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לפני 7 שעות
Location: Haifa
Job Type: Full Time and Hybrid work
You are a Software Data Engineer with deep experience building data-intensive systems, not a traditional ETL or BI-focused Data Engineer. In this role, you will design and build production-grade data services, platforms, and pipelines that power DIH and our AI-driven products. You will combine strong software engineering fundamentals with modern data engineering practices, with a focus on clean architecture, reliability, scalability, observability, and testing.

As a Software Data Engineer, Data Platform, you will:
Build and evolve Python-based services and pipelines that ingest raw industrial events, store them reliably, and expose clean, well-modeled tables and APIs for downstream consumers, including Digital Twin, Smart Canvas, AI agents, and analytics.
Design systems that handle duplicates, invalid data, late-arriving events, and reprocessing in a principled, incremental, and reproducible manner.
Collaborate with platform, machine learning, and product teams across Israel and globally to transform complex data challenges into robust, observable, and scalable software solutions.
Requirements:
What You Bring
Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related engineering discipline, or equivalent practical experience.
5+ years of professional software engineering experience, including substantial experience building backend systems, distributed systems, or data-intensive applications in production environments.
Strong Python engineering skills, including modular architecture, dependency management, testing practices, observability, and production-grade code quality.
Strong SQL and data modeling expertise, including schema design, indexing strategies, event-driven data models, and scalable analytical aggregations.
Hands-on experience building incremental and idempotent data pipelines that handle duplicate, invalid, and late-arriving events without impacting downstream consumers.
Experience with at least one major cloud platform (Azure, GCP, or AWS) and modern lakehouse technologies such as Databricks, Delta Lake, Spark, or equivalent architectures.
Experience with streaming or messaging technologies such as Kafka, Pub/Sub, Event Hubs, or similar event-driven systems.
Proven ability to diagnose and resolve production data issues, including data quality problems, schema evolution, backfills, replay scenarios, and performance bottlenecks.
Strong written and verbal communication skills in English and experience collaborating effectively with globally distributed teams.

Nice to Have
Experience building industrial, IoT, manufacturing, or operational data platforms.
Familiarity with Digital Twin architectures and industrial data models.
Experience with graph databases, context graphs, knowledge graphs, or relationship-centric data modeling.
Exposure to AI/LLM-powered applications, including retrieval-augmented generation (RAG), agents, tool calling, or evaluation frameworks.
Experience working with Databricks or similar lakehouse platforms from both application and platform perspectives.
Experience building data products that directly support AI agents, intelligent applications, or machine learning workflows.
This position is open to all candidates.
 
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לפני 8 שעות
דרושים בהטכניון - מכון טכנולוגי לישראל
Location: Haifa
Job Type: Full Time
Poranne Lab, Schulich Faculty of Chemistry, Technion Israel Institute of Technology
Appointment: Full-time
Start date: Flexible (preferably by early 2026)
About the Lab:
The Poranne Group is a computational physical organic chemistry group that develops and applies machine learning methodologies to advance discovery and understanding in chemistry. Our research focuses on interpretable deep learning, molecular representations, and chemistry-aware models that connect data-driven insights with fundamental chemical understanding. The group operates at the interface of computational organic chemistry, machine/deep-learning, and data science. For more information, visit our website
Position Summary:
We are seeking a highly motivated Lab Engineer/Research Associate to take a leading role in our labs research activities. The successful candidate will be responsible for developing and applying machine learning models for molecular and physical systems and training graduate and undergraduate researchers.
Key Responsibilities:
Conduct collaborative research in machine learning for chemistry and materials.
Develop interpretable ML architectures and model analysis tools for scientific data.
Supervise and train graduate students and contribute to their technical and professional development.
Assist in the writing of research articles, technical reports, and grant proposals.
Contribute to data curation, model implementation, and computational infrastructure management.
Requirements:
Essential qualifications:
M.Sc. or Ph.D. in Computer Science, Computational Chemistry, Bioinformatics, Physics, or a related field.
Strong proficiency in Python and key ML/scientific libraries (PyTorch, JAX, TensorFlow, NumPy, pandas, PyTorch Geometric, RDKit, etc.).
Solid understanding of software engineering best practices (version control, testing, packaging, CI/CD).
Experience with DevOps/MLOps tools (including Docker, Kubernetes, MLflow, DVC, etc.).
Demonstrated experience applying ML to scientific or engineering data (e.g., molecular simulations, protein structures, reaction networks, spectroscopy, materials data).
Comfortable working in Linux-based development environments and with cloud/HPC systems.
Preferred qualifications:
Experience with AI models for molecules or materials (e.g., graph neural networks, equivariant networks, molecular transformers).
Familiarity with scientific data formats and repositories (PDB, PubChem, ChEMBL).
Exposure to computational chemistry or structural biology workflows.
Contributions to open-source scientific software or AI toolkits.
Strong cross-disciplinary communication skills and intellectual curiosity.
Experience mentoring students or coordinating research teams.
Interest or experience in scientific writing.
What We Offer:
The Schulich Faculty of Chemistry provides a vibrant and collaborative research community at one of Israels leading scientific institutions.
The Poranne Group offers access to state-of-the-art computational resources and a strong network of collaborations across chemistry, physics, and computer science. Our group provides a supportive and intellectually stimulating atmosphere, emphasizing creativity, rigor, and teamwork. In our group, you will enjoy the chance to shape next-generation tools to address problems at the intersection of AI, theory, and experiment, as well as the freedom to explore creative research directions aligned with the labs mission.
Salary will be commensurate with qualifications and experience, following Technion guidelines.
How to Apply
Interested candidates should submit the following materials to Prof. Renana Poranne:
A cover letter describing research interests, experience, and motivation.
Curriculum vitae (including publications).
Contact information for two or more references.
Applications will be reviewed on a rolling basis until the position is filled.
*
This position is open to all candidates.
המידע שיימסר על ידך ישמש את הטכניון – מכון טכנולוגי לישראל ו/או מי מטעמו, לצורך בחינת מועמדותך למשרה, לרבות מועמדות למשרות נוספות, וכן לצורך ניהול ותפעול הליכי הגיוס, ולמטרות נוספות בהתאם להודעת הפרטיות למועמדים למשרה בטכניון.
לא חלה עליך חובה חוקית למסור את המידע, אולם אם תבחר/י שלא למסור את המידע, כולו או חלקו, ייתכן שלא ניתן יהיה לבחון את מועמדותך או את התאמתך למשרה.
למידע נוסף, לרבות פירוט סוגי המידע הנאספים והשימושים הנעשים בו, זהות הגורמים שאליהם עשוי המידע להימסר, אופן מימוש זכויותיך לעיון ולתיקון מידע אישי, ודרכי יצירת קשר – ניתן לעיין בהודעת הפרטיות למועמדים למשרה, כפי שמפורסמת באתר הטכניון.

הטכניון פועל לגיוון תעסוקתי ומעודד הגשת מועמדויות מכלל המגזרים
التخنيون يعمل على تعددية التشغيل ويشجع التقديم للمناقصات من جميع الأوساط
 
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לפני 7 שעות
Location: Haifa
Job Type: Full Time and Hybrid work
You are a Senior AI Software Engineer looking to join a GenAI Infrastructure team and build production-grade GenAI capabilities and the infrastructure behind them. You will be a hands-on engineer focused on AI agents, RAG pipelines, tool-calling workflows, backend services, data access layers, evaluation, observability, and reusable GenAI infrastructure used across product teams. You will not be focused solely on model research or prompt design. Instead, you will be a strong software engineer who can design, build, ship, and operate reliable AI-powered systems in production.

A Day In Your Life
Build reusable infrastructure, SDKs, and internal frameworks for AI-powered product capabilities.
Design and implement AI agents, RAG flows, tool-calling workflows, and LLM orchestration pipelines.
Build production-grade GenAI services, APIs, and backend infrastructure.
Integrate LLM workflows with internal microservices, data platforms, vector search, and event-driven systems.
Design secure data-access patterns that enforce authorization, tenant separation, and user-level scope.
Implement evaluation, tracing, monitoring, and quality-control mechanisms for GenAI systems.
Improve latency, reliability, fallback behavior, cost efficiency, and production readiness.
Work on customer-facing AI experiences, including conversational and proactive agentic product flows.
Collaborate with backend engineers, product managers, data engineers, AI/ML engineers, and domain experts.
Requirements:
You Will Bring
6+ years of professional software engineering experience.
Strong Python development skills.
Strong backend engineering background, including APIs, services, integrations, or microservices.
Proven experience designing, shipping, or operating LLM-powered applications or GenAI systems.
Experience with RAG, AI agents, tool/function calling, prompt orchestration, evaluation, and observability.
Experience with microservices, distributed systems, and production backend architecture.
Strong understanding of system design, reliability, security, scalability, latency, and maintainability.
Ability to work with complex data models and expose them safely through AI systems.
Ability to operate in ambiguous technical areas and turn prototypes into production-ready systems.
Strong communication skills and ability to explain technical decisions clearly.

Preferred Qualifications
Experience with LangChain, LangGraph, or LangSmith.
Experience with Go, MongoDB, Databricks, Kubernetes, Docker, REST APIs, vector search, or event-driven systems.
Experience with Azure OpenAI, Gemini, or similar LLM platforms.
Experience building or using knowledge graphs, GraphRAG, or graph databases such as Neo4j.
Experience building multi-agent systems or orchestrating multiple specialized agents/tools in production.
Experience building internal platforms, SDKs, developer tools, or shared engineering infrastructure.
Experience with authorization, data segregation, multi-tenant systems, or user-level data scoping.
Experience in industrial, IoT, predictive maintenance, manufacturing, or operational-data domains.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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לפני 7 שעות
חברה חסויה
Location: Haifa
Job Type: Full Time and Hybrid work
We are looking for a MLOps Engineer with strong production engineering experience building and operating scalable ML and AI systems.

This is a software-first MLOps platform role focused on production reliability, ML lifecycle management, large-scale training infrastructure, operational AI systems, and reusable platform capabilities.

You will help build and scale the production platform behind our Industrial AI Workforce, enabling teams across the company to develop, evaluate, deploy, and operate ML and AI systems consistently and safely.

A Day In Your Life
Design and evolve production MLOps capabilities across the full ML lifecycle including datasets, features, models, evaluations, deployments, monitoring, retraining, and feedback signals.
Build systems for experiment tracking, artifact management, reproducibility, versioning, lineage, promotion workflows, and production readiness.
Develop reusable platform tooling, golden paths, and engineering standards that improve consistency and delivery velocity across teams.
Build operational infrastructure for LLM and agentic systems including prompts, tools, traces, evaluations, observability, safety boundaries, and production monitoring.
Design evaluation and monitoring frameworks for AI systems including answer quality, latency, grounding, reliability, and operational regressions.
Build and optimize large-scale training pipelines supporting heterogeneous data sources and scalable compute patterns.
Write clean, modular, production-grade Python services and platform libraries.
Drive engineering quality through automated testing, CI/CD, observability, deployment standards, and operational best practices.
Requirements:
What You Bring
5+ years of professional software engineering, MLOps, or ML platform engineering experience in production environments.
Significant experience building or owning production ML infrastructure and lifecycle systems.
Strong Python engineering skills with production-grade architecture, modular design, testing, packaging, and robust error handling.
Strong understanding of the end-to-end ML lifecycle including training, deployment, monitoring, retraining, reproducibility, and lineage.
Experience working with large-scale data platforms such as Databricks, Spark, Delta Lake, or equivalent ecosystems.
Experience with ML platform and MLOps frameworks such as MLflow, Metaflow, Kubeflow, or equivalent ML lifecycle-management systems.
Proven ability to design reusable workflow orchestration using Airflow, Metaflow, or Databricks, covering automation, scheduling, dependency management, and production reliability.
Familiarity with operational patterns for LLMOps, AgentOps, and production AI systems.
Strong written and verbal communication skills in English.

Nice to Have
Experience with industrial, IoT or manufacturing platforms.
Experience with feature stores, model registries, dataset versioning, and lineage systems.
Experience with AI agents, RAG systems, production GenAI applications, or evaluation frameworks.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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לפני 7 שעות
Location: Haifa
Job Type: Full Time and Hybrid work
As our AI Applied Researcher, youll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore, research, and develop cutting-edge solutions that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team, you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, and stay at the forefront of the technologies in the world, witnessing firsthand their impact on our customers.

A Day In Your Life:
Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models.
Research, design, and build anomaly classification, predictive, insights, recommendations, and other types of models from various data sources, including sensor time-series data, textual data, images, and more.
You will Ensemble multi-modalities by exploiting and enriching the most from our data collections platform and feature extraction and store phases, using classic statistical methods, deep learning, Transformers, Graphs, Foundations Modules (as TSFM, Graph Transformer, TGNN), and any available technology to extract recommendations for taking real-world, life-changing actions.
Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data.
Work with cloud-based big data platforms for training, distributed processing & experiments tracking (e.g., Metaflow, Grafana, Outerbounds, Databricks).
Partnering and contributing to modern technologies: LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis.
As part of our hybrid working policy, you will be expected to work from the office at least twice weekly, which includes at least one day in Haifa.
Requirements:
M.Sc., or Ph.D. in Electrical Engineering, Computer Science, Physics, Mathematics, or a related field.
4+ years of experience in ML applications, including research on time-series data, ML-based vectoring, and Embeddings (as Transformers, TGNN, TSFM, Graph Transformer, GNN, CNN, etc.)
Proficiency in Python (Pytorch, Pandas, NumPy, PyG - nice to have), and Applied Science SDLC - Discovery, Research, development, fidelity, deployment, monitoring, Training, and fine-tuning
Experience in anomaly detection, abnormal behavior, outliers, pushing recall, precision, and tail metrics KPIs boundaries
Experience working with ML infrastructure such as MLFlow, Vertex AI, Sagemaker etc.
The ability to translate research into scalable, production-ready solutions.
Experience working on Agile teams with a passion for fast iterations, feedback, and continuous learning.
Proven ability to collaborate with diverse, cross-functional groups, including product managers, infrastructure, and data engineering teams.
Experience in feature engineering-based signal processing - a big advantage.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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25/06/2026
חברה חסויה
Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
Our team focuses on developing products to allow for personalizing the customers experience and providing them with real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield and large-scale engineering and science projects.

Key job responsibilities
- Own architecture and feature development for our Personalization and CV/ML teams.
- Partner with other engineers to ideate, design, and build scalable solutions.
- Utilize data science and ML to develop products that deliver great experiences for customers.
- Tackle complex technical challenges across the stack - from data pipelines to large scale services.
Requirements:
Basic Qualifications
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design.
- Strong experience in software development.

Preferred Qualifications
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- An interest or experience in the field of Computer Vision and/or Recommendation Systems.
- Experience of or interest in working with applied science teams and deploying ML model in scale.
- Strong bias for action; ability to juggle multiple priorities and create a sense of urgency in a fast-paced, dynamic environment.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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10/06/2026
Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint.

Key job responsibilities
- Design, build, test, and operate production AI features used by multiple teams and operating at our scale.
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention.
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply.
Requirements:
Basic Qualifications
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
- 5+ years of non-internship professional software development experience
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design.
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.

Preferred Qualifications
- Experience building server-side rendered web experiences (SSR) and performance-oriented UI rendering patterns.
- Experience with experimentation (A/B testing), analytics instrumentation, and metrics-driven iteration.
- Familiarity with AI/ML integration and generative AI applications.
- Experience with end-to-end SDLC ownership, including operations and on-call, monitoring/metrics, and incident response/RCA.
- Experience mentoring engineers and driving engineering best practices.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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10/06/2026
Location: Haifa
Job Type: Full Time
We are seeking an Applied Scientist to help build our next-generation customer memory and personalization systems.

As an Applied Scientist, you will design and build ML and LLM-powered solutions for our customer memory and personalization systems. You will work on how customer knowledge is extracted, validated, and applied in production systems.

You will own the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scale. You will deliver high-quality, scalable systems that power customer-facing experiences.
You will drive work across areas such as fact extraction, memory quality and lifecycle, temporal reasoning, and grounded personalization, while navigating tradeoffs between quality, latency, and coverage.
You will collaborate closely with engineering and product teams to translate research into measurable customer impact.
Requirements:
Basic Qualifications
- Knowledge of programming languages such as C/C++, Python, Java or Perl.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- PhD, or a Master's degree and experience in CS, CE, ML or related field research.
- Strong communication and collaboration skills.

Preferred Qualifications
- Experience in building and launching deep learning and machine learning models for business applications.
- Solid knowledge of big data and cloud technologies (e.g., Spark, AWS, etc.).
- Experience with information retrieval, recommender systems, natural language processing, and/or personalization algorithms.
- Publications at top Web, Machine Learning, Natural Language Processing conferences such as KDD, ICML, NeurIPS, ACL, EMNLP, etc.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
10/06/2026
Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint.

Key job responsibilities
- Design, build, test, and operate production AI features used by multiple teams and operating in our scale.
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention.
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply.
Requirements:
Basic Qualifications
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
- 5+ years of non-internship professional software development experience
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design.
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.

Preferred Qualifications
- Experience building server-side rendered web experiences (SSR) and performance-oriented UI rendering patterns.
- Experience with experimentation (A/B testing), analytics instrumentation, and metrics-driven iteration.
- Familiarity with AI/ML integration and generative AI applications
- Experience with end-to-end SDLC ownership, including operations and on-call, monitoring/metrics, and incident response/RCA.
- Experience mentoring engineers and driving engineering best practices.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8688941
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
Required Software Engineer III, Infrastructure
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
About the job
Our software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Responsibilities
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Requirements:
Minimum qualifications:
Bachelors degree or equivalent practical experience.
2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
Preferred qualifications:
Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with data structures and algorithms.
Experience developing accessible technologies.
Experience working with EDA tools or chip design.
Ability to apply Artificial Intelligence/Machine Learning techniques to generate insights for users.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8717581
סגור
שירות זה פתוח ללקוחות VIP בלבד
סגור
דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
Location: Tel Aviv-Yafo and Haifa
Job Type: Full Time
Required ChipDev CAD Engineer, Hardware, Cloud
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Haifa, Israel; Tel Aviv, Israel.
About the job
Our Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Responsibilities
Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance software solutions.
Create software solutions that improve the hardware design process through automation. Propose, design, and implement software automation that directly addresses bottlenecks in today's ASIC and SoC EDA flow.
Work directly with the hardware team on projects prototype and then deploy tools to make a positive impact on our chip hardware development process. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Triage product or system issues and debug/track/resolve by analyzing the issues and the impact on hardware and quality.
Requirements:
Minimum qualifications:
Bachelors degree or equivalent practical experience.
4 years of experience building developer tools that improve developer velocity, code quality, and code health (e.g., compilers, automated).
4 years of experience with software development in one or more programming languages, and with data structures and algorithms.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Preferred qualifications:
3 years of industry experience with high performance, large-scale systems, and debugging.
Experience in chip design and related EDA tools and flows.
Deep understanding of object oriented programming and functional programming.
Proficiency in code and system health, diagnosis and resolution, and software test engineering.
Ability to write and understand SystemVerilog register transfer level (RTL) code.
Excellent software skills and design practices.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8717592
סגור
שירות זה פתוח ללקוחות VIP בלבד