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Required Backend Engineer
The pioneer in AI-powered sports content technology, empowers their clients world-wide to connect with their fans through AI-tailored sports content experiences. Our platform automates the creation, management and distribution of content, enabling sports rights holders to expand reach, grow fan bases, and unlock revenue opportunities across digital platforms.
Why us
innovative people in the industry, using cutting-edge technologies and tools (video editing, Gen AI, data, etc.). You have the opportunity to directly influence the products and tools used by our clients, including sports giants such as the NBA, Bundesliga, LaLiga, ESPN - and thats just the beginning of what we have to offer! Join us and be a part of the best team in tech as we Fuel the Fandom worldwide.
Youll be an integral part of building and scaling our cloud-native OTT streaming platform - powering live sports broadcasting, VOD transcoding, channel monetization, and subscription billing for customers worldwide.
What youll do:
Lead the development and delivery of backend services and APIs using Node.js, TypeScript, and NestJS, deployed on AWS ECS and Lambda.
Architect and maintain scalable microservices that handle live streaming workflows (AWS MediaLive, MediaConnect, MediaConvert), real-time event processing, and high-throughput API delivery.
Own and evolve the platforms monetization layer - Stripe billing integration, subscription management, payment webhooks, ad-serving pipelines (Google IMA), and paywall logic across channels.
Set high coding standards and ensure best practices are followed across the backend team.
Collaborate closely with frontend developers, DevOps, QA, designers, and product managers to deliver seamless end-to-end experiences.

We are looking for a Developer Relations Manager to spearhead the growth of SMART - our high-performance LiDAR platform for all non-automotive sectors, including Defense, ITS, and industrial applications.
This is a foundational, "hands-on" role for a builder who thrives at the intersection of developer relations, technical support, and business development.
You will be responsible for building an international developer ecosystem from the ground up, ensuring that integrators and partners have the tools, code, and support they need to succeed with technology.
What you'll do:
Community Architecture: Design and build a global developer community from scratch, establishing the strategy and infrastructure for long-term engagement.
Ecosystem Management: Own and moderate our developer platforms, including GitHub (code samples/APIs), Discord (real-time community), Discourse (technical forum), and GitBook/Docusaurus (documentation and knowledge base).
Technical Support & Integration: Provide first-line technical guidance to developers, assisting with LiDAR integrations and troubleshooting complex technical hurdles.
"Light" Technical Sales: Act as the primary point of contact for smaller customers and partners; identify "high-potential" opportunities within the community to escalate for further business development.
Content Creation: Collaborate with Marketing to produce high-quality technical content, including webinars, tutorials, API documentation, and technical blog posts.
Events & Advocacy: Organize and lead technical meetups, developer workshops, and webinars to drive adoption of the SMART platform.
Market Intelligence: Conduct competitive analysis and monitor industry trends in the non-automotive sensor and autonomous systems sectors.

We are looking for a C++ Software Engineer to join our team and work on high-performance, scalable systems in a Linux environment. The role combines hands-on development (including C++), system design, and performance optimization, with exposure to modern distributed and microservices architectures. While strong C++ experience is required, the position is not limited to a single language and involves a broader system-level perspective.
Responsibilities
Develop high-performance systems in C++ on Linux, ensuring scalability and reliability.
Design software solutions using design patterns to enhance maintainability and efficiency.
Collaborate with cross-functional teams to align software design with business objectives.
Troubleshoot and optimize systems for improved performance, scalability and reliability.
Contribute to real-time systems, ensuring low-latency performance.
Implement multithreading and multiprocessing for optimal resource utilization.
Ensure code quality through peer reviews, unit testing and continuous integration.
Contribute to architectural discussions and long-term technology roadmaps

required Infrastructure Lead
Responsibilities
Act as a feature owner, driving the design, development, and delivery of key components in RADCOMs high-performance monitoring system.
Take technical ownership of major projects, ensuring high-quality architecture, performance, and scalability.
Design and implement efficient algorithms and data structures to optimize system functionality.
Identify system bottlenecks and implement optimizations for high-speed performance in a multi-threaded, real-time environment.
Oversee the full software development lifecycle, from architecture and design to deployment and production support.
Work closely with cross-functional teams (Product, DevOps, QA, R&D) to define technical requirements and align on project goals.
Conduct code reviews, enforce best practices, and drive technical improvements across the codebase.
Stay up-to-date with emerging technologies, evaluating their potential impact on system performance and scalability.

We are looking for a Field Application Team Leader for our Application Engineering group. In this pivotal role, you will lead a high-performing technical team based in both Israel and North America. You will be the technical authority bridging the gap between our cutting-edge LiDAR technology and our global customers in the automotive, robotaxi, and smart infrastructure sectors.
As a Team Leader, you will ensure your team successfully performs demos and integrates our products into customer platforms, unblocks technical bottlenecks, and provides the feedback loop necessary for our R&D teams in Israel to maintain our market leadership.
What you'll do:
Team Leadership: Manage and mentor a global team of Application Engineers (IL & US). Define KPIs, oversee professional growth, and ensure seamless collaboration across time zones
Technical Strategy: Define the best practices for product demonstrations, field testing, and customer integration workflows
Bridge to R&D: Act as the primary technical interface between the field (North America) and HQ (Israel) product, engineering, and validation teams
Customer Excellence: Oversee high-stakes technical engagements with automotive OEMs and robotaxi providers, ensuring top-tier support and rapid issue resolution
Resource Management: Prioritize team tasks to support both existing customer maintenance and new business opportunities (Sales support)
Hands-on Oversight: Jump into complex technical "firefighting" when necessary, providing expert guidance on HW/SW troubleshooting and system integration

We are looking for a Big Data Software Engineer to join our growing team. In this role, you will be responsible to design and development of our big data processing engine.
Responsibilities
Design and development of high-quality big data processing engineer
Identify and proactively address potential product risks and challenges and ensuring success
Work closely with stakeholders to transform requirements into technical specifications
Ensure that the code is consistent with industry coding standards and best practices
Take a deep dive into the technical details and provide expert advice and solutions

We are looking for an experienced and talented Technical Project Manager with high technical capabilities to join the team.
What you'll do:
Lead the HW development stream of Innovizs products.
Act as a technical project manager and work in a matrix style with all RnD professional disciplines.
Work with multiple teams and disciplines in the RnD and Operations departments and responsible for being the connecting link between the different groups, Opto-mechanics, HW, System architecture, SW, and more.
You will have an end-to-end project management responsibility for the HW deliveries during the project.
As part of the HW deliveries, the technical project manager is responsible for the full design cycle of the HW, from the product and system requirements closure, HW design of the full system (optomechanical and electrical) and releasing all parts to production to full HW integration and bring up. HW deliveries are followed by a full validation phase including HW failure analysis and all according to customers' schedules and delivery plans.
Be responsible for following the design for manufacturing (DFM) practices and working tightly with NPI and production teams.
Be the point of contact (POC) in front of the customer on all HW-related topics, managing and monitoring the day-to-day activities according to the delivery and project plan and according to the companys targets.

We are looking for a motivated and experienced Machine Learning Platform Engineer to join our dynamic team.

In this role, you will collaborate closely with data scientists and DevOps professionals to design and build the infrastructure, ecosystem libraries, and pipelines that power our data science initiatives. You will take ownership of model development, monitoring, and maintenance, working hand-in-hand with data scientists on a daily basis.

If youre passionate about AI, machine learning, and writing high-quality code-and are eager to contribute to innovative, impactful do good projects in the digital health space-wed love to hear from you!

What you'll be doing:
Design, develop, and maintain our machine learning ecosystem libraries.
Build and manage data science code, Docker images, and Kubeflow Pipelines (KFP).
Create and maintain CI scripts to ensure seamless integration and delivery.
Conduct thorough code reviews to uphold high-quality standards.
Collaborate closely with data scientists, understanding and addressing their evolving needs.
Work alongside software developers to seamlessly integrate machine learning models into production systems.
Stay current with the latest advancements in machine learning, leveraging innovative techniques to enhance the companys products and services.