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Were looking for a Full Stack Engineer who wants to build, not just maintain. Someone who gets excited about laying down core infrastructure, shaping technical vision, and shipping real product fast. This is a hands-on role with tons of room to grow and influence the direction of the company.

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What Youll Do
Own big pieces of the product: Youll lead core projects that shape how teams experience Shapes, making complex workflows feel dead simple.
Ship fast and thoughtfully: We care about great engineering and moving quickly. Youll set the tone for both.
Build the foundation: From infrastructure to frontend components, youll help create the building blocks that unlock entirely new use cases for our customers.
Make us scale like magic: As usage explodes, youll make sure our product stays fast, stable, and elegant behind the scenes.
Collaborate deeply: Youll work side-by-side with design, product, and go-to-market teams to bring ambitious ideas to life, and help shape the technical culture as we grow.

Were looking for a Senior full stack Engineer who wants to build, not just maintain. Someone who gets excited about laying down core infrastructure, shaping technical vision, and shipping real product fast. This is a hands-on role with tons of room to grow and influence the direction of the company.

What Youll Do
Own big pieces of the product: Youll lead core projects that shape how teams experience Shapes, making complex workflows feel dead simple.
Ship fast and thoughtfully: We care about great engineering and moving quickly. Youll set the tone for both.
Build the foundation: From infrastructure to frontend components, youll help create the building blocks that unlock entirely new use cases for our customers.
Make us scale like magic: As usage explodes, youll make sure our product stays fast, stable, and elegant behind the scenes.
Collaborate deeply: Youll work side-by-side with design, product, and go-to-market teams to bring ambitious ideas to life, and help shape the technical culture as we grow.

Required Software Engineer III, Technical Infrastructure
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.
With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Responsibilities
Design, develop, and maintain advanced software modeling tools and simulation environments.
Leverage C++, Python, and experimental AI-driven methodologies to perform deep-dive studies and automate analytical workflows.
Conduct in-depth security analysis and threat modeling for hardware-software interfaces.
Develop and implement methodologies for detecting, mitigating, and analyzing side-channel and micro-architectural vulnerabilities, ensuring our systems meet the highest standards of safety and privacy.
Explore, deploy, and scale experimental AI-driven tooling to automate verification workflows, enhance predictive modeling, and accelerate development cycles. Contribute to expanding the team's suite of AI-assisted capabilities.

we are looking for a Staff Software Engineer
Your Role:

Solve some of the teams toughest technical problems and build solutions that hold up as the product grows.
Partner with product managers, architects, and other engineers on technical approach and planning, contributing perspectives that can extend beyond your immediate area when its useful.
Act as a go-to technical resource for complex design and architecture questions, helping ensure solutions hold up against business needs, compliance standards, and long-term maintainability.
Take ownership of the most complex technical issues that come up in your systems, driving root cause analysis and fixes that hold up over time.
Mentor other engineers through code review, design discussions, and everyday guidance, helping raise the technical bar around you.
Bring a high bar to your own code and design work, and help others do the same through thoughtful review and knowledge sharing.

We are looking for an experienced Software Engineer (4+ years) to join the team as an AI Integration Engineer, supporting one of our enterprise clients as part of their AI-Native Development program.
In this role, you will act as an AI Champion and Technical Mentor within the clients R&D organization. Your mission is to help development teams effectively integrate AI tools, agentic coding workflows, and best practices into their daily software development lifecycle (SDLC). You will help guide teams through AI adoption, help overcome resistance, and ensure AI delivers real value.
This is not a feature-delivery or coding-focused role, especially in the early stages, the position is centered on enablement, training, and integration, working closely with teams to embed AI development tools into real workflows and support the organizations AI transformation.
This is a high-impact role focused on technical enablement, AI expertise, and effective collaboration with development teams, and intended for experienced engineers who actively use AI in their day-to-day development work and are looking to influence how teams work, rather than for junior profiles or engineers seeking a purely coding-focused position
What Youll Do:
Help drive adoption and optimization of Claude Code and/or similar Agentic coding tools
Support software and QA engineers, answer technical questions and help unblock teams
Stay on the cutting edge of AI releases and best practices, turn your learnings into shareable assets (custom rules, agents, skills, demos, playbooks, etc.)
Measure impact, identify gaps and improvement opportunities across the SDLC
Help defuse resistance to change with patience and empathy
Partner with DevOps, architects and management to track and optimize AI utilization.

Were expanding a fast-growing practice that helps engineering teams leverage AI in their SW development lifecycle and transform into AI-native teams. Weve served dozens of satisfied customers in Israel and abroad and are now hiring a hands-on engineer to lead and drive R&D AI transformation programs, AI tooling adoption & tracking, create resources and run training at scale.
Key Responsibilities:
Own the AI R&D transformation and Agentic SDLC agenda across multiple clients: assessments, KPIs, rollout plans, training, champions programs, skills/agent developments, etc.
Lead AI Coding Tooling optimization end-to-end, plus evaluate/compare adjacent tools (e.g. Claude Code, Cursor, GitHub Copilot, Kiro, etc).
Create training materials (slides, exercises, demos) and deliver workshops; Train teams yourself and mentor trainer bench.
Develop AI infra & tooling, dashboards, frameworks, playbooks and AI resources (skills, agents, hooks, MCPs, etc) for clients to enable transformation, automation and governance
Partner with Sales/Delivery on pre-sales to attract new customers.
Stay on the cutting edge of releases and best practices, turn learnings into repeatable packages.

We are looking for an ATE Engineer to join our multidisciplinary team in central Israel.
The role involves developing and implementing complex automated test solutions, from requirements analysis through direct integration with hardware and Automated Test Equipment (ATE).
Key Responsibilities
Translate Test Requirements Documents (TRD) into automated Test Sequences/Scenarios using NI TestStand or OTM (ORION).
Develop, maintain, and enhance automated test sequences and deploy them in laboratory environments.
Integrate measurement instruments and communication protocols with ATE systems, perform debugging, and support troubleshooting activities.
Develop software components and DLLs in C# or C for hardware communication, when required.
Work closely with Hardware, Electronics, and Integration teams, including reading and interpreting electrical schematics.

We are looking for an Analytics Engineer (contract) to join Artifactory Product Analytics and build the data platform behind how we measure our products. You will own the engineering side of analytics: designing product telemetry with PMs and R&D, modeling that data into trusted, reusable datasets in the warehouse, and making those datasets easy for analysts and stakeholders to consume. Product analysts own the product questions and metric definitions; you make the data underneath them fast, consistent, and dependable.
You will work inside an AI-native analytics environment (Cursor, Claude, and similar coding agents) as the default way of shipping - not as an optional add-on.
Fixed-term contract: 6-8 months. Start date: October 12, 2026.
Responsibilities:
Design telemetry: partner with PMs and R&D to define event and data specs for product usage - schemas, properties, validation, and the path into the warehouse (core, ongoing part of the role)
Build the modeled layer: develop and maintain dbt transformation models (staging → intermediate → gold) so Artifactory product data is consistent, tested, documented, and reusable
Enable self-serve: with the analysts, design and implement how stakeholders reach certified product data so recurring questions don't need a custom pull
Align definitions: standardize entities, grain, and model structure across Artifactory areas together with the analysts who own product meaning
Ship in an AI-native workflow: specs, SQL, dbt models, reviews, and documentation done in Cursor / Claude and equivalent tools.

This role sits at the intersection of AI and high-performance systems engineering, focused on solving real-world problems under strict constraints. You will work on systems where performance and reliability are critical and where improvements have a direct, measurable impact on real-world safety.

This is a senior, systems-focused role with end-to-end ownership over performance and reliability of production computer vision pipelines. You will define optimization strategies, identify bottlenecks across the system, and drive improvements under real-world constraints.

What youll do
Build and optimize real-time computer vision pipelines running on edge systems processing live maritime video streams (e.g, NVIDIA Jetson, Triton Inference Server).
Take models from research and turn them into production-ready, reliable components deployed on vessels.
Profile and improve end-to-end system performance across: multi-camera video ingestion; preprocessing; inference; postprocessing.
Identify and resolve bottlenecks across CPU, GPU, memory, and pipeline coordination.
Make and justify tradeoffs between latency, accuracy, stability, and resource utilization.
Design and implement robust data and inference pipelines (video -> model -> actionable output for crew).
Develop benchmarking and evaluation workflows to measure performance end-to-end and support release gating.
Build and improve observability tools, including logging, monitoring, and debugging workflows for production systems.
Define and maintain clear interfaces between research code and production systems.
Work closely with research and backend teams to integrate new models into production systems.
Continuously improve system efficiency and reliability under hardware and runtime constraints.

We are hiring a Senior Robotics Software Engineer to build the system the autonomy runs inside. You own the runtime - ROS2 architecture, module lifecycle, orchestration, state management, configuration, fault handling, and both ends of the stack: World Model ingestion and the Vehicle Interface down to the platform control systems.

You will face hard real-time constraints, embedded compute, and a system that has to keep behaving correctly when parts of it do not. You own the stack across its full depth, from the interfaces at its edges to how the whole thing behaves in the water.

What Will You Do?
Own the autonomy runtime: ROS2 and modern C++ architecture, module lifecycle, orchestration, state management, data flow, configuration, fault handling and recovery
Implement the system's two contracts: World Model ingestion and Vehicle Interface adapters to the platform control systems
Own deployment to the vessel compute: builds, packaging, versioning, configuration management and CI
Work with system engineering and field teams on vessel bring-up, sea trials and debugging in the field
Build logging, recording, replay and observability - the ability to take any run at sea and reproduce it exactly on a desk
Integrate and operate the simulation environment (SIL)
Own reliability, timing and performance of the stack on embedded hardware

We are hiring a Principal Autonomy Engineer to architect and lead the autonomous navigation stack of our unmanned surface vessel. You will own the architecture end to end - World Model, planning, decision making, vehicle interface, and you will decide how the brain itself is built: module decomposition, behavior architecture, arbitration, state ownership, and the core technology choices behind them. You will define technical requirements and reference scenarios, own the safety and degradation architecture, and hold the interfaces between autonomy, perception, the vessel platform and the field teams.

This is not an architecture role away from the code, but it is a leadership role. You will set the technical direction of the group and you will write the parts that matter most yourself - hands on principal.

What Will You Do?
Own the end-to-end architecture of the autonomous navigation stack: World Model - Planning - Decision Making - Vehicle Interface.
Define and own the World Model Contract: representation, uncertainty, timing and synchronization, coordinate frames, confidence and degradation modes.
Define and own the Vehicle Interface Contract: command semantics, platform guarantees, latency and failure behavior, and the abstraction that keeps the stack portable across platforms.
Decide how the autonomy brain is structured - module decomposition, behavior architecture, arbitration between behaviors, state ownership, data flow.
Design the safety and fail-safe architecture: degradation ladder, safe-state transitions, operator intervention, fault containment.
Stay hands-on in planning and decision-making code where the hardest problems are.
Lead technical hiring and technical direction for the autonomy group as it grows.

we are looking for a Senior SW Engineer [Codegen]
Job Description

Join a multi-disciplinary team of experts operating at the core of Speedatas software stack

Lead the design and implementation of highly efficient algorithms that maximize our performance

Develop time-critical Python components that translate database operations to performant, hardware-optimized C++

Co-design the next generation of our architecture alongside Hardware & Software engineering leads

Research state-of-the-art algorithms and techniques for data analytics and hardware acceleration

Fly high with the SW, and dive in for a byte of the HW

We're looking for a Senior Fullstack Software Engineer to build intelligent backend infrastructure and exceptional user experiences that power our platform. You'll work directly with LLMs, design scalable systems, and ship production AI features that transform how legal teams operate worldwide. If you love owning features end-to-end and moving fast, we want to hear from you.


What You'll Do

Own features end-to-end, from design through deployment across the full stack

Build scalable backend services and APIs using Python (FastAPI, Pydantic, Postgres, MongoDB)

Create responsive, performant frontend experiences with React.js

Develop integrations with enterprise platforms like Salesforce, Google Drive, SharePoint, and DocuSign

Work hands-on with LLMs and build the connecting logic between AI capabilities and business systems

Partner with ML engineers, AI researchers, and legal domain experts to deliver impactful solutions

Contribute to architectural decisions and help establish engineering best practices as we scale

We are seeking an experienced DevOps Engineer to join our Engineering team and play a key role in building and operating our cloud-native platform. The ideal candidate will have hands-on experience managing production environments at scale, driving cloud transformation initiatives, and supporting the of enterprise systems from on-premises deployments to modern SaaS and cloud-native architectures. You will be responsible for designing, automating, and maintaining scalable infrastructure, CI/CD pipelines, and deployment processes that support both our core products and emerging AI-driven capabilities. Working closely with Engineering, QA, Product, and AI teams, you will help ensure the reliability, security, and performance of our services while driving operational excellence and continuous improvement across our technology stack.
Responsibilities:
Design, implement, and maintain CI/CD pipelines.
Manage and optimize cloud infrastructure across AWS, Azure, and/or GCP.
Develop and maintain Infrastructure as Code using Terraform.
Manage Kubernetes-based environments and GitOps deployment workflows using Argo CD and
Kustomize.
Lead and support the migration of enterprise applications and infrastructure from on-premises
environments to scalable SaaS and cloud-native architectures.
Establish, maintain, and continuously improve production environments, ensuring high availability,
security, scalability, and operational excellence.
Demonstrate strong production ownership, including incident management, root cause analysis,
capacity planning, and performance optimization.
Collaborate with Engineering, QA, Product, and AI team
Support the deployment, operation, and monitoring of AI and Generative AI services.
Build and maintain monitoring, logging, and alerting systems.
Troubleshoot and resolve infrastructure, deployment, and production issues.

You'll report to your Team Lead, based in Tel Aviv on a hybrid model.

You'll own the features, speed, and quality of your own work - the pipeline moving data through Sedric at scale. You're not just shipping code; you're setting the bar for what excellent looks like on the team.

Design and build backend features on the Core pipeline that handle Sedric's growing data load.
Write code that scales - because what works at today's volume has to hold at tomorrow's.
Review your teammates' code with a real opinion.
Collaborate across the team to unblock others.
Own the full lifecycle of what you ship - from design through production.
Bring urgency to problems that matter - you dont push to tomorrow what can be solved today.
Help shape technical decisions on infrastructure, from cloud architecture to data systems.