לוח משרות דרושים מהנדס תוכנה, לחיפוש זה נמצאו 566 משרות

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 a Senior DSP Software Engineer who will lead design and implementation of our innovative signal processing algorithms on the industry cutting-edge target platform, consisting of embedded cores, DSPs, and dedicated accelerators.

What will you do:
Perform analysis, design, implementation and validation of innovative MIMO imaging radar algorithms for next generation ADAS and autonomous
vehicles on our target platform
Participate in SW architecture design and perform signal processing algorithm porting & optimization
Address real-time constraints in a challenging memory/compute bound framework
Be part of a goal-oriented workgroup and dynamic research & development environment
Work in close collaboration with CTO and SW architecture team

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 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.

we are looking for a Engineering Team Leader.
As our Engineering Team Lead, you will drive engineering processes to produce a roadmap focusing on quality and time to market. You will work closely with our leadership, product, and clinical team while developing new features from scratch. This is a unique opportunity to join a startup with a real impact on thousands' well-being and mental health, applying cutting-edge technology to solve a meaningful human problem with enormous financial and psychological implications.

We are looking for a Senior Backend Engineer to join a high-impact, multi-disciplinary team building a customer-facing product trusted by health industry specialists. This team is solving complex technical challenges with a modern stack to power core growth engine.
In this role you will collaborate closely with other R&D, Product, and Data teams.
What Youll Do :
Architect & Build: Design and construct high-performance, production-grade backend systems and applicative services built for reliability and maintainability.
Own E2E Lifecycle: Take complete end-to-end ownership of backend features from concept to production- including architectural design, testing, shipping, and active monitoring.
Cross-Domain Collaboration: Partner closely with Product Managers, Data Scientists, and R&D teams to translate complex data pipelines and product needs into scalable technical solutions.
Elevate Engineering Standards: Participate in rigorous code reviews, establish architectural best practices, and help mentor team members across the organization.