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Required Staff Software Engineer, AI
Company Overview
We are the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
Come join the team as a Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Responsibilities:
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits

we are looking for a Tier 2 Support Engineer (Linux) .
As a Tier 2 Support Engineer, you will be responsible for managing global customer technical issues, overseeing internal escalations, maintaining the knowledge base, providing product feedback, and leading support-related projects. Our office is in Jerusalem and we work onsite.
Responsibilities:
Take ownership of technical issues and provide tier 2 support for major financial clients.
Handle complex troubleshooting, investigations and debugging, particularly in Fluent code.
Implement configuration modifications and thoroughly document troubleshooting and resolution steps.

Required Senior Algorithms Researcher
Tel Aviv
We are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
As an Senior Algorithms Researcher, you'll join a team that explores the vast collection of relevant data and creates the optimization algorithms that drive our mass scale, complex, multi-dimensional automated dispatch.
What You'll Do:
Mathematically model the competing demands on our system.
Develop online algorithms for real-time decision-making, focusing on optimizing system utilization while maintaining a high quality of service for riders.
Design and implement highly efficient and scalable algorithmic solutions to power decision-making systems under large-scale, real-world operational demands.
Use sophisticated statistical methods to analyze demand, traffic and fleet performance, and generate insights that inform algorithm development.

Required Algorithm Developer
Tel Aviv
We are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
As an Algo Engineer, youll join our R&D center in TLV as part of the Algo Engineering group, which is responsible for the infrastructure and engineering that supports various algorithms that run in production on our live servers. The position requires deep knowledge of software engineering methodologies and modern infrastructure tools. You will maintain and improve current algo infrastructure, as well as develop new technical products and systems that support the various needs we have here. If youre a developer by heart and enjoy working on large-scale cloud infrastructure systems in an algorithms oriented hands-on environment, this position might be just for you!
What You'll Do:
Take full ownership of large scale cloud-based infrastructure and systems
Develop and maintain multiple mission critical services
Immediate effect over Via passengers and clients around the world, like making our booking application respond to users significantly faster.
Work in close collaboration with Devops teams and Algorithms researchers and researchers

We are looking for hard-working, sharp, and humble professionals with proven technical customer-facing experience.
Our Technical Account Managers are trusted advisors and consult our customers upon their monitoring, security & observability journey. This role embodies the critical intersection of very high technical expertise and a focus on customer satisfaction, renewal and expansion.
Technical Account Managers are senior-level roles and are expected to professionally and accurately solve problems, show product value and interact across different platforms and types of software, from software engineers and DevOps all the way to the C-suite.
Responsibilities:
Solve customers technical problems by adopting the platform, integrating new data and existing integrations
Understanding customers technical requirements and business goals to consistently create new artifacts and deliver value
Lead the onboarding process, from new integrations, creation of artifacts to trainings and troubleshooting
Know the Log Management / Observability markets well and be able to help customers by using the best technical practices available
Build a successful and ongoing game plan for each customer based on a specific data analysis and customers needs
Establishing relationships and engaging with technical counterparts to drive product adoption
Conduct QBRs with customers to consistently reflect delivered value and ensure customers needs
Advocate internally for customer needs within and influence a product development roadmap
Partner with the Sales team on renewals, upsells, cross-sells, and expansion opportunities

Were looking for a hands-on, entrepreneurial Team Lead to take full ownership of Ollys knowledge systems and build one of the most critical pillars of the product.
Responsibilities:
Technical and managerial leadership of the Knowledge team
Designing and building production-grade knowledge systems at scale
Making architectural decisions and tradeoffs
(LLMs vs embeddings vs heuristics, online vs offline computation, cost vs latency)
Driving research, experimentation, and innovation around what knowledge means for AI Agents
Hiring, interviewing, mentoring, and growing the team
Working closely with Agent, Platform, and Product teams

Required Field Application Engineer - AI Accelerators
In this position:
You will serve as the primary technical interface between us and our customers for our AI accelerator product line and future accelerator platforms. You will support customers through the full product lifecycle - from pre-sale technical engagement and proof-of-concept development through production deployment and ongoing field support. You will work hand-in-hand with R&D to investigate and resolve complex issues, develop reference applications and demos, and act as a trusted technical advisor to both customers and internal teams.
Responsibilities
Develop a comprehensive understanding of each customers use case, system architecture, and integration requirements, serving as their primary technical point of contact for all accelerator-related topics.
Provide deep technical support across the accelerator portfolio, including the Dataflow Compiler, model compilation, and runtime integration.
Reproduce, investigate, and drive resolution of complex hardware and software issues in close collaboration with R&D, spanning PCIe integration, driver-level debugging, inference pipeline optimization, and power management.
Lead technical alignment with customers - clearly communicating issue status, setting expectations, coordinating across internal teams, and ensuring customer satisfaction.
Design and implement customer-facing demo and reference applications in C/C++, showcasing accelerator capabilities at major industry events such as CES and other trade shows.
Support pre-sale technical activities including solution scoping, feasibility assessments, and technical presentations to prospective customers.
Provide knowledge transfer and technical enablement to FAEs and partners to scale field support effectiveness.
Collaborate closely with R&D, Product, and Business teams to translate customer needs into actionable product requirements and roadmap input.

Required CI and Automation Engineer
About the position
As a CI and Automation Engineer leading our Release efforts, you will bridge the gap between pure DevOps/Automation and the final delivery of our AI software stack. You wont just be building pipelines; you will be the technical owner of the release cycle, architecting the automation and branching strategies that ensure our firmware and software are production-ready.
You will act as the Technical Gatekeeper, using your deep-dive coding skills in Python and Bash to build the infrastructure of trust that powers our releases. This role is for a hands-on engineer who wants the strategic responsibility of making the Go/No-Go call based on the very automation they have built. If you are passionate about CI/CD excellence and want to see your code directly impact the delivery of world-class AI hardware, this is the role for you.
Responsibilities:
Release Ownership: Lead the technical execution of release cycles, acting as the primary authority and Gatekeeper for software and firmware delivery.
CI/CD Engineering: Design, implement, and maintain robust CI pipelines (e.g., Jenkins, Bitbucket) tailored for release stability and automated validation.
Hands-on Automation: Develop and maintain tools and scripts (Python, Bash) to automate the entire release flow-from versioning and branching to automated reporting.
Technical Triage: Deep-dive into build failures and integration issues. Analyze logs and code changes to make data-driven Go/No-Go decisions.
Branching Strategy: Define and manage complex Git strategies to ensure smooth integration across multiple versions and hardware targets.
Visibility & Reporting: Provide real-time visibility into release health and quality metrics through dashboards and automated status reports.

Required Application Engineer
Description
In this position, you will engage in pre-sale technical activities while supporting our existing customers.
You will respond to technical inquiries, reproduce and investigate complex issues across a wide range of domains in close collaboration with the R&D team, and drive effective resolutions. You will design and implement customer-facing demo and reference applications in C++, develop AI applications that showcase our products capabilities at major industry events such as CES and other trade shows, and provide knowledge transfer to our FAEs to strengthen field enablement and customer success.
Responsibilities
Understand the customers technical use case for our technology and the customers system comprehensively.
Develop a comprehensive understanding of each customers technical use case and system architecture, leveraging this knowledge to effectively support R&D in analyzing and resolving issues.
Serve as a subject matter expert on our VPU product, maintaining deep knowledge of product features and the roadmap in order to support FAEs and Tier-1 customers.
Lead technical alignment processes with customers by clearly communicating status, addressing questions and requests, and coordinating responsibilities across the company.
Master our technical messaging to effectively support business development and sales activities.
Design and implement demo applications when needed and occasionally participate onsite in customer demos or engagements.
Collaborate closely with R&D, Product, and Business teams to achieve key business milestones and drive new product requirements based on customer needs.
We are passionate about building an inclusive and equitable working environment.
We promote a flexible work environment that encourages work-life balance.
If you dont meet 100% of the requirements- no worries!

we are seeking a Senior Infrastructure Engineer to join our Core SRE team and help build the next generation of our stream-based observability platform. We deliver real-time data analytics at scale to some of the worlds leading tech companies
The Core SRE team is responsible for the foundational infrastructure that powers :
Kubernetes Infrastructure: Managing over 10,000 nodes across multiple cloud providers and regions. our production is 100% Kubrenetes based
Kafka Clusters: Maintaining critical, large-scale Kafka clusters processing billions of events per second.
Automation & Operators: Building and maintaining both open-source and custom Kubernetes operators to manage complex stateful workloads like Kafka. Our tech stack is constantly evolving. It includes: Kubernetes, Go (Golang), AWS, GCP, Kafka, Istio, and more.
Responsibilities:
Act as a hands-on technical leader with deep expertise in modern cloud infrastructure.
Serve as a go-to person in the team - leading through influence, not hierarchy.
Collaborate cross-functionally to refine requirements and propose innovative, scalable solutions.
Drive long-term, high-impact infrastructure projects across multiple teams, from design to implementation, within defined timelines.
Contribute to improving system reliability, performance, and cost-efficiency at scale.

Required Accelerator - Application Engineer
Description
A leading high-tech company, developing top-performing AI processors for edge devices in various industries. We combine an extensive understanding of the way neural networks operate, with our teams expertise in SW and HW architecture, to develop products that transform the way we use machines to perceive and analyze the world around us.
Our company is led by a group of experts from a wide range of disciplines, combining experience from elite intelligence units as well as leading tech companies in Israel and abroad, with a track record of executing complex projects from the ground up. As an AI chip company, we believe that AI can help us create a better, safer, more productive, and more convenient world. For this to happen, AI needs to be available at scale and on the edge.
To this end, our team of hardware and software leaders is developing top-performing AI processors, dedicated to AI tasks on edge devices in a wide variety of applications and industries including smart cities, automotive, manufacturing, agriculture, retail, and many more. With hundreds of customer programs around the world, and a wide ecosystem of software and hardware partners, we are leading the edge AI revolution.
In this position
In this role, you would work very closely with both customers and internal teams. On the technical side, you would build demos and reference applications in C++, Python, and GStreamer, helping showcase and enable different AI use cases, including vision AI and generative AI.
You would also support customers as they evaluate and deploy our technology, helping them optimize models, integrate with our accelerator stack, and troubleshoot issues. Internally, the role acts as a bridge between customers, R&D, product, and business teams to make sure technical requirements and feedback are clearly communicated.
Responsibilities
Design and develop end-to-end demo and reference applications in C++, Python, and GStreamer for Vision AI and GenAI use cases.
Own deep technical expertise across the accelerator stack, including Dataflow Compiler, runtime, model quantization, performance optimization, and roadmap direction.
Support deployment and optimization of deep learning models, including transformer-based and generative models.
Lead technical alignment processes with customers from evaluation through deployment.
Act as primary technical focal point for selected strategic accounts.
Provide structured and high-quality pre-sales and post-sales technical support.
Drive issue resolution across Customer Success and R&D, ensuring clear ownership and follow-up.
Translate business needs into technical requirements and collaborate with Product to influence roadmap decisions.
Ensure excellent response time and support quality for customer escalations.
Define best practices, documentation, and internal workflows for application engineering.

we are hiring a Software Engineer to help revolutionize the world of observability. Using cutting-edge AI-driven technology, we are redefining how organizations monitor, analyze, and optimize their systems-making observability more intelligent, efficient, and accessible than ever before.
As we scale, we seek top talent to push the boundaries of innovation and shape the future of AI-powered observability. If youre passionate about solving complex challenges and building game-changing technology, join us in transforming how the world understands and interacts with data.
Responsibilities:
End-to-end development and ownership of products and features, from design to scalable and predictable production behavior
Solve diverse and complex problems in a high-scale, cloud-native environment
Collaborate with other engineers and product managers to improve product functionality, scalability, and performance
Design, develop, and maintain robust, secure, and efficient software solutions
Ensure high system reliability by implementing best practices in monitoring, observability, and automation
Review code, architecture, and data to identify and troubleshoot technical and performance issues
Work with AI/ML teams to integrate AI capabilities, including model monitoring, evaluation, and fine-tuning

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 seeking engineers with hands-on experience in developing and managing distributed systems and microservices in a production environment. The ideal candidate should have a solid background in infrastructure and operations.
The team builds high-throughput ingestion and processing pipelines, efficient storage on object stores, and systems for data governance, usage reporting, and routing data to multiple physical locations.
You will work on cloud-native, production systems written in Rust and Scala, operating at scale with Kafka, Postgres, Redis, and object storage, run on Kubernetes and operate in a multi-cloud environment.
Responsibilities:
Develop and operate distributed systems in production
Build Kafka-based ingestion and processing pipelines
Design systems for data governance, retention, deletion, and usage reporting
Work with Postgres and Redis, requiring solid database design and operational knowledge
Implement efficient persistence using column-oriented data formats and object storage