לוח משרות דרושים מהנדס תוכנה בכיר, לחיפוש זה נמצאו 321 משרות

Were seeking an exceptional Principal Engineer to shape the technical direction and long-term architecture of Imaging Platform.
In this role, youll lead complex, cross-organization initiatives and drive architectural strategy across multiple systems and teams, while staying close to the code and ensuring decisions are grounded in real-world implementation.
Youll work directly with engineering and product leadership to define how our platform evolves - ensuring scalability, reliability, and performance as we grow.
Youll partner with senior engineers across domains to establish technical standards, solve high-impact problems, and align the organization around key architectural principles.
This role combines strategic architectural ownership with active technical contribution - you will stay close to the systems and code, ensuring architecture and reality evolve together.
Responsibilities:
Lead company-wide or cross-team technical initiatives, ensuring architectural alignment across multiple product areas.
Define and drive long-term technical strategy for the Imaging Platform in collaboration with engineering leadership.
Provide architectural guidance, conduct design reviews, and mentor senior and staff engineers.
Lead and formalize engineering best practices around performance, reliability, and observability.
Contribute hands-on to architectural spikes and first-of-a-kind implementations where deep expertise is required.
Evaluate emerging technologies and identify opportunities to improve scalability, developer productivity, and overall system robustness.
Represent the group in company-wide architecture discussions and technical forums

we are looking for a Senior Software Engineer.
The Senior Software Engineers main responsibilities are developing the customer-facing products, enhancing medical workflows, integrating with our AI solutions, and growing our products scale both on technical aspects as well as scaling our product offerings.
Responsibilities:
Work as an integral part of our senior (and super strong) development team.
You will have a leading role, central responsibility and will be the owner for the design and development of many of our customer-facing components and projects (both frontend, backend and databases).
Receive end-to-end ownership for product features from ideation to deployment, and work closely with Product and UX to bring the teams imagination to life.
Be trusted with autonomy, freedom and influence to design solutions and make technical decisions, in a critical position for the companys growth.

Were seeking an exceptional Principal Engineer to shape the technical direction and long-term architecture of AI-first development tools.
Youll report to the companys co-founder and Chief Architect, and drive meaningful change to the whole R&D department, setting standards of how engineering is done well and productively.
In this role, youll lead complex, cross-organization initiatives and drive architectural strategy across multiple teams, while staying close to the code and ensuring decisions are grounded in real-world implementation.
Youll work directly with R&D leadership and all R&D teams to define and build the tools which will make R&D organization 10x faster and better thanks to the new AI capabilities of the world.
We will work in startup mode - close to our users, delivering value in quick iterations, while keeping very high engineering standards.
Responsibilities
Define and drive long-term strategy for AI-first dev tools in collaboration with engineering leadership.
Define, develop, and integrate tools based on the latest AI technologies for the benefit of R&D department.
Lead company-wide technical initiatives, ensuring alignment across multiple teams.
Lead and formalize engineering best practices around performance, reliability, and observability.
Evaluate emerging technologies and identify opportunities to improve scalability, developer productivity, and overall system robustness.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructure-someone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacks-its about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakes-designed for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.
Operate and debug object store-backed data lake infrastructure, enabling schema-on-read access, high-throughput ingestion, advanced searching strategies, and performance tuning for large-scale workloads.

We are looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI - shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work.
This is a **cross-functional, company-wide role**. You won't be embedded in a single product team - instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization.
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
What You'll Do:
- Design, build, and operate LLM-powered applications, agents, and workflows end-to-end - from prototype to production.
- Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient.
- Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows.
- Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems.
- Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities.
- Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack.

We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals. Work in a team of top-of-the-line software engineers, developing state-of-the-art AI OS platform for deployment in the Cloud to serve mission-critical enterprise-level data.
Cloud software design includes:
A highly scalable distributed platform featuring complex high-availability mechanisms, and advanced APIs, interoperable with a diverse software ecosystem.
Deploying OS in all major hyper-scalers cloud vendors
Location: Tel Aviv/Haifa.

You will take ownership of the search infrastructure for Ask us - a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques.

Tech Stack: Elasticsearch (v8+), Python (FastAPI, Asyncio), OpenAI Embeddings, LangChain, LangSmith.

What You'll Do:
Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth').
Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith).
Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts.
Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters.
Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily.

We're hiring a senior AI Engineer to join our AI team building our autonomous AI agent and helping extend AI capabilities across the company.

What You'll Do

Design and ship our agent systems end-to-end - perception, reasoning, memory, retrieval, and the loops that connect them. Production agents, not prototypes.
Optimize multimodal inference for real-time operation at the edge - model choice, quantization, and batching to hit our latency and concurrency budgets.
Design embedding pipelines, vector storage, and hybrid retrieval that power the agent's search, behavioral analytics, and rule generation.
Architect how multiple edge units coordinate at scale - sharing context, correlating activity, and behaving as one coherent system for our largest deployments.
Build the agent's air-gapped lifecycle - updating, learning, and evolving entirely inside customer private networks with no cloud connectivity.
Run focused research on new open-source models and inference frameworks, and bring back insights and prototypes that inform our roadmap.
Plus occasional cross-company AI projects across the rest of the company.

As an FDSE, your responsibilities look similar to those of a startup CTO: youll work in small teams with minimal supervision and own end-to-end execution of high stakes projects. Your day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing strategy for your team.

Whether you aspire to be an entrepreneur or an engineering leader, we believe Palantir is the best place - with the best colleagues - to learn how. Youll learn how to unpack a problem and understand the costs and consequences of its solution. Youll learn new technologies and languages, and even develop them yourself. Youll work autonomously and make decisions independently, within a community that will support and challenge you as you grow and develop.
Our Principles
Impact: We take on meaningful and challenging projects that change the world for the better.
Ownership: We see projects through from beginning to end, working through any obstacles we may encounter.
Collaboration: We work internally with people from a variety of backgrounds - such as other FDSEs, product teams, and Deployment Strategists. We also work externally with our customers, often on site, to understand and solve their problems.
Trust: We trust each other to effectively manage time and priorities and give people the space to think for themselves.
Growth: We encourage ourselves and our peers to seek new challenges and opportunities for growth, as well as find new ways to innovate and share knowledge.
Learning: We often face entirely novel problems where we need to pick up a lot of new knowledge and learn how to use it to make progress. We believe experiential learning is one of the best teachers.

Parametric Technology Israel Ltd. The team is part of a global group - working on developing top 3D MCAD tool (Creo). At this role you will be implementing and supporting algorithms for all kinds of Analysis (geometrical, Mass Properties, Mechanical, etc.).

If you are curious, collaborative and motivated, and would like to be part of an exceptional team of experts, then your place is with us!

We seek a passionate, software-oriented, Senior Software Engineer to join the R&D team.

You will be joining the team responsible for our autonomous systems development. You will take part in all aspects of the process - from customer needs mapping and definition, through algorithms design, prototyping, and implementation, to production, continuous deployment and support.

Responsibilities - what youll be doing:

Design and develop our robot infrastructures
Be a source of knowledge for architecture, standards & development strategies
Own code lifecycle & standards
Collaborate closely with cross-functional teams, including product, robotics, hardware engineers, and software developers, to understand system requirements and translate them into software infrastructure solutions

Our mission is simple: help our customers grow their top-line revenue by leveraging the massive sales networks, programs, and brand power of the hyper-scalers.
What Youll Do:
Design and build the full architecture of an Agentic Platform
Own end-to-end development - from infrastructure to user-facing features
Work across multi-cloud environments (AWS, GCP, Azure)
Deeply integrate AI tools and models (OpenAI and others) into the core product
Make independent architectural and product decisions with high autonomy

Were building a runtime code sensor that operates where most tools dont: inside running applications. Our goal is to give engineers and AI agents real-time, high-fidelity visibility into how code actually behaves in production - under real load, real traffic, and real failures.
This role blends deep systems engineering with applied research. Youll dive into runtime internals, explore undocumented behavior, design low-overhead instrumentation, and turn research insights into production-grade components that safely run in customer environments. One day you might analyze GC or JIT behavior; the next, design tracing mechanisms that survive real-world distributed systems.
If you get excited about runtime internals, enjoy breaking (and fixing) complex systems, think like both a researcher and a production engineer, and care deeply about performance, safety, and correctness - youll feel right at home here. This is a hands-on, high-impact role for engineers who want to ship technology that engineers actually trust to run in their most critical services.
Engineering Excellence / Mindset
Ability to anticipate technical risks, identify bottlenecks, and drive long-term engineering improvements.
Takes ownership of code quality, documentation, reliability, and observability.
Comfortable working with product teams to balance technical trade-offs with user and business needs.
Autonomous and proactive; capable of mentoring others or leading technical initiatives.

We are looking for a Senior Front-End Infrastructure Engineer to help shape the foundation of our digital ecosystem across multiple brands and products. You will build the infrastructure, tooling, and engineering capabilities that enable teams to move faster, release with confidence, and scale effectively. Your work will directly impact developer experience, platform reliability, performance, experimentation capabilities, and the overall success of our digital brands.
This role is focused on solving complex engineering challenges with organization-wide impact. We are looking for a developer with deep technical expertise, a platform mindset, and a strong sense of ownership, someone who understands how engineering decisions drive business outcomes and enjoys building solutions that improve how teams build, test, release, and scale software across the organization. You will partner closely with Engineering, Product, QA, Data, and DevOps teams to help shape the future of our frontend ecosystem.
Roles & Responsibilities:
Build and evolve the frontend infrastructure, shared tooling, reusable components, and engineering foundations that support multiple brands and product teams
Improve frontend performance through modern web architecture patterns, including server-side rendering, caching strategies, and request middleware
Drive initiatives that improve Core Web Vitals, performance, reliability, and user experience at scale
Own and enhance frontend CI/CD pipelines, release processes, and production readiness practices to enable fast, safe, and reliable deployments
Establish monitoring, observability, and incident response practices that improve platform reliability and production visibility
Build solutions for experimentation, feature flagging, and controlled rollouts to improve reliability and support data-driven decision making
Lead cross-functional technical initiatives, partnering with Engineering, Product, QA, Data, and DevOps teams to solve complex platform challenges
Act as a technical owner for strategic frontend infrastructure initiatives, leveraging modern technologies and AI-powered development workflows to drive long-term platform improvements and organizational impact
Provide technical guidance through code reviews, engineering standards, and knowledge sharing across teams.

What you'll be doing
Agent architecture: Design the evolution from today's production single-agent system to a multi-agent one: orchestration, task decomposition, runtime and framework choices, and a migration path that does not break what design partners already rely on.
Agent capability: Own the prompts, context, skills, and tool design that make the agent genuinely good at detection engineering across multiple security platforms, not just plausible-sounding.
Evaluation platform: Build the harnesses, judges, and golden datasets that turn "the agent feels better" into a number, plus the CI gates that keep regressions from shipping.
Reliability and safety: Keep long-running agentic sessions healthy in production, and build the isolation and guardrails required of an agent working inside enterprise security environments.
Production debugging: Work real failures from production traces, and turn each one into an eval case that can never regress silently.
Technical direction: Make the calls on architecture, sequencing, and quality bar and be accountable for the outcome, including raising how AI-natively the whole team builds.
Cross-team partnership: Partner with product and customer-facing teams on what the agent should do, and with platform teams on the data and integrations it depends on.