לוח משרות דרושים מהנדסים

Company:
קומטקט

תחום עיסוק:
הנדסת מערכת

תקציר:
1. Bachelor’s/Master’s degree in Electronic Engineering or a relevant field. 2. Master’s degree in Systems Engineering – an advantage. 3. At least 3–5 years of experience in system engineering of multidisciplinary systems including RF, SW, HW, and FW. 4. Proven experience leading system-level projects with significant software components – mandatory. 5. Deep understanding of software architecture, software interface management, API definitions, and communication protocols – a significant advantage. 6. Ability to define and configure operating interfaces, user interfaces (UI/UX), and software–hardware integration capabilities – advantage. 7. Experience with RF radio systems. 8. Experience in system architecture design. 9. Experience with wireless communication systems – advantage. 10. Ability to lead development processes with SW/HW/FW/SV teams. 11. High technical capability and strong system-level perspective. 12. Ability to quickly learn complex technological topics. 13. Team player with strong interpersonal communication skills. 14. High-level technical English – both written and verbal. 15. Knowledge and experience working with RF test equipment (Spectrum Analyzer, Network Analyzer). 16. Valid security clearance – an advantage.

MSD Animal Health Technology Labs specializes in the development of animal health management solutions. We are a multidisciplinary product company, a diverse team of ~450 closely collaborating scientists, AI experts, software, hardware, and mechanical engineers… working alongside veterinarians and other animal experts. Our passion? Shaping the future of animal health and well-being (for much better!). Our products and platforms identify trends and predict the likelihood of health outcomes for HUNDREDS of MILLIONS of animals each year, from pets, to poultry, farm animals, and even fish. We provide actionable insights for veterinarians, farmers, and producers, changing the way people care for animals in 150 markets. So, if you’re looking to work in a company that combines pioneering science and technology, dedicated colleagues, and animals, you’ll find it all here – come join us!

As System Integration team lead you will lead the integration team defining setups, test plan, the test execution and debug, while working inside a demanding and diverse eco system. Position requires the ability to develop test plans, lead technical investigations of complex system issues as well as creative problem solving and hands on approach. Responsibilities:
* System integration team management
* Detailed definitions of test plans and test cases.
* Detailed definitions of testing setups.
* Hands-on debug of complex system.

mPrest Systems is a global provider of mission critical, software Command and Control solutions for the defense sector. We are looking for a system engineer to join our talented system engineering department. As a system engineer you will be leading complex, multidisciplinary projects as a the technical owner, processing the customer needs and values into system specifications and requirements, overview the development and chair the acceptance processes.

Responsibilities:
• Customer Liaison. • Analysis of customer needs and requirements. • Identification of internal Project’s Specifications and requirements. • Ability to lead and manage sub-contractors, including contractual engagements and procurement supervision. • Ability to lead a team of engineers, including the management of work plans and delivery schedules. • Ability to create effective and deployable solutions to complex engineering challenges. • Preparing, Leading and participating in Design Reviews and contractual engagements activities. • Leading acceptance and delivery processes with multiple entities, domestically and abroad.

we're looking for a passionate, curious AI Adoption Specialist to join our R&D team!
we are SaaS B2B solution solving one of the biggest challenges in finance: transforming scattered Excel-based processes into streamlined, cloud-based systems. We help finance professionals gain control, clarity, and insight over their data - from reports to forecasts to deep analytics. Now, were ready to take the next step by embedding AI into the way we build software. This is where you come in: helping our R&D teams embrace AI-powered development tools, workflows, and possibilities. If you're excited about exploring the latest AI technologies, influencing engineering culture, and making a real impact-this is the role for you.
What You'll Do:
Drive the adoption of AI-based development tools and workflows across the R&D organization.
● Identify, evaluate, and experiment with emerging AI technologies that can enhance developer productivity and code quality.
● Work closely with developers, team leads, and stakeholders to integrate AI into day-to-day development processes.
● Act as a cross-team enabler, helping teams overcome technical and cultural barriers to AI adoption.
● Lead internal initiatives, workshops, and knowledge-sharing sessions to promote AI-driven practices.
● Stay up to date with the latest AI tools, SDKs, and developer-focused platforms, and assess their relevance to our tech stack and workflows.

Were looking for an experienced Team Lead to drive the evolution of our Application teams.
Our technology teams are the driving force of our business.
Our tech teams maintain a dynamic, start-up atmosphere that fosters innovation and critical thinking. you'll collaborate with a diverse, global team of engineers, developers, architects, customer success, and product manager leaders, collectively shaping the future of our premier product suite and transforming financial planning and analysis for the future.
What You'll Do:
● You will oversee an engineering team of 5-7 (front-end, back-end and qa) responsible for developing our core product.
● Lead the design and implementation of Python-based microservices and backend components.
● You will guide the team in developing cutting-edge solutions. Provide hands-on technical expertise and code reviews to ensure the highest quality of work.
● You will work with the product and our architects to prioritize the backlog and optimize the work process and team efficiency.
● You will collaborate with stakeholders, possess strong technical skills, initiate and drive processes, manage projects within time constraints, and keep the team members motivated and engaged.
● You will be responsible for the performance of the team, including planning, execution, quality, and setting the team goals, objectives, and KPIs
● You will be responsible for the professional growth of the team members
● You will recruit and train new team members

we are looking for a R&D Team Leader.
What You'll Do:
Lead and manage a cross-functional R&D team of 5-7 engineers, including backend (Python), frontend (Angular), and QA engineers
Own end-to-end product development, from initial requirements and design, through development, testing, deployment, and production monitoring & troubleshooting
Provide hands-on technical leadership, including architecture design, coding when needed, and thorough code reviews
Work closely with Product Managers and Architects to define scope, prioritize backlog, and deliver high-quality features
Drive engineering best practices: clean code, testing, CI/CD, performance, reliability, and security
Be accountable for team delivery, quality, velocity, and stability
Define team goals, KPIs, and success metrics
Mentor and develop team members, supporting their professional and technical growth
Participate in hiring, onboarding, and training of new team members
Actively monitor production systems, lead incident response, root-cause analysis, and continuous improvement

It starts with you - an AI Engineering Team Lead responsible for leading a team building production-grade agentic systems. This role combines hands-on technical leadership with people management, ownership of architecture, delivery, and quality across agents, MCP tools, agentic workflows, RAG systems, and evaluation.
If you want to grow your skills building AI products for mission-critical AI, join mission - this role is for you.
:Responsibilities
Lead and mentor a team of AI Engineers building agentic systems and MCP tools.
Own technical direction for agent architectures, workflows, and LLM evals.
Review designs and code; ensure production readiness, reliability, and security.
Drive adoption of frameworks such as LangChain, LangGraph, or equivalent.
Set standards for RAG pipelines, vector databases, and retrieval quality.
Partner with product and platform teams on roadmap, scope, and delivery.
Balance hands-on contribution with people management and execution.
Build a culture of strong engineering practices, measurement, and iteration.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI systems and ML pipelines to join our AI group. You'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and ML pipelines. Youll work closely with data scientists to translate research into scalable solutions and manage model deployment in both cloud and on-prem GPU environments.
:Responsibilities
Design, build, and deploy production-grade ML models, AI agents, and end-to-end pipelines across cloud and on-prem GPU environments.
Maintain and optimize ML systems for performance, scalability and reliability, including model validation, inference speed, and resource efficiency.
Develop monitoring and observability tools such as alerts and performance metrics to ensure system stability in production.
Create and integrate APIs for ML services within microservice-based architectures.
Drive adoption of best practices for CI/CD, observability, and reproducibility in ML systems.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI infrastructure. This group builds scalable, high-performance AI systems for internal users and external customers, designed to run seamlessly across cloud and on-premise environments using the latest hardware advancements.
:Responsibilities
Design and optimize LLM serving infrastructure using inference engines (vLLM, TensorRT-LLM, Triton Inference Server)
Implement and tune distributed inference strategies including tensor parallelism, pipeline parallelism, and multi-node serving
Develop and apply model compression techniques to optimize cost, latency, and memory footprint while maintaining model quality
Build self-service fine-tuning platforms that enable data scientists to run experiments (LoRA, QLoRA, full fine-tuning) in a standardized, reproducible, and governed manner
Optimize inference performance through batching strategies, KV-cache tuning, and speculative decoding
Develop reusable APIs, abstractions, and platform services for model deployment, scaling, and lifecycle management
Collaborate with AI researchers and product teams to productionize models and meet latency/throughput requirements
Evaluate and benchmark new model architectures, compression methods, and serving frameworks

It starts with you - ML Engineering Team Lead responsible for leading a team delivering end-to-end ML systems. This role combines people management with ownership of model training, evaluation, deployment, and ML platform standards
If you want to grow your skills building AI products for mission-critical AI, join mission - this role is for you. :
: Responsibilities
Lead and mentor ML Engineers delivering production ML systems.
Own technical direction for model architectures, training pipelines, and evals.
Review designs and code; ensure scalability, reliability, and data quality.
Define standards for experimentation, reproducibility, and monitoring.
Partner with product and platform teams on roadmap and prioritization.
Balance hands-on technical contribution with people management.
Build a culture of measurement, rigor, and continuous improvement.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI infrastructure. This group builds scalable, high-performance AI systems for internal users and external customers, designed to run seamlessly across cloud and on-premise environments using the latest hardware advancements.
:Responsibilities
Design, build, and maintain scalable Kubernetes-based infrastructure for ML workloads across on-premise and cloud environments
Architect hybrid infrastructure solutions enabling seamless model flow from on-premise training environments to cloud-based inference deployments
Implement model registry and artifact management strategies that support cross-environment synchronization, versioning, and governance
Design secure, efficient data and model transfer mechanisms between on-premise and cloud (networking, storage replication, caching strategies)
Implement and manage GPU scheduling, resource allocation, and cluster autoscaling for heterogeneous compute environments
Build and maintain CI/CD pipelines for ML systems, including model versioning, testing, and promotion across environments
Develop observability solutions (logging, monitoring, alerting) for ML infrastructure across hybrid deployments
Collaborate with ML Engineers to define infrastructure requirements and SLAs for training and serving workloads

It starts with you - a senior AI engineer focused on building production-grade agentic systems: autonomous agents, MCP tools, agentic workflows, and rigorous evaluation.
If you want to grow your skills building AI products for mission-critical AI, join mission - this role is for you.
:Responsibilities
Design and build single- and multi-agent systems with planning, memory, and tool use.
Implement and operate MCP tools and servers with secure schemas and permissions.
Build agentic workflows using LangChain, LangGraph, or equivalent frameworks.
Integrate LLMs via SDKs; manage prompts, structured outputs, and tool calling.
Define and run LLM evals (quality, correctness, latency, cost, regressions).
Add observability and reliability (logging, tracing, retries, state management).
Optimize performance and cost; take systems to production.
Mentor engineers and establish agentic best practices.

It starts with you - an engineer driven to build modern, real-time data platforms that help teams move faster with trust. You care about great service, performance, and cost. Youll architect and ship a top-of-the-line open streaming data lake/lakehouse and data stack, turning massive threat signals into intuitive, self-serve data and fast retrieval for humans and AI agents - powering a unified foundation for AI-driven mission-critical workflows across cloud and on-prem.
If you want to make a meaningful impact, join mission and build best-in-class data systems that move the world forward - this role is for you.
:Responsibilities
Build self-serve platform surfaces (APIs, specs, CLI/UI) for streaming and batch pipelines with correctness, safe replay/backfills, and CDC.
Run the open data lake/lakehouse across cloud and on-prem; enable schema evolution and time travel; tune partitioning and compaction to balance latency, freshness, and cost.
Provide serving and storage across real-time OLAP, OLTP, document engines, and vector databases.
Own the data layer for AI - trusted datasets for training and inference, feature and embedding storage, RAG-ready collections, and foundational building blocks that accelerate AI development across the organization.
Enable AI-native capabilities - support agentic pipelines, self-tuning processes, and secure sandboxing for model experimentation and deployment.
Make catalog, lineage, observability, and governance first-class - with clear ownership, freshness SLAs, and access controls.
Improve performance and cost by tuning runtimes and I/O, profiling bottlenecks, planning capacity, and keeping spend predictable.
Ship paved-road tooling - shared libraries, templates, CI/CD, IaC, and runbooks - while collaborating across AI, ML, Data Science, Engineering, Product, and DevOps. Own architecture, documentation, and operations end-to-end.

we are looking for a Senior Data Scientist - AI Research Group.
:Responsibilities
Conduct hands-on research and development of state-of-the-art models, algorithms, and systems.
Lead research projects end-to-end from problem formulation, ideation, and experimental design to prototyping and transition into production.
Explore new methodologies and develop creative approaches to solve complex challenges.
Identify ambitious research directions and invent novel approaches to solve complex, high-impact problems.
Shape the research roadmap and influence long-term technical strategy across the organization.

we are looking for a Senior NLP Researcher.
:Responsibilities
Conduct cutting-edge research in natural language processing and large language models.
Design, train, and optimize large-scale neural network models for advanced applications.
Transition research projects from ideation through deployment and scaling.
Collaborate closely with cross-functional teams, including domain experts, product managers, and engineers, to deliver impactful AI solutions.
Define and contribute to the AI and NLP product roadmap.