לוח משרות דרושים בתל אביב יפו, לחיפוש זה נמצאו 8,244 משרות

As a Research Engineer at our company, you will design, develop, and implement algorithms and models that will enhance the products capabilities, performance, reliability, and scalability. Together with our algo and engineering team members, you will work closely with our product team members to implement algorithms that can be used to drive our business forward as well as the frontier of software development AI technologies.
we are the right place for you if you are:
(i) A team player Research Engineer
(ii) With (at least) 3 years of experience in algorithm development
(iii) With a recent focus on Large Language Models (LLMs) fine-tuning and prompting
(iv) Comfortable with end-to-end software development and working with a large range of tools
(v) Loves building cutting-edge yet pragmatic solutions
Responsibilities:
Design, develop, implement and test algorithms and AI-empowered solutions for various product features and applications
Collaborate with cross-functional teams to understand business needs and translate them into algorithmic solutions
Perform research on emerging trends, algorithms, and cutting-edge technologies, and identify ways to incorporate them into our products pragmatically
Propose new and innovative solutions to complex problems and lead the development of algorithms in those areas
Design, cleanse, and utilize benchmarks throughout the process of the algorithm development.

We are looking for a motivated and experienced Backend Engineer with 7+ years of hands-on experience to join one of our teams. As a Backend Engineer at our company, you will take ownership of features across the entire development lifecycle - from initial concept and design to deployment and maintenance in an enterprise-grade production environment. This role involves close collaboration with the product team to turn ideas into high-quality, functional software.
Responsibilities:
Develop and lead the end-to-end implementation of new features and product offerings
Design, build, and maintain efficient, reusable, and reliable code across the full stack
Collaborate with product managers and engineers
Participate in all phases of the development lifecycle, including analysis, design, coding, testing, and deployment
Ensure application performance, quality, and responsiveness.

Were looking for a Talent Acquisition Partner to join our People team. Someone experienced enough to lead hiring processes end-to-end - but still hungry to grow, constantly improve, and help shape what recruiting looks like in an AI-first company.
If youre looking to do more than recruitment- this is an opportunity to influence how we hire, who we hire, and how we scale.
This is about building teams, influencing decisions, and making our company win.
Our teams values and how we work
One team. Clear ownership, zero silos
High standards. We care about quality and speed
No ego. We challenge each other to get better
Mission-driven. We do what it takes to make our company win
What Youll Do
Own full-cycle recruiting across Engineering, Product, and GTM roles - from building pipelines across channels, through interviews, to closing
Partner closely with hiring managers to deeply understand needs (technical + cultural), shape roles, and guide hiring decisions
Work hand-in-hand with the Talent Acquisition Coordinator to run efficient, high-quality processes
Create exceptional candidate experiences - fast, sharp, human
Track and analyze pipeline data to continuously improve how we hire
Contribute beyond recruiting: employer branding, People initiatives, and anything else that moves the needle.

From office management to travel coordination, IT operations, and employee logistics, youll serve as a central point of contact for keeping our teams productive, supported, and connected. This is a hands-on, service-oriented role for someone who loves solving problems, juggling priorities, and getting things done in a fast-moving startup environment.
Key Responsibilities
Office & Facilities Management
Day-to-day ownership of our TLV office - vendors, supplies, equipment, maintenance, and the overall vibe
Make sure the space is functional, welcoming, and somewhere people actually enjoy showing up to
Provide administrative support to our companys global offices and hubs (Boston, NYC)
Travel Oversight
Owning the relationship with our travel platform and travel agencies
Making sure agencies deliver good service, competitive pricing, and a smooth experience for the team
Supporting employees when issues come up
IT Operations Support
Owning the operational side of IT across TLV, Boston, and NYC
New hire equipment setup, inventory management, vendor relationships
First line of support for day-to-day issues, working with external IT providers
HR Support
Supporting HR with the operational/logistical side of company events, happy hours, team-building, and off-sites
Supporting HR with the operational side of onboarding and offboarding.

Were looking for a product designer who obsesses over user problems and moves fast to solve them. You simplify the complex, find the clearest path through a messy workflow, and care deeply about helping users get to value quickly - especially in a product where AI insights are only useful if people actually discover and trust them.
You bring strong UX fundamentals and sharp execution. And on top of that, you use modern tools - Claude, Figma MCP, Cursor, as genuine force multipliers, not as an identity. AI is how you move faster, not what you lead with.
This is a hands-on role with real ownership. Youll design across our web platform, IDE extension, and Git workflows - products used by developers who notice when something feels off.
What youll do
Design end-to-end experiences for developer-facing products, from early concepts to shipped features
Collaborate closely with product, engineering, and data; youre comfortable in a Notion doc, a Linear ticket, and a Figma file in the same afternoon
Prototype with fidelity appropriate to the question - sometimes a Figma flow, sometimes a working HTML/React component
Design for scale from day one - you always think about edge cases, permissions, multi-user flows, and enterprise complexity
Move fast and iterate based on real developer feedback.

Were looking for an AI Product Manager to join our product team and help shape the next generation of AI developer tools. This is a high-impact role for someone who thrives at the intersection of technical depth, user empathy, and product thinking. This role is ideal for someone who has worked on technical or developer-facing products, is deeply customer-oriented, and is comfortable rolling up their sleeves when needed.
Own the product lifecycle for one or more product areas - from ideation and requirements through delivery and go-to-market enablement
Spend significant time with customers: conducting discovery interviews, understanding pain points firsthand, and translating insights into product decisions
Work closely with R&D teams on a daily basis - participating in technical discussions, helping shape architecture trade-offs, and ensuring the team has clear, well-defined requirements
Enable the sales and customer success teams with the knowledge, materials, and positioning they need to land deals and drive adoption
Define and validate product opportunities through customer research, data analysis, and competitive intelligence
Translate complex technical concepts into clear product requirements and crisp user stories
Drive cross-functional alignment across engineering, design, sales, and customer success to ensure launches land well
Establish and track success metrics, running experiments and iterating based on evidence
Be the voice of the developer - obsessively understanding how developers work, what they struggle with, and where AI can genuinely help.

we are establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a visionary DFT Engineer to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, ensuring the reliability and testability of chips that power the world's largest AI clusters.
As a DFT Engineer at our company, you will be at the intersection of architecture, design, and production. You won't just run tools-you will be a foundational member of the team responsible for the entire lifecycle of our silicon's reliability. From defining initial DFT architecture to supporting post-silicon bring-up, your work ensures that the backbone of AI infrastructure connectivity is flawless and scalable. If you thrive on solving complex challenges in deep-submicron processes and want to establish world-class DFT methodologies, this is your opportunity.
Key Responsibilities
DFT Architecture & Strategy
Be part of the DFT journey from high-level architecture definition and RTL design to backend implementation and post-production support
Develop comprehensive Design-for-Testability (DFT) strategies for next-generation connectivity platforms, ensuring chips meet the highest quality standards
Design and implement DFT architectures including JTAG/iJTAG, MBIST, Scan, and ATPG for high-end devices
Test Pattern Development & Optimization
Generate and optimize high-quality test and debug patterns for production
Perform Static Timing Analysis (STA) for DFT modes and conduct gate-level simulations to ensure robust performance
Drive test coverage and quality metrics to meet stringent manufacturing requirements
Cross-Functional Collaboration & Methodology Innovation
Act as a multidisciplinary bridge, collaborating closely with Architecture, Verification, and Backend teams to ensure seamless integration and optimal QoR
Participate in developing and maintaining cutting-edge DFT implementation flows
Automate and improve methodologies using advanced scripting and tools.

The MLIL DataPlane team is looking for a Software Development Engineer to own the design and implementation of our inference data plane. We build the software that makes large models run efficiently on custom hardware - spanning model execution, memory management, data movement, and serving integration.
Our work covers the full inference path: integrating serving engines with custom hardware, developing high-performance compute kernels, enabling efficient data movement, and driving models from early validation through production. We operate at frontier scale with large distributed models.
This is a ground-up effort with rapidly evolving hardware and software. We are looking for an IC who can write and optimize low-level code for custom hardware, validate model architectures end-to-end, build test and profiling infrastructure, and drive performance across the stack.

Key job responsibilities
- Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference.
- Implement and validate LLM architectures (decoder-only, mixture-of-experts) end-to-end - from PyTorch model definition through distributed execution on custom hardware.
- Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler extensions, memory management, and model parallelism.
- Build and maintain test infrastructure for model correctness validation across CPU, GPU, simulator, and hardware targets.
- Profile and optimize inference workloads - identify bottlenecks, instrument critical paths, and drive latency and throughput improvements from simulation through hardware bringup.
- Own features end-to-end: from design through implementation, testing, and integration into the broader software stack.
- Contribute to CI/CD pipelines that gate model and kernel changes on correctness and performance regressions.

We are seeking an experienced engineer to join our team that owns the network stack for EC2 distributed AI/ML systems. The team develops support for a variety of frameworks and communication libraries including NCCL, NVSHMEM, NIXL, NCCL GIN, and Perplexity kernels. Solid knowledge of Linux, networking, and performant coding is important. Experience with embedded systems is valued, and experience with high-speed networking or HPC/RDMA interconnects is highly valued.

If you like solving hard problems, want to work with HPC and ML customers, iterate fast and deliver meaningful solutions at scale, then come join us! This truly is a role at the forefront of AI/ML-you'll be working on features for the largest clusters, with the largest customers, for the largest AI models.

Key job responsibilities
Be a senior engineer on a team that builds and maintains the infrastructure that monitors and reports on functionality and performance of massive testing workloads run at scale. Use our internal CI/CD tools, Linux, and public AWS products to automate the delivery of our software to customers, saving developer time. Write Python code that effortlessly spools up large clusters and runs benchmarks and applications for ML and HPC workloads. Use AWS Managed Grafana and Athena to digest the massive amount of performance data generated by these workloads and create dashboards for developers and stakeholders. Invent automatic mechanisms to alert developers to functional and performance regressions so they never reach reach customers. Manage the complexity of infrastructure that covers many instance types, software stacks, Linux operating systems, cutting-edge releases and make it easy to evolve.

As a Software Engineer in our NoSQL and in-memory computing platform team, you will lead the software development of large-scale, distributed in-memory storage platform with sub-millisecond latency. You will leverage open source technologies like Valkey, Memcached, and our proprietary technologies. This includes data plane extremely fast and high throughput development, low level optimizations, asynchronous messaging, event-based technologies, real-time failure detection system, horizontal and vertical scaling, auto-remediation, high availability, fault tolerance, storage technologies, snapshoting, and disaster recovery.

In this role, you will have oversight of all things technical, own significant portions of the product, and serve as a mentor for other engineers in their areas of work. As software Enginee, you will helping define the product features, drive system architecture, and spearhead best practices. You will work to enable a quality product and set the groundwork for success in the next phase of the product and beyond. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating a reliable, scalable, and high-performance service requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. You should be someone who enjoys working on complex system software, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals.

Our team focuses on developing products to allow for personalizing the customers experience and providing them with real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield and large-scale engineering and science projects.

Key job responsibilities
- Own architecture and feature development for our Personalization and CV/ML teams.
- Partner with other engineers to ideate, design, and build scalable solutions.
- Utilize data science and ML to develop products that deliver great experiences for customers.
- Tackle complex technical challenges across the stack - from data pipelines to large scale services.

As a Sr. Software Engineer in our NoSQL and in-memory computing platform team, you will lead the software development of large-scale, distributed in-memory storage platform with sub-millisecond latency. You will leverage open source technologies like Valkey, Memcached, and our proprietary technologies. This includes data plane extremely fast and high throughput development, low level optimizations, asynchronous messaging, event-based technologies, real-time failure detection system, horizontal and vertical scaling, auto-remediation, high availability, fault tolerance, storage technologies, snapshoting, and disaster recovery.

In this role, you will have oversight of all things technical, own significant portions of the product, and serve as a mentor for other engineers in their areas of work. As the key member of the engineering team, you will have a significant influence on our overall strategy by helping define the product features, drive system architecture, and spearhead best practices. You will work to enable a quality product and set the groundwork for success in the next phase of the product and beyond. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating a reliable, scalable, and high-performance service requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. You should be someone who enjoys working on complex system software, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals.