לוח משרות דרושים הייטק תוכנה משרה מלאה, לחיפוש זה נמצאו 3,056 משרות

The Head of C2 (Command & Control) Development will lead the design, development, and delivery of advanced control, monitoring, and decisionsupport capabilities for a nextgeneration defense system. This role requires a strong technical foundation in C2 architectures, realtime systems, and multisensor integration, combined with proven leadership experience in growing and guiding highperforming engineering teams.
Why Join us?:
This is a unique opportunity to be at the heart of a defense-tech startup during its most exciting growth phase.
Responsibilities:
* Lead a multidisciplinary development team with the ability to scale into a full C2 group as the program expands.
* Define the technical vision, architecture, and roadmap for our C2 subsystem, ensuring alignment with systemlevel requirements and operational needs.
* Drive endtoend development of control and monitoring capabilities, including situational awareness, mission management, data fusion, and operatorsystem interfaces.
* Collaborate closely with system engineering, algorithm teams, hardware teams, and operational experts to deliver robust, missionready solutions.
* Establish development methodologies, coding standards, integration processes, and Quality Assurance practices suitable for defensegrade systems.
* Mentor engineers, build team capabilities, and recruit additional talent as the group grows.
* Manage schedules, risks, and deliverables in a dynamic, multistakeholder environment.
* Interface with customers, partners, and defense organizations to understand operational constraints and ensure compliance with defense standards and regulations.

As a Digital Backend Design Engineer, you will be responsible for the physical implementation of digital designs from RTL to GDSII, leveraging cutting-edge EDA tools and methodologies. You will collaborate closely with RTL design, DFT, and packaging teams to achieve optimal performance, power, and area (PPA), while meeting stringent timing and yield targets.

Responsibilities
Execute full-chip and block-level physical design tasks including floorplanning, placement, clock tree synthesis, routing, and physical verification.

Develop and optimize the digital backend flow.

Drive timing closure, power optimization, and physical verification (LVS/DRC/ERC).

Collaborate with front-end designers to address timing and logical/physical interface issues.

Support tapeout preparation and final signoff processes.

As a Performance Software Engineer, you will be instrumental in building the core computation software that runs on custom AI accelerators. Your work will bridge the gap between host systems and proprietary hardware, encompassing everything from a custom on-board kernels to the sophisticated tooling required for real-time debugging. You will be a key player in chip bring-up and the long-term development of high-performance computation primitives and kernels, ensuring our architecture operates with maximum efficiency and deterministic performance.

Responsibilities
Develop and optimize low-level software primitives in C/C++, assembly, and architecture-specific intrinsics, primarily for RISC-V and ARM platforms.

Implement performance-critical kernels, runtime components, hardware abstraction layers, drivers, and firmware operating in bare-metal or highly constrained environments.

Work closely with hardware architects and RTL/design teams to define and validate hardware-software interfaces, memory maps, register interfaces, interrupts, synchronization mechanisms, and boot flows.

Analyze and optimize software for latency, throughput, memory footprint, instruction count, and efficient use of processor and accelerator features.

Bring up and debug software on simulation, emulation, FPGA, and silicon platforms, including low-level hardware/software integration issues.

Develop validation tests, benchmarks, and diagnostic tools for new processor, DSP, accelerator, and SoC functionality.

Contribute to architecture decisions around ISA extensions, compiler intrinsics, memory hierarchy, DMA, cache/coherency behavior, and software-visible hardware features.

As a Drivers & Virtualization Engineer, you will own the host-facing software boundary. Your mission is to ensure our hardware is accessible, secure, and performant across diverse environments-ranging from bare-metal deployments to complex virtualized and multi-device cloud infrastructures. You will focus on building robust kernel-level interfaces where correctness, isolation, and long-term operational safety are paramount.

Responsibilities
Develop and maintain high-performance Linux kernel drivers for proprietary accelerator.

Implement communication protocols and virtual device interfaces to bridge hardware and software.

Manage low-level hardware interactions including PCIe, DMA, MMIO, and interrupt handling.

Enable seamless virtualized access to accelerators using QEMU and KVM.

Design and implement robust device sharing, passthrough, and isolation mechanisms.

Ensure the security of accelerator operations through strict memory protection and resource isolation.

Debug complex failures that span the entire stack: from hardware and kernel to hypervisor and guest OS.

Support the scaling of our architecture from single-device setups to large-scale multi-device deployments.

We are seeking an experienced Senior Developer with deep expertise in Python and AI development to join our team.

The ideal candidate will have hands-on experience building AI-powered applications and agentic AI systems that can autonomously perform complex tasks.

Job Description
Design and build autonomous AI agents capable of multi-step reasoning and task execution
Work with LLMs (Large Language Models) and Agentic Frameworks (AutoGen, Microsoft Agent Framework)
Responsible for implementing micro-services from design to production.
Take ownership of development, maintenance, testing strategy, design discussions, and operations of the team,
with containerized API services
Participate in all aspects of agile software development including design, implementation, and deployment
Responsible for the end-to-end lifecycle of new product features / components
Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design
Work with a small, cross-functional team on products and features to drive growth.
Learning new tools, languages, workflows, and philosophies to grow
Research and suggest new technologies for boosting the product.
Have an impact on product development by making important technical decisions, influencing the system architecture, development practices and more.

We are seeking an experienced Senior Developer with deep expertise in Python and AI development to join our team. The ideal candidate will have hands-on experience building AI-powered applications and agentic AI systems that can autonomously perform complex tasks.

Job Description
Design and build autonomous AI agents capable of multi-step reasoning and task execution.
Work with LLMs (Large Language Models) and Agentic Frameworks (AutoGen, Microsoft Agent Framework).
Responsible for implementing micro-services from design to production.
Take ownership of development, maintenance, testing strategy, design discussions, and operations of the team, with containerized API services
Participate in all aspects of agile software development including design, implementation, and deployment.
Responsible for the end-to-end lifecycle of new product features / components.
Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design
Work with a small, cross-functional team on products and features to drive growth.
Learning new tools, languages, workflows, and philosophies to grow
Research and suggest new technologies for boosting the product.
Have an impact on product development by making important technical decisions, influencing the system architecture, development practices and more.

The Senior Engineering Manager within the NIQ Activate R&D organization will report to the Director, Activate R&D and be responsible for leading a high-performing team of software engineers while driving the development of innovative product solutions for our rapidly expanding customer base. This role operates in an open, collaborative, and innovation driven environment, leveraging modern client and server-side technologies to deliver scalable and impactful solutions.

This is a hands-on leadership role requiring a balanced allocation of responsibilities, with approximately 50% focused on engineering leadership activities such as technical reviews, planning, stakeholder management, talent development, and delivery oversight, and 50% dedicated to hands-on software engineering, including architecture, coding, design reviews, and technical problem solving.

Job Description
Key Responsibilities:
Design, develop, and deliver scalable microservices from architecture through production deployment.
Lead backend system design and implementation, ensuring robust, secure, and maintainable solutions.
Leverage GitHub Copilot and AI-assisted development tools to accelerate software delivery, improve codequality, and enhance engineering productivity.
Take ownership of development, maintenance, testing strategy, design discussions, and operations of the team, with containerized API services
Participate in all aspects of agile software development including design, implementation, and deployment.
Responsible for the end-to-end lifecycle of new product features/components
Ensuring application performance, uptime, and scale, maintaining high standards of code quality and thoughtful application design
Work with a small, cross-functional team on products and features to drive growth.
Learning new tools, languages, workflows, and philosophies to grow
Research and suggest new technologies for boosting the product.
Have an impact on product development by making important technical decisions, influencing the system architecture, development practices and more.

Were looking for an enthusiastic and highly motivated Technical Support Engineer to identify, diagnose and resolve customers issues. The Technical Support Engineer will be a part of our Professional Services team.

This is an exciting opportunity to work in a challenging, fast-paced environment in a high-performance team. Here we truly put our people first. We strongly believe in teamwork, and we encourage and trust our people to reach higher, learn more, and live up to their potential.


Job Description
Taking ownership of customer issues reported by customers and prioritizing them based on urgency and importance.
Researching, diagnosing, troubleshooting issues and identifying solutions to resolve system issues.
Coordinating support case resolution with the appropriate internal teams: Sales, Professional Services, Product.
Following standard procedures for proper escalation of critical or unresolved issues.

As Chief Architect, you will lead cross-group technical efforts, head the Architect Guild, and lead the department's AI enablement and transformation efforts. You will serve as a technical consultant and see the large picture of technology stack and its architecture. Our technology stack is built to handle significant complexity, integrating advanced AI, Data Science, and algorithmic optimization with robust infrastructure - ranging from cloud-native K8s and Serverless deployments to specialized Mobile and Embedded systems

This is not a docs and slides position, were looking for an architect who wishes and can stay hands-on and be able to dive into multidisciplinary complex issues and independently solve them. You will work closely with R&D leads and engineers to ensure engineering best practices and excellence.

You'll work end-to-end: agent design, tool implementation, retrieval quality, integration into existing product UIs, cloud infrastructure, and evaluation/observability. The platform already ships to customers - you'll extend it, raise its quality bar, and help define where it goes next.

What you'll do

Design and evolve agents - build LLM agents with tool use, routing, and human-in-the-loop flows.
Implement tools and integrations - expose product capabilities to the agent, with multi-tenant context, via internal APIs and MCP servers.
Own retrieval quality - contribute to our RAG pipeline end-to-end: ingestion, embeddings, vector search, and reranking.
Define and evolve host integration contracts - collaborate with host application teams to integrate the assistant into product UIs built on different frontend stacks. You own the shared remote module and the integration API; host teams own their stacks.
Drive evaluation-led development - write evaluators (rule-based, LLM-as-judge, multi-turn), maintain CI eval gates, and use traces and feedback to debug production behavior.
Operate the platform - own deployments, observability, and the performance and cost of LLM-backed services.
Establish engineering practices** for AI-specific work: prompt versioning, eval coverage, testing, and code review.

We are looking for an AI-first Software Engineer who is highly product-oriented and excited about building customer-facing systems using modern AI tooling to dramatically increase development speed and operational automation.
What youll do?
Build and ship end-to-end product features (backend, frontend, integrations, automation).
Use AI tools and build the AI infrastructure to accelerate development through scalable workflows, including multi-agent approaches.
Build AI agents that fully automate customer-facing sales and service flows, in a business with a massive volume of textual interactions.

A growing B2B SaaS company is looking for an experienced Head of Data Science to lead its Data Science function and drive the next generation of AI and machine learning capabilities.

This is a strategic leadership role combining people management, hands-on problem-solving, cross-functional collaboration, and ownership of data-driven innovation across the organization.

Responsibilities

Lead and mentor a global team of Data Scientists.

Define and execute the company's Data Science strategy.

Drive the development of advanced machine learning, optimization, and forecasting solutions.

Partner closely with Product, Engineering, Customer Success, and executive leadership.

Translate complex business challenges into scalable analytical solutions.

Support customer-facing initiatives and strategic engagements when needed.

Establish best practices for experimentation, model evaluation, and performance measurement.

Act as a key stakeholder in shaping the company's AI vision and roadmap.

we are looking for a Predictive Analytics Solution Engineer.
Typical Tasks:
Guide and assist customers in utilizing the platform and implementing AI models.
-Help customers understand complex AI concepts, identify relevant use cases, and implement solutions to drive business value.
Address and resolve technical and data-related issues.
Provide valuable feedback to the product team and collaborate to enhance the product.
Analyze model outputs and explain complex ideas in a clear, understandable manner.
Serve as the primary data and technical contact for clients, understanding and addressing their needs.

Required AI / Computer Vision Algorithm Engineer
Key Responsibilities:
AI/Computer Vision Engineer to develop image-processing algorithms for next-generation ophthalmic diagnostic devices.
Full time, Hybrid
Develop advanced computer-vision algorithms for medical imaging.
Detect biomarkers related to specific use cases
Build models supporting diagnostic decisions.
Train deep-learning models (CNNs, ViT, Autoencoders).
Work with Python, PyTorch/TensorFlow, OpenCV.