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we are looking for a Algorithm Team Lead
As a Team Leader on the Bidding Strategies Algo team in our TLV Office, youll play a vital role in shaping how Advertisers bid in real-time auctions at massive scale.
You will lead the optimization of our existing bidding strategies and the design of new ones, formulating bidding problems mathematically, applying control-theoretic methods, and analyzing the complex dynamics of a closed-loop.
By guiding team members and partnering closely with engineering, youll turn theoretical insights into robust production solutions. Your work will directly influence advertiser ROI efficiency across thousands of advertisers.

We are forming a new team to explore AI Compilation Boundaries
This team will operate under a unique manner, as described below -
The environment
- Startup-like intensity
Small team
High ownership
High visibility
Merit is the essence, not titles
- Fast pace
Todays state of the art is tomorrows baseline
We aim to go beyond
- Incubator mindset
Take on hard challenges, dismantle, and regroup as novelty
- Elite technical culture
Strong experts
Strong standards
Strong execution.
Ratio beats seniority, not the other way around
- No artificial boundaries
We challenge assumptions, and question constraints, and leave no quarter
- Direct exposure to the latest and greatest AI technology
Real hardware
Real toolchains
Real large-scale AI applications
All pass through and impacted by our work
- First-principles thinking
out-of-the-box is a compromise
Do not accept that a box had to exist in the first place.

we are looking for a Bidding Strategies Algo Team Leader
As a Team Leader on the Bidding Strategies Algo team in our TLV Office, youll play a vital role in shaping how Advertisers bid in real-time auctions at massive scale.
You will lead the optimization of our existing bidding strategies and the design of new ones, formulating bidding problems mathematically, applying control-theoretic methods, and analyzing the complex dynamics of a closed-loop.
By guiding team members and partnering closely with engineering, youll turn theoretical insights into robust production solutions. Your work will directly influence advertiser ROI efficiency across thousands of advertisers.

*Part-Time or Full-Time Opportunity

Responsibilities:
The research focuses on designing next-generation rack and SuperPod architectures that combine elasticity through resource pooling with optimal performance enabled by holistic co-design across applications, parallel programming models, interconnect fabrics, and compute, memory, and switch chip architectures. On the communication side, the work architects scalable, high-bandwidth, and low-latency scale-up fabrics across multiple chips at rack and SuperPod scale. On the memory side, it explores richer protocol semantics beyond traditional load/store operations to reduce unnecessary data movement and rethinks memory hierarchies to expose large-scale capacity with near-local latency. On the compute side, it analyzes the requirements of General Compute and Generative AI workloads and their parallel programming models to fully leverage large-scale system resources.
Investigate and prototype new architectural features, including but not limited to:
o Tiered Memory: Explore advanced memory organizations, including hardware-managed caching, to enable software-transparent, fine-grained promotion and demotion of cache lines across the memory hierarchy.
o Prefetching/Speculation: Evaluate and design existing and next-generation hardware prefetching and speculation mechanisms to effectively hide local and remote memory latencies at rack and SuperPod scale.
o Near-Memory/Network Processing: Develop support for key primitives executed at the memory and network layers to minimize unnecessary data movement across sparse, dense, and pointer-based data structures.
o Workload-Centric Co-Design: Study optimal parallelization strategies at rack and SuperPod scale for both General Compute and Generative AI workloads, and design dedicated hardware support for widely used parallel programming primitives such as RPCs and collective communication.
Write reports and papers on the research results and present them.

we are looking for a Senior Algorithm Engineer (RTB)
As a Senior Algorithm Engineer on the Algorithms team in our Tel Aviv office, youll play a vital role in building machine learning models that power real-time bidding and optimize billions of daily auctions.
Youll design and evolve large-scale ML solutions that drive bid optimization, price prediction, win-rate prediction, and auction strategy.
Working at the intersection of machine learning, data, and engineering, youll take models from research and experimentation through production, creating solutions that directly impact advertiser performance, publisher revenue, and marketplace efficiency.

we are looking for a Software Development Team Leader Production Engineering.
As a Software Development Team Leader Youll lead a team of strong engineers building the core platform behind one of the largest real-time recommendation systems in the world, with full ownership from design to production and the freedom to move fast and solve complex infrastructure challenges.1.4 billion users. 950,000 requests per second. 140TB of fresh data every day. 800M metrics every minute (for monitoring). Thats the scale Taboolas Production Engineering team operates at - and were looking for a Software Development Team Leader to help drive what comes next.

We're building one of the most agentic, fast-moving AI products in the web search category - and we need a leader who can own it end to end. This is a cross-functional group leader role sitting at the intersection of AI product leadership and high-scale AI infrastructure: you'll lead the team building our agentic search product, and own the data infrastructure that indexes and caches the web at scale.
What Youll be Doing:
Set technical and product direction for an agentic web search AI system, from research and benchmarking through production and scale.
Bring deep, hands-on expertise in LLMs, agentic architectures, evaluation/benchmarking, and modern AI/LLMOps practices; make build-vs-buy and architecture calls with authority, not just strategy.
Lead and develop small group of two teams with top notch engineers, providing technical leadership, growing engineering managers, and driving execution across both product and infrastructure.
Drive the product to a category-winning position within an aggressive timeline.
Own the infrastructure supporting an API surface currently serving millions of calls/month, with a mandate to lead its growth to billions/month.
Bring proven, hands-on experience scaling high-throughput, high-availability infrastructure - not just AI-adjacent platform experience - including reliability, cost, and performance at that scale.
Own the data infrastructure needed to run the product, including large-scale data pipelines, storage, and operations.
Lead a worldwide web caching and indexing operation at high scale, ensuring freshness, coverage, and cost-efficiency of the index.

We're looking for an Infrastructure Engineer to go deep into that layer: build and own core proxy and networking infrastructure, not configure someone else's.
You bring the same range as our core infrastructure engineers - proxies and networking, browser internals, and cloud-native systems (Kubernetes, Docker, AWS) - with the depth to design and debug at every layer of the stack, plus a genuine specialization in networking and proxy systems.
What Youll be Doing:
Build core proxy infrastructure - reverse proxies, IP rotation, session management, intelligent routing.
Own IP pool health - reputation scoring, monitoring, blacklist recovery - across residential, mobile, datacenter, and ISP proxies.
Implement geo-targeting at country, city, and ASN level.
Work at the protocol level (TCP/UDP, sockets, HTTP/HTTPS/SOCKS5, HTTP/2/3) and the Linux networking stack underneath.
Build monitoring, health checks, failover, and bandwidth/usage metering for the proxy fleet.
Deploy and scale on cloud-native infrastructure (Kubernetes, Docker, Terraform).
Use AI-assisted development tools daily.

we are looking for a Software Engineering Team Lead.
You will own the AI platform across all Sedric product lines - customer-facing policy configuration, internal tooling, and the architectural decisions that determine whether we scale reliably or expensively. Your responsibilities include:
Lead an engineering team - own output, growth, and retention
Build and evolve agentic systems that make high-stakes compliance decisions at scale: 99% accuracy, low cost, high throughput
Set guardrails, change management practices, and engineering procedures that meet the expectations of tier-1 financial institutions
Own customer-facing policy workflows and internal tooling for Technical Account Managers
Partner with the Head of R&D on technical direction and hiring

We're looking for a builder to design and own the technical backbone of our go-to-market engine. By combining AI, automation, data, and modern business systems, you'll build the infrastructure that enables our commercial teams to scale faster.
This isn't a role focused on maintaining existing tools or pulling reports. You'll create new workflows, integrations, AI-powered automations, and internal products that have a direct impact on revenue and the way our business operates.
Working across Operations, Sales, Marketing, Customer Success, Product, and Engineering, you'll solve complex business problems through technology and build the systems that power Lema's next stage of growth.
What you'll do:
Own and evolve our GTM technology stack
Build AI workflows, automations, and internal tools
Design integrations across HubSpot, product data, and third-party platforms
Build the infrastructure that helps our commercial teams move faster and operate more efficiently
Manage and optimize CRM and revenue systems
Build dashboards, reporting, and revenue insights
Partner with Sales, Marketing, Customer Success, Product, and Engineering to eliminate operational bottlenecks and scale our GTM motion

We are seeking a highly motivated V2X Customer Engineer to join our Customer Engineering team. The successful candidate will serve as a trusted technical advisor to automotive OEMs, Tier-1 suppliers, module vendors, and ecosystem partners developing products based on our V2X solutions.

Our team is deeply technical and engineering-driven. In addition to customer-facing activities, Customer Engineers actively develop software, tools, demonstrations, proof-of-concepts, and reference solutions that help customers successfully evaluate, integrate, validate, and deploy V2X technology.

The role combines customer interaction, system engineering, software development, troubleshooting, and innovation, allowing engineers to influence both customer success and product evolution.

Key Responsibilities

Customer Technical Leadership

Act as the primary technical interface between customers and our engineering teams.

Support customers throughout the product lifecycle, from evaluation and design through validation and production.

Lead technical discussions, design reviews, architecture assessments, and integration activities.

Understand customer applications, requirements, and deployment scenarios, and provide expert technical guidance.

Support customer field trials, interoperability events, demonstrations, and production programs.

Engineering and Development

Design and develop software tools, and applications that enhance customer adoption of our V2X technologies.

Develop and maintain demo applications, proof-of-concepts, and engineering prototypes used for customer engagements, industry events, and internal validation.

Implement customer-specific adaptations, reference implementations, and integration examples that accelerate development and reduce technical risk.

Create automation solutions for testing, validation, diagnostics, data collection, and performance analysis.

Contribute code, bug fixes, and feature enhancements to internal software projects when required.

Technical Problem Solving

Reproduce, analyze, and resolve complex system-level issues spanning software, hardware, RF, networking, security, and standards compliance.

Drive root-cause investigations in collaboration with engineering teams.

Analyze logs, traces, packet captures, and field-test results.

Develop workarounds, reference solutions, and validation methods for customer issues.

Product and Ecosystem Support

Provide technical training, workshops, and hands-on enablement activities.

Support interoperability testing with ecosystem partners.

Gather customer feedback and communicate requirements and market insights to Product Management and Engineering.

Contribute to technical documentation, application notes, training materials, and best practices.

As a leading technology innovator, we push the boundaries of what's possible to enable next-generation experiences and drive digital transformation, creating a smarter, connected future for all.

As a company AI Software Engineer, you will develop and implement cutting-edge AI techniques that enable the efficient utilization of state-of-the-art solutions across various technology verticals.

In this position, you will be responsible for leading software development and implementation of the company AI Stack features within our AI Runtime (QAIRT) SDK, specifically Core software including Generative AI Inference Extensions. You will contribute to the efficient execution of advanced deep neural networks (DNNs), large language models (LLMs), and other modern AI architectures. You will also be responsible for supporting AI stack that optimizes runtime efficiency, latency and power consumption of AI applications running Machine Learning workloads on our low-power AI accelerators. The DSP core design work directly supports our NPU and GPU solutions, enabling optimized inference across diverse hardware platforms.

You will have the opportunity to demonstrate your passion for software design and development through your analytical, design, programming, and debugging skills.
Responsibilities
Develop real-time software for our AI DSPs to support the execution of the latest generative AI models on Snapdragon platforms

Develop and implement core components of our AI Stack runtime framework for inference on resource constrained AI systems, operating in low power, small memory footprint platforms

Validate, analyze, and optimize the performance and accuracy of software through detailed testing of machine learning use cases

Debug complex issues, perform root cause analysis, and ensure high system reliability

Collaborate with cross-functional teams to deliver robust, scalable AI software solutions

Contribute to a culture of technical excellence, knowledge sharing, and continuous improvement within the AI Software team

Participate in design and code reviews

Working in global environment and collaborating inside the team and across other AI teams

Product Operator is a hybrid role for someone with Python, SQL, or other development experience who wants to grow fast in a startup environment. Youll support our engineering and data teams, work on client insights, and get hands-on with our business needs. Beyond coding, youll act as the right hand to the CTO, helping drive both technical and business initiatives.

Responsibilities
Support engineering and data teams with coding, testing, and analysis

Provide insights from client data to guide product and business decisions

Assist with product management tasks

Take ownership of cross-team tasks that require a technical mindset

Partner closely with the CTO to move projects forward across the company