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we are looking to hire a talented Verification Engineer to join our VLSI group in Tel Aviv.
You will work alongside other talented engineers to develop our cutting-edge AI chips. If you are motivated and skilled in VLSI and excited about AI, we want to meet you!
Responsibilities:
Collaborate with architecture and design teams to define and implement comprehensive testcases for NN processor and SoC blocks and flows.
Maintain, enhance, and scale the UVM‑based verification environment to support efficient and robust verification.
Own end‑to‑end verification of system flows to ensure the design is fully functional, correct, and meets performance expectations.
Drive root‑cause analysis and debug across RTL, testbench, and system layers to ensure high‑quality design closure.
Define, track, and close functional and performance coverage to guarantee verification completeness.
Continuously improve verification methodologies, automation, and workflows to increase productivity and coverage efficiency.

we are looking for a Image Processing Algorithms Engineer.
You will be responsible for defining end-to-end solutions for image signal processing algorithms, both classical and deep learning-based, from the algorithm level to the system level. You will bring your own hands-on expertise, as well as technical leadership, to see these solutions come to life from inception to full implementation.
You will design ISP components and take them from proof-of-concept to production, pushing image quality to a cutting-edge level. You will survey both academic literature and product-grade solutions, then design and implement dedicated solutions optimized for embedded HW. In addition to striving for best possible image quality, you will be responsible for leading the end-to-end implementation via collaboration with SW and HW implementation teams, targeting deployment to Vision Processor.
Responsibilities:
Serve as a domain expert in the field of image enhancement for video cameras. In particular, you will serve as the technical focal point for your projects, owning and leading the end-to-end technical aspects, while collaborating with external partners, internal teams, other algorithms engineers and cross-functional experts.
Translate high-level product requirements to system ISP building blocks and drive R&D efforts to implement them.
Implement proof-of-concepts, based on both your own ideas as well as taking ideas from publications, and carrying these from theory into practice that fits product requirements.
Evaluate and test your solutions considering both image quality and overall system behavior, benchmarking against existing solutions and baselines. Iterate and improve in order to reach superior results or a better quality/performance tradeoff.

We are seeking a highly motivated Image Quality Engineer to join our VPU system team. You will be responsible for evaluating and improving camera image quality across AI ISP and vision pipelines, with a strong focus on real-world customer scenarios. The role combines hands-on lab work with IQ measurement tools, together with close collaboration with our ISP, algorithm, and customer-facing teams to deliver excellent image quality from internal demos through customer evaluations and product integrations.
Responsibilities:
Analyze image quality metrics (Sharpness, Noise, Color accuracy, Exposure, Dynamic range & Motion blur)
Collaborate with software and algorithm teams to tune image signal processing (ISP) parameters for optimal performance.
Provide image quality support for customer demos and evaluations, working directly with customers to resolve IQ issues.
Provide feedback and recommendations to improve camera performance across different lighting and scene conditions.
Document test procedures, results, and tuning iterations.
Operate and maintain IQ lab setups, including lighting environments, test charts, and measurement tools.

We are looking for an experienced Senior Algorithms Developer to join our team and help design, build, and scale the systems that power our products. In this role, you will work on high-impact projects that combine cutting-edge technology, complex distributed systems, and challenging algorithmic problems in transportation, routing, and navigation. You will have the opportunity to own features end-to-end, make key technical decisions, and shape the architecture and reliability of large-scale systems.
What Youll Do:
Architect, build, and scale robust, high-performance systems from initial design through deployment to production.
Own features end-to-end, from concept through development, testing, deployment, and maintenance, with strong accountability.
Develop features and APIs for concurrent applications in Golang.
Implement and improve geometric and graph algorithms to support core product
functionality.
Maintain Python and Java server applications, ensuring reliability and stability.
Write production-grade code that is efficient, reliable, maintainable, and optimized for performance.
Optimize application performance, uptime, and scalability, while maintaining high standards of code quality and thoughtful application design.
Run benchmarks and write analysis scripts for geographical data.

we are looking for a AI/ML Applied Researcher.
As AI Applied Scientist, youll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore, research, and develop cutting-edge solutions that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team, you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, and stay at the forefront of the technologies in the world, witnessing firsthand their impact on our customers.
A Day In Your Life:
Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models.
Research, design, and build anomaly classification, predictive, insights, recommendations, and other types of models from various data sources, including sensor time-series data, textual data, images, and more.
You will Ensemble multi-modalities by exploiting and enriching the most from our data collections platform and feature extraction and store phases, using classic statistical methods, deep learning, Transformers, Graphs, Foundations Modules (as TSFM, Graph Transformer, TGNN), and any available technology to extract recommendations for taking real-world, life-changing actions.
Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data.
Work with cloud-based big data platforms for training, distributed processing & experiments tracking (e.g., Metaflow, Grafana, Outerbounds, Databricks).
Partnering and contributing to modern technologies: LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis.
As part of our hybrid working policy, you will be expected to work from the office at least twice weekly, which includes at least one day in Haifa.

We are looking for an algorithm researcher to join our team and play a pivotal role in contributing to the company's on-going success.
What you will do:
End to end research, development and deployment of high frequency trading algorithms consisting of:
Creative thinking, performing research and literature review
Explore and design innovative and novel ideas in the fields of machine learning, statistics and signal processing
Development and application of trading algos in a highly competitive real time environment
Enjoy a very short development cycle from concept to live trading
Collaboration with other researchers / developers.

We are looking for a Quant Algorithms Developer to join our research team and play a pivotal role in contributing to the company's ongoing success
What you will do:
End-to-end development and deployment of high-frequency trading algorithms consisting of:
Creative thinking, performing research and literature review
Conceiving innovative and novel ideas in the fields of machine learning, statistics, and signal processing
Development and application of trading algos in a highly competitive real-time environment
Collaboration with other researchers/developers

We are seeking an experienced candidate to join our derivatives product team. The candidate will be responsible for supporting our clients and prospects in their use of our derivatives, data, risk and portfolio analytics solutions products. They will work within the product management team, working closely with the sales, account management, and development teams providing derivatives risk and analytics solutions expertise.


Responsibilities
Pre-sales support - Provide demos, and explain details of the ICE Portfolio Analytics product, valuations, market risk an credit risk analytics solutions to clients and prospects. Gather requirements in order to understand prospect solution needs. Provide sample and test reports based on prospect portfolios in order to demonstrate capabilities. Migrate legacy technology workflows into our new platform ICE Portfolio Analytics
Post-sales support - Analyze detailed client requirements, support the solution implementation process on both the ICE and Client side. Provide assistance to clients in data and analytics challenges.
Product Development - Work with product managers dev and quants to help manage enhancement requests and define requirements for new and existing features.
Training / Subject Matter Expertise - Provide training and subject matter expertise to sales and account management teams on our platform and ICE Portfolio analytics products, how our products are used by external customers within trading, risk management and valuation workflows.
Support the onboarding and production of content for clients consuming data files, valuations and market risk reports.
Validate and explain numbers for data files, valuations, risk content.
Implement integration workflows.

Were looking for a curious, ambitious and self-motivated Product Economy Manager to join our growing Product team. As a Product Economy Manager, youll directly impact millions of our players by creating tools that enable you to balance and optimize the game's economy, resulting in fun and engaging experiences that increase retention and revenue.
Responsibilities
Design and own the user experience from an economy point of view to predict our players behavior according to the data we already have.
Build simulations and predictive models in order to proactively forecast results of content changes.
Monitor individual and macro player balances to ensure the overall health of the games economy.
Explore and design gameplay loops and the way players interact with them.
Tune content performance by devising A/B tests and analyzing their effectiveness.
Identify areas where sinks/sources should be tightened or loosened to maximize engagement, retention and revenue.
Price the games virtual currencies.
Collaborate with Product teams on balancing and designing new features that address existing deficiencies in the game.

The Startup Solutions Architecture team is dedicated to working with startup companies as they build their businesses. Were here to help them deploy scalable, secure, reliable, performant, sustainable and efficient architectures - and do that spending as little time and money as possible.

In this role, youll work directly with a variety of interesting customers in various industries which could include AI/ML, HCLS, FinTech, ClimateTech, HCLS and others, and help them make the best (and sometimes the most pragmatic) technical decisions along the way. Youll have a chance to build enduring relationships with these companies, their founders, and establish yourself as a trusted advisor.

As well as spending time working directly with customers, youll also get time to sharpen the saw and keep your skills fresh. We have more than 200 services across a range of different categories and its important that we can help startups take advantages of the right ones. You will act as a customer advocate with our product teams to make sure we are building the right products and features for the startups you work with.

In addition, this role will provide plenty of opportunities to share your knowledge more broadly by working on technical content and presenting at events.

Key job responsibilities
Help a diverse range of startups to adopt the right architecture at each part of their lifecycle.
Support startups in architecting scalable, reliable and secure solutions.
Support adoption of a broad range of our services to deliver business value and accelerate growth.
Support the evolution and roadmap of the platform and services, connecting our engineering teams with our customers for feedback.
Establish and build technical relationships within the startup ecosystem, including accelerators, incubators and VCs.
Develop startup specific technical content, such as blog posts, sample code and solutions, to assist customers solve technical problems and reduce time-to-market.

In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint.

Key job responsibilities
- Design, build, test, and operate production AI features used by multiple teams and operating in our scale.
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention.
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply.

Are you a Masters or PhD student interested in a 2026 Internship in Data Science? If so, we want to hear from you!

We are looking for a customer obsessed Data Scientist Intern who can innovate in a business environment and is comfortable owning data to drive step-change innovation in the EMEA region or worldwide.

As a Data Science Intern, you will have the following key job responsibilities:
Work closely with scientists and engineers to develop new algorithms to implement scientific solutions for our problems.
Design, run, and analyze A/B tests.
Work on an interdisciplinary team on customer-obsessed research.
Experience our customer-focused culture.
Create and deliver projects that can be quickly applied starting locally and scaled to EMEA/worldwide.
Create and share data with audiences of varying levels technical papers and presentations.
Define metrics and design algorithms to estimate customer satisfaction and engagement.

We are looking for a Senior VLSI Verification Engineer to join the ride as we spearhead the next revolution in electronics!
Position location: in our Haifa or TLV offices, at least 2 working days at Haifa site (Hybrid model)
Responsibilities:
Develop and maintain advanced verification environments using SystemVerilog and UVM, ensuring scalability, configurability, and reusability across multiple IPs.
Design, implement, and execute comprehensive testbenches and random test suites to validate functional correctness, robustness, and corner-case behavior of complex IP within various SoC integration environments.
Drive coverage closure by defining, collecting, and analyzing code and functional coverage metrics; identify verification gaps and ensure complete validation of feature sets prior to sign-off.
Lead debug and root-cause analysis efforts in collaboration with senior verification and design engineers, leveraging carefully crafted logs, waveform analysis and assertions to isolate and resolve design or environment issues.
Collaborate closely with architecture, design, and firmware teams to ensure verification completeness, alignment with design intent, and seamless integration at the system level.
Contribute to methodology and infrastructure improvements, including reusable UVM components, automation scripts, and best practices that enhance team efficiency and verification quality.