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We're hiring an exceptional Applied AI Scientist to join our team!
In this role, you'll design and deploy enterprise-grade AI agents that drive real business impact across our core functions - Sales, Marketing, Customer Success, Customer Support, Risk, and Finance. You'll be building agentic systems that execute complex, multi-step business workflows end-to-end. The ideal candidate is a hands-on builder with deep AI expertise who thrives on turning complex business problems into reliable, production-grade AI systems.
Why join us?
We are the AI-powered platform for finance automation, elevating how finance teams operate in the global economy. We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency. Our platform provides a comprehensive suite of finance automation solutions designed for mid-market businesses across accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury. Our partners with leading financial institutions such as Citi, Wells Fargo, J.P. Morgan, and Visa, enabling over 5,000 global companies to efficiently and securely pay millions of suppliers and payees across 200+ countries and territories, in 120 currencies.
In This Role, You Will Be Responsible For:
Enterprise AI Agent Development: Designing, building, and deploying AI agents that automate and augment high-value workflows across business functions - including lead qualification and outreach (Sales & Marketing), churn reduction(Customer Success), and Ticket deflection (Support).
Agentic Architecture & Orchestration: Owning the end-to-end agent stack - from tool use, memory management, and multi-step planning to human-in-the-loop escalation patterns, guardrails, and audit trails suited for an enterprise fintech environment.
Knowledge Systems: Building and maintaining RAG pipelines that ground agents in our proprietary knowledge - product documentation, customer data, financial records, and internal playbooks - using vector databases, hybrid search, and re-ranking.
Evaluation & Continuous Improvement: Defining agent evaluation frameworks that measure task completion, accuracy, hallucination rates, latency, and business impact - then iterating on agent behavior based on real usage data and stakeholder feedback.
Cross-Functional Collaboration: Partnering with stakeholders across the company to define agentic use cases, translate business requirements into technical features, and deliver products that create measurable ROI - from data preprocessing through product deployment.

We are looking for a highly experienced System Engineer who embodies ambition and positivity. Someone who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfill the evolving needs of our expanding customer base.
Join us in this exciting journey to redefine the future of quantum computing.
Location: Israel (3 days from the office, 2 days hybrid)
Main Responsibilities:
Feature Ownership (Architecture to Production):
Take ownership of features once system architecture is defined, driving implementation, integration, and validation through to release.
Serve as the accountable owner for assigned features post-release, triaging, reproducing, and resolving customer-reported issues, and looping in architecture only when root cause requires a design change.
System Integration & Technical Leadership:
Ensure proper operation and integration of all software components and their interfaces with logic and validation modules.
Investigate and resolve complex system-wide issues and bugs across multiple teams.
Cross-Team Collaboration:
Key stakeholder in defining interface contracts (APIs, protocols, timing/resource constraints) across software, hardware, and RF signal-chain boundaries.
Drive integration plans, dry runs, and troubleshooting for system-wide features.
Serve as the R&D point of contact for the Customer Support team, providing technical guidance and escalation support on customer-reported issues.
Quality & Execution Excellence:
Champion clean architecture, code reviews, automated testing, and CI/CD best practices.
Ensure documentation (design specs, interface definitions, runbooks) is complete and up to date.

We are looking for a Verification Engineer who embodies ambition and positivity, who can passionately take ownership of their responsibilities, collaborating effectively with remote teams to not only meet but exceed our objectives and fulfil the evolving needs of our expanding customer base.
The Verification engineer we look for will be a highly talented and motivated person, who is a real team player and can collaborate closely with engineers from other disciplines and quantum physicists.
Responsibilities:
Practicing the full range of verification aspects
Creating a verification environment from scratch (drivers, monitors, coverage...)
VIP (DDR/PCIe/AXI) integration
Defining verification sequences via a complex control-flow constraint set
System understanding of a full-stack product with strong HW-SW coupling
Reference model integration
Test plan definition
Defining verification flows and creating the proper infrastructure to support it.

We are seeking an experienced Signal/Image Processing and Machine Learning engineer to join our team. The role focuses on developing innovative, real-time deep learning and signal processing solutions for new sensing and imaging systems, including video restoration. You will be part of an interdisciplinary team developing technologies that will shape future Apple products.
Description
Algorithm and model development:
- Design, implement, and optimize signal processing and machine learning models for sensing and imaging tasks, including video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
- Analyze your algorithm's results and benchmark them against leading methods, and theoretical bounds.
- Optimize models for real-time performance, low latency, and resource efficiency on-device.

Sensing and research:
- Develop algorithms that combine classical signal processing with learned models to extract robust information from sensor data.
- Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for real-time, on-device inference.
- Explore how algorithmic approaches can mitigate artifacts and limitations of new sensing and imaging systems.
- Stay current with recent advances in signal processing, computer vision, and machine learning.

Collaboration and technical leadership:
- Work closely with ML researchers, SW, HW, sensor, and architecture engineers to translate research ideas into robust models and practical, shipping systems.
- Provide technical guidance and mentorship to junior engineers, and help shape the team's technical direction.

Responsibilities
- Own the end-to-end development of real-time algorithms, from concept and prototyping through validation and deployment.
- Define evaluation methodology, metrics, and failure analysis processes for sensing and imaging algorithms.
- Drive trade-off decisions among accuracy, latency, power, and memory across algorithm, HW, and system constraints.

We are seeking an experienced Signal/Image Processing and Machine Learning engineer to join our team. The role focuses on developing innovative, real-time deep learning and signal processing solutions for new sensing and imaging systems, including video restoration. You will be part of an interdisciplinary team developing technologies that will shape future Apple products.
Description
Algorithm and model development:
- Design, implement, and optimize signal processing and machine learning models for sensing and imaging tasks, including video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
- Analyze your algorithm's results and benchmark them against leading methods, and theoretical bounds.
- Optimize models for real-time performance, low latency, and resource efficiency on-device.

Sensing and research:
- Develop algorithms that combine classical signal processing with learned models to extract robust information from sensor data.
- Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for real-time, on-device inference.
- Explore how algorithmic approaches can mitigate artifacts and limitations of new sensing and imaging systems.
- Stay current with recent advances in signal processing, computer vision, and machine learning.

Collaboration and technical leadership:
- Work closely with ML researchers, SW, HW, sensor, and architecture engineers to translate research ideas into robust models and practical, shipping systems.
- Provide technical guidance and mentorship to junior engineers, and help shape the team's technical direction.

Responsibilities
- Own the end-to-end development of real-time algorithms, from concept and prototyping through validation and deployment.
- Define evaluation methodology, metrics, and failure analysis processes for sensing and imaging algorithms.
- Drive trade-off decisions among accuracy, latency, power, and memory across algorithm, HW, and system constraints.

We are looking for a hands-on engineer to join our Platform Architecture post-silicon team. This team analyzes and tunes the performance and power of Apple Silicon for the Mac, and takes the learnings and measurements to drive SoC architecture change for future chips. If you work comfortably across the hardware/software stack, and the idea to bring up brand-new chips that just arrived from the fab does not scare you but gets you excited, when we would like to hear from you.

You will join a multidisciplinary team of architecture, silicon design, and system software engineers driving the performance and energy efficiency of Apple SoCs. The work spans application software, system software, SoC architecture, and microarchitecture, and sits at the intersection of measured silicon behavior and forward-looking architecture definition. You will build a deep understanding of how current and planned Apple products behave end to end, and use it to influence both hardware and software direction.

Responsibilities
Tune and define SoC memory and fabric performance state controllers on unreleased silicon, and propose improved control and observability mechanisms for future generations.
Plan and execute architecture studies that drive performance and energy-efficiency decisions for future SoCs.
Build tools, workflows, and automation for repeatable analysis of simulated and measured data, including terabyte-scale traces from prototype devices.
Architect hardware features that improve workload characterization and enable robust online control of power and performance.
Debug complex interactions between system software and SoC hardware.
Assess the feasibility of future use cases, SoCs, and products.
Communicate findings across chip design, architecture, software, and system teams to enable data-driven decisions.

Our team is new, growing, and evolving quickly, and we are hiring across multiple disciplines. We work at the intersection of machine learning, hardware, and software, creating technologies that reshape how people communicate and experience the world around them in everyday life.

We are looking for someone who operates independently and leads projects, not someone who waits to be handed a task. You will be part of a development team, working closely with the central Platform Engineering group to deliver reliable cloud infrastructure, backend services, pipelines, and observability for the team's products. You will collaborate with developers and mentor other engineers along the way. This role is fully onsite.

Responsibilities
Own the CI/CD, cloud infrastructure, and operational health of your team's applications and services.
Build and operate cloud backend services, tooling, and automation in Python and Go.
Partner with the Platform Engineer to adopt shared tooling and contribute improvements back to the platform.
Design and manage cloud infrastructure as code.
Build observability (metrics, alerting, dashboards) and drive reliability and performance improvements.
Set technical direction and standards for deployment and operations within the team.

Our team is new, growing, and evolving quickly, and we are hiring across multiple disciplines. We work at the intersection of machine learning, hardware, and software, creating technologies that reshape how people communicate and experience the world around them in everyday life.

We are looking for someone who operates independently and leads projects, not someone who waits to be handed a task. You will own full stack initiatives from idea through production, collaborate with product, design, and hardware teams, and mentor other engineers along the way. This role is fully onsite.

Responsibilities
Shape the architecture and quality of our Python services and the React-based interfaces built on top of them.
Design and build data collection backends, APIs, and internal tools used by research and hardware teams.
Build and maintain desktop tooling, including Electron-based applications
Set technical direction and the standards other engineers build upon.

As a member of our ML group, you will design, prototype, and ship agentic GenAI systems used by chip design engineers to accelerate their day-to-day workflows. We are looking for a machine learning engineer who is energized by taking LLMs from "promising demo" to "depended-on tool": designing the agent loops, retrieval pipelines, and evaluation frameworks that make this transition real. Success in this role means agents that meaningfully shift how our customer teams work, backed by measurements you trust.

You will join a growing team of ML and software engineers building GenAI solutions for chip design teams. In this role, you will:

Design and build agentic systems featuring multi-agent coordination, long-horizon reasoning, tool use, and planning frameworks.
Develop end-to-end solutions, including domain-specific agents and high-performance retrieval pipelines spanning diverse data sources.
Partner with subject-matter experts on the customer teams to translate their workflows and rules of thumb into concrete agent assignments, prompts, tools, and guidelines.
Build the evaluation backbone for our agents: define success measures, curate offline golden sets, and instrument online telemetry to power feedback loops that drive fast, safe iteration with real cost and quality control.
Drive prompt engineering, model selection, and lightweight model adaptation as the workloads demand.
Collaborate closely with software engineers on the team to productionize your work, and with researchers and customers to shape what we build next.
Stay current with the rapidly evolving agentic and LLM landscape and bring promising techniques into our products with good engineering judgment.

As a member of our ML group, you will design, prototype, and ship agentic GenAI systems used by chip design engineers to accelerate their day-to-day workflows. We are looking for a machine learning engineer who is energized by taking LLMs from "promising demo" to "depended-on tool": designing the agent loops, retrieval pipelines, and evaluation frameworks that make this transition real. Success in this role means agents that meaningfully shift how our customer teams work, backed by measurements you trust.

You will join a growing team of ML and software engineers building GenAI solutions for chip design teams. In this role, you will:

Design and build agentic systems featuring multi-agent coordination, long-horizon reasoning, tool use, and planning frameworks.
Develop end-to-end solutions, including domain-specific agents and high-performance retrieval pipelines spanning diverse data sources.
Partner with subject-matter experts on the customer teams to translate their workflows and rules of thumb into concrete agent assignments, prompts, tools, and guidelines.
Build the evaluation backbone for our agents: define success measures, curate offline golden sets, and instrument online telemetry to power feedback loops that drive fast, safe iteration with real cost and quality control.
Drive prompt engineering, model selection, and lightweight model adaptation as the workloads demand.
Collaborate closely with software engineers on the team to productionize your work, and with researchers and customers to shape what we build next.
Stay current with the rapidly evolving agentic and LLM landscape and bring promising techniques into our products with good engineering judgment.

we are looking for a Field Service Engineer - Analytical Instruments.
As a Field Service Engineer, you will provide expert installation, maintenance, troubleshooting, and repair services for advanced analytical equipment.
Working with cutting-edge technology, you will deliver high-quality technical support while building strong relationships with customers across research institutions, universities, and industrial facilities.
You will diagnose and resolve complex technical issues, perform preventive maintenance, and provide user training to ensure optimal system performance and customer satisfaction.
This role offers excellent opportunities for professional growth and development within an organization dedicated to enabling our customers to make the world healthier, cleaner, and safer.
Key Responsibilities:
Install, maintain, troubleshoot, repair, and support analytical instruments, equipment, and associated systems.
Interact directly with customers and customer care representatives to coordinate and manage service activities and logistics.
Manage and complete assigned field service tasks independently and efficiently.
Diagnose technical issues using structured analytical troubleshooting and provide appropriate solutions and recommendations.
Perform preventive maintenance, corrective maintenance, system upgrades, and other technical service activities as required.
Ensure equipment is operating according to applicable specifications and customer requirements.
Ensure compliance with Scientific safety, quality, and regulatory standards.
Generate accurate, complete, and timely service documentation and reports.
Collaborate with customers to understand their technical and operational needs and provide appropriate service solutions.
Work closely with local and global technical support, application, commercial, and service teams as required.
Participate in work schedule and service planning with colleagues and management.
Identify potential customer needs and provide relevant sales leads and feedback to commercial and support teams.
Maintain and continuously develop technical knowledge of supported products, technologies, software, and related IT environments.
Participate in technical and product training as required to support current and future analytical instrument platforms.

As a member of our Physical Design group, you will take an integral part in bringing large scale SoCs to life, helping us deliver the next generation of our ground-breaking products.
You will own the physical design cycle at the partition/IP/Chip levels, including netlist to GDS implementation and verification.
Are you ready to join some of the world's leading engineers and work with state of the art design flows and process technology?
If you possess the knowledge and experience in any of the physical design domains and practices with track record of tape-outs in sub-micron technology, come join our group!


As a member of our Physical Design team in this highly visible role, you will directly own implementation and verification of design partition(s) / IPs (netlist to delivery of our final GDS) for a highly complex SoC utilizing state of the art process technology.
* Implementation - Block level PnR, floor-planning, clock, power planning and distribution.
* Verification and Analysis - Static Timing closure using commercial tools, Physical Verification as well as Electrical/Power Analysis (EM / IR-Drop / Xtalk / noise ).

As a member of our Physical Design group, you will take an integral part in bringing large scale SoCs to life, helping us deliver the next generation of our ground-breaking products.
You will own the physical design cycle at the partition/IP/Chip levels, including netlist to GDS implementation and verification.
Are you ready to join some of the world's leading engineers and work with state of the art design flows and process technology?
If you possess the knowledge and experience in any of the physical design domains and practices with track record of tape-outs in sub-micron technology, come join our group!

As a member of our Physical Design team in this highly visible role, you will directly own implementation and verification of design partition(s) / IPs (netlist to delivery of our final GDS) for a highly complex SoC utilizing state of the art process technology.
* Implementation - Block level PnR, floor-planning, clock, power planning and distribution.
* Verification and Analysis - Static Timing closure using commercial tools, Physical Verification as well as Electrical/Power Analysis (EM / IR-Drop / Xtalk / noise )

the company was founded by the team that invented one of the technologies at the heart of 5g. their next vision was to develop an iot sticker, a self-powered computing element that harvests radio frequency energy, bringing connectivity and intelligence to everyday products and packaging. this revolutionary combination of cloud and semiconductor technology is already being used by some of the worlds largest consumer, retail, food, and pharmaceutical companies to transform how products are made, distributed, sold, used, and recycled.
our investors include softbank, amazon, alibaba, verizon, ntt docomo, qualcomm, and pepsico.
were looking for a strong backend engineer to join us in building disruptive technology in the iot space. as part of our team, youll design and implement scalable management systems, solve complex problems, and shape the future of iot through innovative software solutions.