לוח משרות דרושים הייטק תוכנה, לחיפוש זה נמצאו 2,902 משרות

We're looking for an Experienced Performance Researcher to join our founding team. Youll be responsible for building and optimizing scalable cloud infrastructure solutions tailored for AI workloads. This role offers a unique opportunity to directly shape our infrastructure strategy, improve system reliability and performance, and contribute to establishing us as a leader in adaptive AI compute management.
Join us to tackle the magic that make AI tick under the hood and build the backbone powering the AI revolution.
What Youll Do
- Design and build high-performance distributed inference pipelines for LLMs, focused on large-batch, non-real-time scenarios.
- Optimize GPU memory usage, kernel execution, and communication across nodes (NCCL, MPI, etc.).
- Own CUDA kernels, compiler-level tricks, and multi-GPU scheduling logic.
- Lead profiling and performance tuning for throughput, and cost- down to the kernel level.
- Collaborate with infra, product, and research teams to define SLAs, resource allocation logic, and runtime behaviors.
- Help build the core infrastructure that will run LLM workloads across hybrid GPU environments (cloud/on-prem/self-hosted).

The Senior DevOps Engineer will be responsible for the design, building, and maintenance of the infrastructure of our cloud platform. This role involves tackling challenging, large-scale infrastructure projects, with a focus on ensuring organizational reliability, scalability, security, and adherence to best practices.
Main Roles and Responsibilities:
You will directly influence our platform's scalability to support growth and R&D efficiency
Own Infrastructure projects end-to-end, from research and design to implementation and rollout.
Lead Infrastructure improvements around high availability, resiliency, performance and cost efficiency.
Evaluate and implement new technologies that upgrade our infra posture.
Collaborate with other engineers to define standards, patterns and platform roadmap.
Serve as a technical expert in infrastructure decisions and a driver of engineering excellence.

We are looking for a Senior Full-Stack Engineer to join our engineering organization and play a key role in building and evolving complex products and platforms at scale.
In this role, you will work across frontend, backend, and data layers, taking end-to-end ownership of meaningful features and systems.
From design and implementation through deployment and production support. You will collaborate closely with product, design, and engineering partners to deliver high-quality solutions that support business goals, internal efficiency, and scalable growth.
Responsibilities:
End-to-End Full-Stack Development
Design, develop, and maintain complex features and systems across frontend, backend services, and databases
Own features throughout their full lifecycle: design, implementation, testing, deployment, and ongoing production support
Hands-On Engineering
Write high-quality, production-grade code with a strong focus on reliability, performance, scalability, and maintainability
Contribute across the stack while making thoughtful trade-offs between speed, quality, and long-term sustainability
Product & Stakeholder Collaboration
Work closely with internal stakeholders to understand requirements and translate them into effective technical solutions
Actively participate in planning, estimation, and iterative delivery
Architecture & Technical Design
Contribute to system design and architectural decisions with a long-term, platform-oriented mindset
Help evolve existing systems and design new components that support growth, reuse, and operational excellence
Engineering Excellence
Promote and uphold best practices in software engineering, including clean code, testing strategies, CI/CD pipelines, and observability
Participate in code reviews and technical discussions to maintain high standards across the codebase
Technical Leadership & Knowledge Sharing
Serve as a technical role model through collaboration, mentorship, and constructive feedback.
Share knowledge and help raise the overall engineering bar across teams.

We're looking for an Experienced Software engineer to join our founding team. Youll be responsible for building and optimizing scalable cloud infrastructure solutions tailored for AI workloads. This role offers a unique opportunity to directly shape our infrastructure strategy, improve system reliability and performance, and contribute to establishing us as a leader in adaptive AI compute management.
Join us to tackle the magic that make AI tick under the hood and build the backbone powering the AI revolution.
What Youll Do
- Design and implement the control plane that orchestrates distributed inference across cloud GPU infrastructure.
- Own backend systems responsible for job scheduling, SLA tracking, usage metering, tenancy, auth, and data coordination.
- Build robust APIs that glue together infra automation, ML workloads, and user-facing dashboards.
- Work across multiple cloud providers and BYOC environments-build systems that expect chaos and still work.
- Collaborate with infra, ML, and product teams to abstract complex infra flows into clean interfaces.
- Help define system architecture and lay the groundwork for a platform that adapts to varied customer deployments.

Were looking for a Staff Engineer to lead the design and development of central components within our companys R&D.
Youll combine hands-on development with architectural leadership - solving complex engineering challenges, guiding your team through design decisions, and ensuring our systems are robust, scalable, and maintainable.
Youll collaborate with other senior engineers, tech leads, and product partners to define technical direction, drive innovation, and improve engineering practices across the teams and groups.
This is a role for someone who thrives on building well-designed systems, driving technical excellence within the team and mentoring peers.
Responsibilities
Lead the design and implementation of scalable and reliable backend services.
Drive architectural discussions and make key technical decisions within your domain.
Collaborate with cross-functional teams to translate business and product goals into technical solutions.
Deliver high-quality, maintainable, and testable code while ensuring best practices for security, performance, and reliability.
Mentor and support engineers through design reviews, code reviews, and knowledge sharing.
Continuously improve development processes, observability, and deployment pipelines.
Contribute to the evolution of the platforms architecture as the company and product scale.

We're looking for our first Forward Deployed Engineer. You'll sit directly with our customers' engineering teams and get their workloads- from the first scoping conversation to a production endpoint carrying real traffic, at a cost and latency profile they couldn't hit anywhere else.
This is an engineering role. You will write code every day, in customer repos and in ours. It also carries pieces of solutions architecture, product management, and pre-sales, and you should want that mix rather than tolerate it. Ambiguous business goals come in; observable, benchmarked, production services go out.
As the founding FDE you also define the function: what a POC looks like, what we promise and measure, which patterns get productized, and how the field feeds the roadmap. The next FDEs will work from what you build here.
What You'll Do
Own customer outcomes end to end: problem framing, evaluation design, migration, deployment, benchmarking, monitoring. You're the technical owner from first call through expansion.
Win the POC: turn a vague objective into a tight spec and a working proof of concept fast, with explicit quality, latency, throughput, and cost-per-token targets - and hit them.
Tune serverless inference for real workloads: model and engine selection, batching strategy, KV cache behavior, speculative decoding, quantization, parallelism, cold-start and autoscaling behavior under bursty traffic. Diagnose regressions down to the inference engine.
Migrate workloads: move customers off OpenAI-compatible APIs, self-managed vLLM, SageMaker, or their own GPU fleets - and prove out the quality and cost delta with numbers.
Guide model strategy: advise on open-weight model selection, distillation, and fine-tuning for specific tasks; help customers get from a general-purpose frontier model to a smaller, faster, cheaper one that holds quality.
Close the product loop: bring the field back into the roadmap - write the PRDs, land the PRs, and turn one-off customer work into platform features.
Be the technical anchor in the room: support sales on complex evaluations, run technical onboarding, earn trust with staff engineers and CTOs.

Were seeking a Senior Quality Specialist to join our companys QA team. In this role, youll lead the implementation and continuous improvement of quality assurance processes - including design controls, change control, and risk management, ensuring our products meet the highest global regulatory and industry standards. Your expertise will directly impact the safety, quality, and compliance of cutting-edge AI healthcare solutions.
What Youll Do:
Lead product release processes for new medical devices and software versions, collaborating closely with R&D, Product, Delivery, and SW QA teams.
Create, Maintain and review product related documentation (DHF, DMR, DHR, TFs) with a deep understanding of product design, implementation, and testing.
Translate regulatory requirements into actionable processes, enhancing efficiency, compliance, and product quality across the organization.
Support core QMS processes including SW Development Life Cycle (SDLC), Risk Management, CAPA, Non-Conformance, Usability, Document Control, Training, and more.
Leading AI and SW quality related problem solving
Cross-functional Collaboration: Work closely with SW engineers, data scientists, and product teams to identify testing requirements, troubleshoot issues, and improve overall AI system quality.
Assist in internal and external audits, ensuring readiness and full compliance.

We are looking for a talented V&V Manager who will build and lead the verification and validation strategy for complex defense systems, ensuring our technologies meet the highest standards of reliability, performance, and operational readiness.

What You Will Do
Hold final Go/No-Go authority for all major releases and customer deliverables, based on predefined quality thresholds and readiness criteria.
Own end-to-end V&V execution, including delivery milestones, resource planning, KPIs, and day-to-day operational performance.
Build and scale structured testing infrastructure: test plans, traceability, formal procedures, regression suites, and automation frameworks.
Increase automation coverage and reduce manual dependency through measurable quarterly improvement targets.
Lead multidisciplinary verification and validation activities, including in-house integration testing, field validation, pilot deployments, and adversarial scenario testing.
Partner with R&D to embed lifecycle quality gates and remain hands-on in system-level testing, debugging, and high-risk validation efforts during scaling phases.

Were looking a System Test Automation Engineer to drive system-level (HW+SW) verification for our products.

As a System Test Automation Engineer, youll architect and implement automation that exercises complex, integrated systems, not just software layers. Youll design tools and frameworks that interact with real hardware, real sensors, and real signals.

Key Responsibilities
Design and build automation frameworks for testing multidisciplinary systems including RF, sensors, and embedded hardware
Develop test scripts that connect to real hardware through various interfaces (serial, Ethernet, GPIO, APIs)
Perform both manual and automated testing, developing test plans based on real-world use cases and edge conditions
Debug hardware and software issues
Build internal testing tools (log analyzers, simulators, etc.) and create reusable testing components for data capture, validation, etc.

We are looking for Senior Rust / GPU Software Engineer

About the role:

We build a real-time GNSS and SDR signal processing system that runs on embedded GPU platforms.

Algorithms and hardware interfaces are written in C++ and CUDA. Infrastructure is written in Rust.

The team is small. Every engineer owns large parts of the system, from design to production.

Responsibilities
Design and build fast, reliable software for real-time signal processing.
Turn research algorithms (GNSS, signal processing, geospatial) into efficient production code.
Write and tune GPU kernels, and keep the GPU busy with work sent asynchronously from the host.
Build and improve the infrastructure the team relies on: build system, testing, CI, tooling.
Work closely with hardware, research, and product teams.

We are seeking an experienced Senior Real-Time Embedded Software Engineer to join our core engineering team and develop advanced software for high-performance, mission-critical embedded systems.

Key Responsibilities
Own tasks, infrastructure, and subsystems end-to-end, from requirements analysis and system modeling through design, implementation, testing, integration, and deployment.
Design, implement, integrate, and optimize real-time software for MCU-based platforms.
Translate system-level requirements into robust and efficient software solutions.
Lead software integration and validation on target platforms, including troubleshooting and system bring-up.
Contribute to the development and improvement of software infrastructure and platform-level capabilities.
Work closely with Hardware, Algorithms, and System Engineering teams within a multidisciplinary R&D environment.
Collaborate with relevant stakeholders to drive tasks and projects forward efficiently.

About the Position We are looking for a Senior Full Stack Engineer to become a foundational member of our growing internal product and engineering team. Development is already underway with an external development partner. You will work closely with that team to understand the product, review technical decisions and code quality, and progressively bring engineering knowledge and ownership in-house. This is a hands-on role with significant influence over how we build and operate our product. You will develop features across backend and frontend, establish engineering standards, and help keep production reliable. Working closely with Product Management and Design, you will turn business needs into maintainable software and shape the technical foundations of a growing platform. If you enjoy building, taking ownership, and bringing clarity to complex problems, this is an opportunity to help establish an engineering team from its early stages.
About us
Our mission is to expand access to breakthrough therapies for patients around the world. We partner with innovative biotech companies to bring treatments to international markets, combining commercial, medical, and operational capabilities across countries. The Impact Youll Create You will help build a platform that supports our global operations and mission. As an early member of the internal team, your decisions will shape the products architecture, engineering practices, and ability to grow.
Responsibilities:
What You Will Lead
* Build across the stack. Design, develop, TEST, and deliver features spanning backend services, APIs, databases, and frontend interfaces.
* Bring knowledge and ownership in-house. Work closely with our external development partner to understand the existing architecture, codebase, infrastructure, integrations, and deployment processes.
* Set and uphold engineering standards. Review code and technical designs, give actionable feedback, and ensure internal and external contributions meet agreed standards for maintainability, security, performance, and testing.
* Guide technical decisions. Assess tradeoffs, identify risks and technical debt, and make pragmatic improvements that balance delivery needs with long-term product health.
* Partner with Product and Design. Help shape solutions, clarify requirements, estimate work, and deliver intuitive, reliable product experiences.
* Strengthen delivery and operations. Improve automated testing, CI/CD, monitoring, alerting, and deployment and rollback processes.
* Own production reliability. Diagnose and resolve incidents, including responding to critical outages outside regular working hours as part of the roles on-call responsibilities.
* Reduce recurring incidents. Investigate root causes and improve the product, tooling, and operational practices following production issues.
* Make knowledge accessible. Maintain useful technical documentation and operational runbooks, reducing reliance on individual people or external teams.
* Help build the internal engineering team. Establish effective working practices and support onboarding as the team grows.
City:
Petah Tikva

Fluent Technologies is a prominent software provider delivering ultra-low-latency financial systems to tier-1 banks across the EU and US. Our solutions support algorithmic trading, market access, risk management, price adaptation, liquidity aggregation, and more. As we expand our customer base and continue to grow our product offering, we are seeking a Development Group Leader to lead a team of engineers working on high-performance, mission-critical systems. The development group consists of approximately 120 engineers across various roles, including core development, GUI development, QA, DevOps, and DBA, all working with a range of technologies. The software we develop operates in microsecond latencies and is used by all our customers, though it is not multi-tenant. It is an On-site position in our Jerusalem office. Key Responsibilities: Lead sprint planning and ensure effective project delivery. Directly manage part of the development team, fostering collaboration and growth. Oversee system architecture during design reviews, ensuring optimal solutions. Communicate directly with customers to understand their needs and gather requirements. Take ownership of the full development cycle, from specifications through design, coding, and unit testing. Ensure high standards of quality, performance, and reliability across all software products.

Landa is seeking an experienced Backend Software Engineer to join its Data Path team. This hands-on role requires strong software engineering skills and the ability to develop complex, multidisciplinary systems that integrate high-volume data processing, advanced algorithms, and printing hardware. In this role, you will develop backend software that manages and transforms print job data, executes image-processing operations such as cropping and flipping, and orchestrates data flow through processing pipelines. You will work with multi-threaded architectures, manage queues and concurrent operations, and optimize the delivery of processed data all the way to the printheads of a digital printing press.

Responsibilities:
· Develop and maintain backend services that manage, process, and deliver print-job data through the Data Path pipeline, from job preparation to the printheads. · Design high-performance, multi-threaded processing pipelines, including queue management, synchronization, parallel execution, and efficient resource use. · Implement and optimize data-processing and image-processing algorithms, including print-data transformations such as cropping and flipping, and production inspection algorithms for defect detection, calibration, and quality metrics. · Integrate software with industrial imaging hardware, including cameras and sensors, image-acquisition boards, timing and trigger systems, and motion control. · Own development tasks end-to-end, from design through implementation and system integration, working closely with cross-functional teams (software, algorithms, hardware, and process). · Troubleshoot and · resolve complex software issues in development and production environments, · including issues that span software, algorithms, and hardware. · Ensure high software quality through best practices, clean code, and testing, and improve existing systems by modernizing legacy applications.

Attributes:
· Strong analytical and problem-solving skills. · High level of ownership and accountability. · Excellent teamwork and interpersonal communication skills. · Systems-thinking mindset with the ability to understand complex multidisciplinary environments.