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Join our company to be a part of something meaningful. We are transforming transportation worldwide, helping cities become smarter, greener, and more connected. From redefining daily commutes to tackling humanitys environmental challenges, our vision is bold - and we need exceptional minds like yours to make it happen.
As a Senior Backend Engineer at our company, youll be a vital part of our TLV-based R&D team. Together, we design, build, and scale cutting-edge backend systems that power our global operations. Youll thrive in a culture that blends innovation, collaboration, and agility, where your work will directly impact the lives of countless individuals and transform how communities move.
What Youll Do:
Architect, build, and scale robust and modern microservices - from initial design through deployment to production.
Own features end-to-end: from concept through development, testing, deployment, and maintenance - with a strong sense of accountability.
Lead system design decisions, define service boundaries, and help shape scalable architecture for global usage.
Write production-grade, efficient code that emphasizes performance, reliability, and maintainability.
Collaborate cross-functionally with engineering, product, and design to drive features that deliver real value to users.
Stay ahead of the curve by constantly evaluating and integrating emerging technologies and development practices.
Promote engineering excellence: code reviews, mentorship, clean code principles, and advocating for best practices across the board.
Mentor junior engineers and contribute to growing team expertise through knowledge-sharing and technical leadership.

We are looking for a Hardware Team Lead to own our electrical hardware from the first rough prototype all the way to a product that holds up in the field. You will lead a team of hardware engineers who work across most of what we build: board design and hands-on investigation, ultra-sensitive sensors, power circuits for our transmitters, RF and noise-sensitive systems, high-speed digital and communication, ADCs, DACs, and more.
We move fast, and that is a big part of the fun here. Quick prototypes and rough bring-ups are how we learn. Your job is to keep that speed, but make sure that when something proves itself it stops being a prototype and becomes real engineered hardware: reviewed, testable, documented, and built to be manufactured. You set the engineering bar, make the calls on design, and own the work we send to external design houses and suppliers, so that outsourced never means unowned.

Were looking for a a senior backend engineer with 6+ years of experience, playing a key role in building impactful, user-centric products from the ground up. As part of the companys early engineering team, youll help shape both the product and the engineering culture, own backend architecture, lead end-to-end feature development, and drive technical excellence while collaborating closely with product, design, and infrastructure in a fast-growing environment.
What Youll Do:
Be one of our first 10 engineers, shaping both our product and our engineering culture.
Define and evolve the backend architecture, infrastructure and development best practices for a fast-growing team.
Own features end-to-end - from concept and design discussions to implementation, deployment and observability.
Solve complex challenges in distributed systems, event-driven architectures and real-time data pipelines.
Continuously improve developer workflows - identify friction, integrate new tools, automate repetitive tasks and champion engineering excellence.
Lead and mentor a small team of engineers: drive planning, break down work, ensure quality delivery and help hire exceptional talent.
Collaborate with experienced peers - engineers, PMs and designers - whove built large-scale systems at top-tier companies.
Here are some of the technologies we work with: Golang, Python, Protobuf, React, Typescript, Kafka, Postgresql, Redis, Kubernetes, Terraform and AWS

Design high-performance analog and RF ICs optimized for precision, power, and area, driving prototype and product iterations from architecture to silicon validation.

Responsibilities
Design and simulate analog and RF integrated circuits, including critical blocks such as amplifiers, mixers, PLLs, ADCs, DACs, and bias/reference circuits, with a focus on signal integrity, linearity, and precision.

Optimize circuits for power, area, and performance trade-offs, ensuring designs meet system-level requirements across process, voltage, and temperature (PVT) variations.

Collaborate closely with optics, simulation and PCB teams to define architecture and block-level specifications for successive prototypes and product iterations, ensuring tight alignment with overall performance and integration goals.

Work with layout engineers to guide floor-planning and physical design, minimizing parasitic effects and preserving analog precision in layout-sensitive blocks.

Support post-silicon validation and bring-up, defining test plans, analyzing lab measurements, and correlating results with simulation to refine future design iterations.

Language: English at a proficient level. French is a plus.

As a Digital Backend Design Engineer, you will be responsible for the physical implementation of digital designs from RTL to GDSII, leveraging cutting-edge EDA tools and methodologies. You will collaborate closely with RTL design, DFT, and packaging teams to achieve optimal performance, power, and area (PPA), while meeting stringent timing and yield targets.

Responsibilities
Execute full-chip and block-level physical design tasks including floorplanning, placement, clock tree synthesis, routing, and physical verification.

Develop and optimize the digital backend flow.

Drive timing closure, power optimization, and physical verification (LVS/DRC/ERC).

Collaborate with front-end designers to address timing and logical/physical interface issues.

Support tapeout preparation and final signoff processes.

Play a critical role in ensuring the functional integrity, performance, and reliability of next-generation optical chips.

Responsibilities
Develop robust verification plans for complex digital and mixed-signal optical chip designs.

Collaborate closely with architects, designers, and customers to understand logic requirements, translate them into verification strategies, and deliver clear, actionable feedback throughout the development process.

Perform netlist-level simulations with SDF back-annotation for timing-accurate verification

Support FPGA/ASIC bring-up and post-silicon validation as needed

Develop, maintain, and optimize testbenches and verification components using advanced SystemVerilog features, such as constrained random testing, assertions, and transaction-level modeling, to create robust coverage-driven environments.

Design scalable, reusable UVM-based environments and components (e.g., agents, monitors, scoreboards) for block- and system-level verification. Employ UVM to achieve regression automation, functional coverage closure, and high bug-detection efficiency.

Develop and execute verification strategies for digital blocks implementing or interfacing with PCI Express (PCIe). Apply protocol-checking, compliance validation, error injection, and debug skills for PCIe endpoints and root complex devices. Use protocol analyzers and simulation environments to validate correct implementation across all protocol layers.

Participate in the verification of RISC-V CPU cores and subsystems. Create test plans targeting processor modules (ALU, decoder, register file, control logic), with reference model comparisons, signature checks, and coverage of edge-case scenarios. Leverage formal verification and compliance suites for thorough design validation.

Plan and perform end-to-end ASIC verification, from block-level testbenches to full-chip integration. Execute functional and regression tests, formal verification, and coverage analysis. Debug and resolve design issues, ensuring pre-silicon reliability before manufacturing. Engage in design reviews and system-level protocol validation with cross-functional teams.

Do you thrive on solving complex problems and want to make a real impact?
we are looking for a Backend Java engineer responsible for managing the interchange of data between the server and the users. In this senior role, you will play a pivotal role in our optimization engine, driving the core routing intelligence of our platform.
If you like a good challenge and are looking for a place to grow professionally, we are the place for you! Join the amazing process of developing a robust and scalable solution for the last mile and on-demand world.
Responsibilities
Optimization Engine Leader: Serve as a central pillar for our optimization engine, collaborating closely with the product team to shape the journey from client requirements to server-side reality.
Architecture Ownership: Lead and maneuver the optimization engine architecture to ensure maximum efficiency and scalability.
Complex Problem Solving: Solve complex puzzles by investigating discrepancies between system design and real-world results, proving hypotheses, and taking actionable steps to resolve them.
Backend Development: Define and maintain the server end-to-end flow, develop server-side logic, and ensure high performance, scalability, maintainability, and responsiveness to frontend requests.

We're looking for a Backend Engineer to help build and scale the Machine Learning Platform that powers how our company uses AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units
Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management
Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring
Evaluate and choose the right tools and technologies based on workload demands and performance requirements
Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals
Identify and fix reliability, scalability, and performance gaps before they become problems.

Were looking for a senior-level backend engineer to join our growing Engineering team in TLV.
This role will require you to bring features to the finish line while collaborating closely with other developers, as well as with the Product, QA, Data, and Machine Learning teams-all with the goal of delivering a seamless, joyful experience for our customers.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role youll:
Help build our products using microservices written in Typescript (using NestJS).
Leverage our in-house autonomous tools to manage all development flow, from setting up our development environment to creating git branches and deploying services to production
Collaborate closely with the Product team, in a self-sufficient squad to achieve the squads OKRs
Be the owner of your domain to ensure code quality, performance, and scalability of our products
Coach and mentor other developers and help them elevate their skills.

Anyone can ship an AI agent. Shipping one thats right ~98% of the time, with no human checking its work, takes different engineering. Thats what this team builds.
We're looking for a Senior Backend Engineer to help push our AI customer-service agents closer to fully autonomous insurance service. You'd be joining the team behind the agent that talks to real customers every day over email, phone, chat, and SMS - handling policy questions, claims conversations, and verified documents end-to-end, with no human in the loop. This isn't a demo or a copilot. Real customers, real money, real stakes, every day.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Design, build, and own production LLM agent systems end-to-end - deciding how the agent thinks, what it's allowed to do, and how it fails safely
Work on our real-time voice agent, where the hard problems are conversational: interruptions, mid-sentence tool calls, and keeping response times imperceptibly fast
Shape the next generation of our knowledge base - how the agent's knowledge is structured, curated, and served, so answers stay grounded as coverage grows
Ship changes as controlled experiments, measure them against thousands of replayed real conversations on our in-house eval platform, and graduate winners into production
Track cost per conversation across millions of LLM calls and find the wins that cut spend without cutting quality
Own what the model knows and says - the customer context it sees, the limits on what it may reveal, and the guardrails against confident nonsense
Build and operate scalable backend services in TypeScript/Node on Kubernetes/AWS with deep observability - if you ship it, you own it.

We're looking for a Senior Backend Engineer to help build and scale the Machine Learning Platform that powers how our company uses AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units
Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management
Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring
Evaluate and choose the right tools and technologies based on workload demands and performance requirements
Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals
Identify and fix reliability, scalability, and performance gaps before they become problems.

We're looking for a Senior Backend Engineer to help build and scale the Machine Learning Platform that powers how our company uses AI across the business. You'll be part of the ML Platform team, designing the infrastructure that lets our data scientists move faster, ship smarter, and operate with confidence in production.
We believe three things matter for every role at our company: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work. Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll
Design and build the foundational ML platform and AI agents to accelerate data science model delivery across all business units
Architect cloud-native microservices running on Kubernetes, using infrastructure-as-code to automate model deployment and management
Own the end-to-end ML lifecycle, covering training, testing, deployment, and real-time monitoring
Evaluate and choose the right tools and technologies based on workload demands and performance requirements
Collaborate with engineering, data science, and product teams to keep ML projects aligned with business goals
Identify and fix reliability, scalability, and performance gaps before they become problems.

As a Senior Backend Engineer, you'll dive into complex technical challenges, craft innovative solutions, and play a pivotal role in our mission to revolutionize the way companies understand their customer interactions. We're seeking a Java professional who can leverage their deep knowledge to drive our backend development to new heights.
Youll Own:
System Architecture: Leading the design and implementation of complex, scalable, and high-performance backend services and APIs.
Feature Lifecycle: Taking end-to-end ownership of major product initiatives, from initial design to coordinating delivery across Backend, Frontend, and Product teams.
Engineering Standards: Establishing and driving team-level best practices for code quality, testing strategies, and CI/CD processes.
Youll Solve:
Technical Complexity: Analyzing and debugging intricate challenges across the stack to ensure long-term system reliability.
Cross-Functional Friction: Managing risks and coordinating dependencies between multiple teams to ensure seamless feature delivery.
Scalability Bottlenecks: Implementing preventive measures and high-performance solutions to keep services running smoothly under load.
Youll Impact:
System Integrity: Building the foundation for high-performance services that directly affect the stability and speed of the entire product.
Operational Excellence: Elevating the team's technical bar through the implementation of robust CI/CD and quality processes.
Strategic Delivery: Shaping how major initiatives are executed, ensuring technical excellence is balanced with business milestones.

As a Senior Backend Engineer, you'll dive into complex technical challenges, craft innovative solutions, and play a pivotal role in our mission to revolutionize how companies understand their customer interactions. We're seeking a strong Python developer who can leverage deep technical knowledge to drive our backend development to new heights.
Youll Own:
System Architecture: Leading the design and implementation of complex, scalable, and high-performance backend services and APIs.
Feature Lifecycle: Taking end-to-end ownership of major product initiatives, from initial design to coordinating delivery across Backend, Frontend, and Product teams.
Engineering Standards: Establishing and driving team-level best practices for code quality, testing strategies, and CI/CD processes.
Youll Solve:
Technical Complexity: Analyzing and debugging intricate challenges across the stack to ensure long-term system reliability.
Cross-Functional Friction: Managing risks and coordinating dependencies between multiple teams to ensure seamless feature delivery.
Scalability Bottlenecks: Implementing preventive measures and high-performance solutions to keep services running smoothly under load.
Youll Impact:
Data Architecture: Architecting systems that handle massive amounts of external data, ensuring high availability and accuracy across diverse APIs and sources.
our companys Evolution: Building the foundation of a new core product that directly influences how sales and marketing teams identify and reach their next customers.
Strategic Delivery: Shaping how major initiatives are executed, ensuring technical excellence is balanced with business milestones.