SEO/web performance familiarity and experience with marketing site testing are a plus.

Requirements:
5+ years building modern SaaS web apps, with deep experience in React + TypeScript.
Strong engineering fundamentals: clean code, scalable UI architecture, thoughtful tradeoffs.
High standards for pixel-perfect UI, accessibility, and user experience.
Proven ability to move fast in ambiguous environments and still deliver high quality.
Product mindset: you think in outcomes, not just tickets.
Next.js experience (a plus)
Experience with design systems / Storybook (a plus)
Strong performance / debugging skills - profiling, bundling, rendering, network (a plus)
Familiarity with testing practices (unit/e2e) and CI (a plus).

Requirements:
What we need to see:

Hold a M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience).

5+ years of industry experience (or equivalent) in system architecture, AI systems architecture, scaling of AI, Parallelism of AI frameworks, or deep learning training workloads.

Experienced in algorithm design, system programming, computer architecture and operating systems.

Experienced in virtualization, networking and storage.

Deep understanding of performance profiling and optimization techniques, together with defining and using hardware features.

Strong programming and software development skills.

Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

Ways to stand out from the crowd:

Shown research track record.

Have experience and passion for system architecture, CPU/GPU/memory/storage/networking.

Stellar communication skills.

Knowledge in Deep Learning frameworks and AI communication libraries (NCCL, UCX, MPI and equivalents).

Deep understanding of Inference and Training workloads and optimizations, like Prefill/Decode, data parallelism, Tensor parallelism, FDSP and others.

Requirements:
5+ years of experience in data analysis, product analytics, or a similar analytical role, including senior or lead-level scope.
Strong SQL skills and proven experience working with large datasets.
Proficiency with Python (or similar) for data analysis and automation.
Hands-on experience with GenAI tools, LLMs, and AI agents, and a good understanding of how they behave.
Experience analyzing the output and quality of AI or ML-driven products.
A track record of translating data into insights that influence product decisions and deliver measurable impact.
Ability to communicate findings clearly to technical and non-technical stakeholders, and to collaborate with and influence cross-functional teams.
Preferred
Experience measuring the quality or performance of AI systems.
Experience at a fast-growing product or SaaS company.
Familiarity with the security domain - threat modeling, application security, or related fields.
Experience mentoring analysts or setting analytical standards on a team.

Requirements:
What we need to see:

B.SC./M.SC. or equivalent experience in Electrical Engineering/Communication Engineering/Computer Engineering.

5+ years of proven experience in RTL Frontend ASIC Verification (Chip Design).

High Level of English.

Ways to stand out from the crowd:

Extensive experience in RTL Frontend ASIC Verification (Chip Design).

Strong experience and knowledge in Specman.

Vast background and knowledge in system level aspects.

Requirements:
· B.Sc. in Electrical Engineering / Electronics Engineering – Mandatory · Up to 5 years of professional experience in Hardware Design Engineering (excluding mandatory military service). · Proven experience in analog board design and high-power power supply design Mandatory · Hands-on experience performing board bring-up for digital boards and power supply boards – Mandatory · Experience with schematic editing and PCB layout support – Mandatory · Experience preparing and participating in design reviews (PDR/CDR) – Mandatory · Experience writing ATP and POD documentation – Mandatory · Experience supporting PCB manufacturing and electronic board assembly. · Strong proficiency with OrCAD and Allegro · Excellent Microsoft Office skills. · Fluent Hebrew and English. Nice to Have · Experience in the aerospace and defense industry. · Experience working with complex multidisciplinary systems. · Familiarity with IPC standards and production processes. Strong understanding of development in compliance with MIL-STD and DO-160 testing standards Why Join BIRD Aerosystems? · Work on advanced aerospace and defense technologies with global impact. · Take part in designing complex electronic systems deployed worldwide. · Collaborate with experienced engineers across multiple disciplines. · Join a professional, innovative, and growing organization. · Develop your expertise in a challenging and technology-driven environment. If you are passionate about hardware development, electronics, and advanced aerospace technologies, we would love to hear from you.

Requirements:
Requirements
8+ years of experience as a backend software engineer.
Expert Python knowledge and experience in large-scale systems.
Excellent technical, leadership and organizational abilities.
Outstanding communication, motivational, and interpersonal skills.
Experience with Agile CI/CD.
Experience in both RDBMS (Postgres, MySQL, SQL Server) and NoSql databases