דרושים » הנדסה » Senior Software Engineer \ Search Engineer (Elasticsearch & Vector Search)

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 are looking for a Senior Software Engineer to join our team developing the core technologies behind our SmartNIC platform. Your work will directly impact next-generation AI infrastructure, cloud networking, and high-performance data centers used by customers around the world.

As part of the team, you will contribute to the DOCA SDK (Our DOCA Software Framework), enabling developers to build hardware-accelerated, cloud-native networking and security applications. You will also collaborate on the Linux Foundation's DPDK project, helping deliver industry-leading packet processing performance and scalable networking solutions.

What you'll be doing:

Architect, design, and develop next-generation networking acceleration technologies.

Build and enhance core software components for programmable, high-performance pipeline execution.

Develop software abstractions and infrastructure that expose sophisticated platform capabilities in a scalable and maintainable way.

Optimize execution flow, data movement, and software performance across complex features and workloads.

Work closely with architects, customers, and engineering teams to understand requirements and deliver high-quality solutions.

Collaborate across the software stack, including applications, SDK and runtime layers, drivers, Linux kernel, firmware, and hardware teams.

Drive technical decisions and play a role in crafting the build of performant, maintainable software.

We are looking for an experienced SW Engineer with desire and ability to contribute and lead cutting edge Network Management System of most powerful super-computers in the world. Our team is growing, and we are looking for hardworking and self-motivated engineers to lead building of advanced, high scale SDN management solutions. You will be part of a dynamic team, working with amazing people. This crucial role will give you a rare opportunity to craft and deliver a new class of Data Center NMX product line.

What you'll be doing:

The team develops infrastructure for controlling, monitoring and gathering telemetry from production environments, running on the worlds largest supercomputers and data centers.

The work environment is dynamic and challenging; we are innovating and inventing software products at the forefront of technology in terms of performance, scalability, and features.

Our team works closely with other engineering teams to co-design new features and software APIs

We are looking for a visionary engineering leader to architect and lead our quality engineering discipline into the AI era. You will own automation infrastructure, performance engineering, and all AI-driven quality initiatives - building and mentoring high-performing teams of engineers and architects who set the standard for how modern software is validated at scale.
This is not a maintenance role. You will disrupt legacy testing paradigms, champion agentic test generation, and embed AI-quality thinking into every stage of the SDLC - from the first commit to production monitoring. You will be the organizational bridge between engineering velocity and product reliability.
How will you make an impact?
AI Quality Strategy
Define and lead all AI-augmented quality initiatives across the organization
Deploy LLM-powered test generation, triage, and root-cause analysis tooling
Build frameworks for validating AI/ML model outputs and non-deterministic behaviors
Evaluate and integrate emerging AI quality toolchains (GitHub Copilot, Claude, agents)
Champion responsible AI testing practices, coverage standards, and governance models
Automation Engineering
Own the full automation strategy across UI, API, and integration layers
Architect scalable, maintainable test frameworks
Drive shift-left testing embedded in CI/CD pipelines (Jenkins, GitHub Actions)
Establish coverage KPIs, flakiness SLAs, and automation ROI metrics
Lead adoption of self-healing and AI-assisted test maintenance
Performance Engineering
Lead performance and load testing strategy at enterprise scale
Define SLOs/SLAs and partner with SRE on reliability thresholds
Design continuous performance validation integrated into delivery pipelines
Drive root-cause analysis for regressions, bottlenecks, and latency spikes
Oversee toolchain including k6, JMeter, Gatling, and APM integrations
People & Org Leadership
Lead and grow teams of automation engineers, performance engineers, and architects
Set technical direction, OKRs, and career ladders for the quality engineering org
Hire senior ICs and architect-level talent; build succession depth
Foster a culture of ownership, engineering craft, and continuous learning
Partner cross-functionally with Product, DevOps, and R&D leadership.

This role will expand and accelerate the signing platform engineering and scales the operational support to Israel. You would be the first member of Cryptographic Services located in Israel, and the local owner of signing services. We intend to grow this into a local team. Are you ready to help build it!

What you'll be doing:

Own 3S for Israel-based teams during local hours: triage, debug, resolve, and advance with context when it needs the wider US and India team.

Do the engineering, not just the ticket. Review and deploy production fixes, and take root causes back into the platform so the same failure does not return.

Onboard Networking and other Israel-based teams onto signing and key generation flows, and make that onboarding fast.

Drive AI-enabled automated self-service - the 3S Copilot, our MCP integrations, runbooks and docs - so the region can unblock itself without waiting for any time zone.

Be the regional voice in our planning: bring release calendars and bring-up achievements into our roadmap before they become blocking issues.

Partner closely with the US and India teams, and with Networking DevOps and release management in Israel.

Help hire and mentor the team as it grows, including interviewing and onboarding the engineers who follow you.

We're looking for a Data Science Tech Lead to take technical and delivery ownership of this team, a hands-on senior IC role. You'll set research direction, own client-facing delivery end-to-end, and drive how the team builds and scales its use of GenAI tooling and agentic capabilities. You'll work closely with other data scientists & analysts and partner daily with Solutions, Implementation, and Engineering. This role comes with real latitude to shape research direction and influence our product offering and roadmap - not just execute against a backlog.

What you will do
1. Research Direction

Set the technical research agenda for our tabular prediction models.
Guide how we incorporate temporal signal - case history, lag features, schedule snapshots- without defaulting to time-series techniques that don't fit our data.
Own our strategy for extracting value from unstructured data sources via LLMs - feature extraction, embeddings, or fine-tuning - balancing accuracy, cost, and constraints like latency and privacy.
Set standards for experimentation, evaluation, and model guardrails.
2. Client Project Delivery

Own DS delivery end-to-end across concurrent client engagements - from discovery through modeling, validation, and go-live.
Partner with Solutions and Implementation on discovery and rollout; represent Data Science in client meetings, presenting results directly to stakeholders.
Ensure delivery lands inside the product, on timeline, coordinating with Engineering on productionization.
Track delivery risk across the client portfolio, flagging blockers and scope changes early.
3. GenAI Tooling & Team Capability

Build the team's onboarding and delivery playbook for new use-cases and encode it as reusable Claude skills/agents
Turn repeatable steps in the DS workflow into standardized, shared tooling.
Raise the team's GenAI fluency through mentoring on Claude Code and related tooling.

We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking, virtualization, and security. You will play a key role in validating and testing complex software products that support Ethernet and InfiniBand protocols, delivering advanced networking, storage, and security services for cloud, compute, and AI workloads.

What Youll Be Doing:

Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products.

End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test planning through to final implementation and full automation.

System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools.

Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools.

Collaboration & Communication: Work closely with software, DevOps, architecture, and product teams to define test requirements, coordinate releases, and ensure high-quality product delivery.

Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.

Defect Analysis: Analyze test results, file defects, and track issues to closure, ensuring robust and scalable solutions.

We are looking for an outstanding Software Engineer to join our Video/Multimedia Architecture & Algorithms (A&A) team - the people who build tomorrows NVENC and NVDEC, the dedicated video encode and decode engines that power streaming, cloud gaming, video conferencing and broadcast on every modern our GPU. You will be the software-craftsmanship anchor of a small Software team inside A&A. You will craft and implement the core components developed using C++ alongside Python. These components support our research and product paths. You will raise the engineering bar across the group. You will also guide research code through to the shipping NVENC/NVDEC SDK.


This is a hybrid role - 4 days per week from the office.


What You'll Be Doing:
Work closely with our Architects and Algorithms Engineers to understand the needs and build, implement and/or optimize the most elegant solutions - in modern C++ and Python
Set the bar for what good software means inside A&A: reviewing code, mentoring engineers from non-software backgrounds, and bringing the rest of the group up with you
Implement detailed, focused tweaks into the SDK and the wider video stack. These changes let researchers test new ideas without forking the world. Walk research code through to a shipping NVENC/NVDEC release when needed.
Profile and optimize critical paths in the codec stack; reach for CUDA when CPU-side optimization is not enough
Build and sharpen the small libraries, frameworks and tools the team uses every day, and make sure they are a joy to work with

The Director of Engineering - Performance Management at our company is responsible for leading and
managing the engineering teams that design, build, and maintain the companys PM product. This role ensures the delivery of high-quality, scalable, and reliable solution
that support our companys customers
How will you make an impact?
Lead the PM engineering organization, ensuring alignment with company
goals
Oversee the design, development, testing, and deployment of PM
micro services
Manage resource planning, delivery milestones, and overall product quality
Ensure system capacity planning and operational support for the PM
Establish and enforce development standards, tools, and methodologies
Integrate customer and business requirements into engineering efforts
Stay current with AI and Agentic technologies such as reasoning models, LLM, SLM, AI SDLC, Agentic coding and agents orchestration
Manage global distributed team across multiple sites
Recruit, develop, and retain top engineering talent.

We're looking for an AI Workflow Engineer to join our System Architecture group. This is a high-impact role where you'll design, build, and continuously improve AI-powered workflows, agents, and tools that help our architects do their best work - from system design and modeling through documentation, technical decision-making, and review.
Working from within the architecture team, you'll turn the group's real, day-to-day pain points into practical AI-assisted solutions. Your primary focus is system architecture within the software development lifecycle (SDLC), and because architecture touches everything, your work will naturally extend into adjacent stages wherever AI can add value.
Key Responsibilities:
Design and build AI-powered workflows, agents, and internal tools that support system architecture work - design, modeling, documentation, architecture decisions, and reviews.
Develop and iterate on agents within our internal framework, using agentic AI techniques to accelerate and augment architecture and engineering tasks.
Continuously improve existing workflows and tools as team needs evolve and AI capabilities advance.
Partner closely with the System Architecture team to understand real pain points and turn them into practical, AI-assisted solutions.
Measure and demonstrate the impact of the workflows you build - for example on design-cycle time, review turnaround, and the quality and completeness of architecture documentation and decision records.
Build proof-of-concept projects that show the practical value of AI in real architecture and engineering workflows.
Develop best practices, prompt engineering guidelines, and reusable patterns for AI-assisted architecture and development.
Stay current with the rapidly evolving AI tooling landscape and advise on strategic adoption.