דרושים » חומרה » Staff Backend Engineer - ML Platform

our company, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, we are dedicated to bringing cutting-edge technology to the creative and business spaces.
Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms, including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetize their work and offers brands opportunities to scale their content through tailored creator partnerships.
What you will be doing
As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of our companys machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering our company's next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.
Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stackfrom Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads.

our company, an AI-first company, is revolutionizing how visual content is created. With a mission to bridge the gap between imagination and creation, we are dedicated to bringing cutting-edge technology to the creative and business spaces.
Our advanced AI photo and video generation models, including our open-source LTXV model, power our apps and platforms including Facetune, Photoleap, Videoleap, and LTX Studio, allowing creators and brands to leverage the latest research breakthroughs, offering endless control over their creative potential. Our influencer marketing platform, Popular Pays, provides creators the ability to monetize their work and offers brands opportunities to scale their content through tailored creator partnerships.
The Data Platform team powers our company's data-driven innovation by building cutting-edge systems that transform raw information into actionable insights. We create sophisticated solutions across the entire data stack, from intuitive self-service analytics and seamless media ingestion to lightning-fast event processing and sophisticated A/B testing frameworks. Our team operates at the intersection of big data and user experience, designing robust platforms that balance privacy protection with cost efficiency. Join us and help architect the infrastructure that fuels data-informed decisions and directly impacts product success.
What you will be doing
Build and own the infrastructure and services required for processing and storing data from a wide variety of sources, including mobile apps and internal/external data producers.
Design and build processes to integrate a wide range of edge systems across multiple cloud providers and handheld platforms reliably.
Assist data consumers across our company in defining requirements and refining existing processes using a wide variety of tools.
Define and own the systems and processes that deliver data to the data warehouse, while maintaining these systems and the warehouse itself.
Identify bottlenecks in internal data processes and resolve them by automating workflows, optimizing data delivery and storage, and redesigning infrastructure for greater scalability.
Integrate new tools and solutions to empower the companys data consumers and help assimilate them effectively.

We are At our company, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of Embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - were reshaping how financial technology is developed and delivered..
The Role:
We are looking for a backend engineer who can design, build, and operate highly reliable Node.js services on AWS that enable generativeAI capabilities across our products and internal workflows. You will create scalable APIs, data pipelines, and serverless architectures that integrate largelanguagemodel (LLM) services such as Amazon Bedrock, OpenAI, and opensource models, enabling teams to safely and efficiently leverage generative AI.
Who You Are:

* You have experience building RetrievalAugmented Generation (RAG) systems or knowledgebase chatbots.
* You're Handson with vector databases such as Pinecone, Chroma, or pgvector on Postgres/Aurora.
* Have AWS certification ( Developer, Solutions Architect, or Machine Learning Specialty).
* Experience with observability tooling (Datadog, New Relic) and costoptimization strategies for AI workloads.
* Background in microservices, domaindriven design, or eventsourcing patterns.
What Youll Actually Be Doing:

* Design and implement REST/GraphQL APIs in Node.js /TypeScript to serve generativeAI features such as chat, summarization, and content generation.
* Build and maintain AWSnative architectures using Lambda, API Gateway, ECS/Fargate, DynamoDB, S3, and Step Functions.
* Integrate and orchestrate LLM services (Amazon Bedrock, OpenAI, selfhosted models) and vector databases (Amazon Aurora pgvector, Pinecone, Chroma) to power RetrievalAugmented Generation (RAG) pipelines.
* Create secure, observable, and costefficient infrastructure as code (CDK/Terraform) and automate CI/CD with GitHub Actions or AWS CodePipeline.
* Implement monitoring, tracing, and logging (CloudWatch, XRay, OpenTelemetry) to track latency, cost, and output quality of AI endpoints.
* Collaborate with ML engineers, product managers, and frontend teams in agile sprints; participate in design reviews and knowledgesharing sessions.
* Establish best practices for prompt engineering, model evaluation, and data governance to ensure responsible AI usage.

Why Youll Love Working Here:
Were a collaborative, humble, and fast-paced team that takes pride in building real solutions to real problems. Youll work on meaningful products that empower businesses and people, alongside curious, supportive teammates who are always up for a challenge. Innovation and ownership are part of our DNAand were just getting started.
Next Step:
Hit Apply. Bring your AI vibes. Well bring the challenge - and the snacks.

We are At Cross River, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - we’re reshaping how financial technology is developed and delivered. .

The Role:
We’re seeking a Senior Application Security Engineer to be the go-to security expert for our software and blockchain engineering teams. In this high-impact role, you’ll embed security across the entire SDLC - from CI/CD pipelines to smart contracts—helping us build secure-by-design systems that power the future of fintech and digital assets. You’ll lead threat modeling, drive secure development practices, and automate guardrails that make security effortless for developers. As part of a collaborative security team, you’ll influence architecture, compliance, and innovation while protecting millions of users and billions in assets.

Who You Are:

* A proactive self-starter with deep expertise in application and cloud security
* Passionate about secure development and enabling engineers through thoughtful guardrails
* Clear and confident communicator who can influence across technical and non-technical teams
* Curious about emerging threats and excited by the challenges of blockchain security
* Committed to excellence, with a strong sense of ownership and a drive to build secure systems that scale

What You’ll Actually Be Doing:

* Integrate security tools (SAST, DAST, SCA, secret scanning) into CI/CD pipelines using GitHub Actions, Jenkins, and related DevOps tooling
* Lead threat modeling and secure architecture reviews for new features, APIs, and blockchain systems
* Conduct smart contract security reviews and advise on cryptographic and wallet security patterns
* Coordinate penetration tests, manage bug bounty reports, and track remediation through development teams
* Build reusable security components, libraries, and developer-friendly guardrails
* Deliver internal training, build a security champion network, and drive adoption of AppSec best practices
* Produce security metrics, documentation, and audit evidence to support FFIEC, PCI DSS, SOC 2 compliance
* Stay current on evolving threats in blockchain, DeFi, GenAI, and supply-chain ecosystems

Why You’ll Love Working Here:
You’ll help secure some of the most innovative products in fintech and crypto - while collaborating with brilliant, supportive teammates who care deeply about doing things the right way. Our security culture is proactive, collaborative, and continuously improving. You’ll have the autonomy to lead impactful initiatives, influence design from day one, and grow alongside a team that’s invested in modern tooling and professional development.

Next Step:
Hit Apply. Bring your AppSec mastery abilities. We’ll bring the challenge – and the snacks.

Who We Are At Cross River, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - we’re reshaping how financial technology is developed and delivered.

The Role:
As a Software Engineer, you’ll design, develop, and deploy robust software systems across our platform. You’ll have ownership of end-to-end projects, the autonomy to lead from idea to implementation, and the opportunity to work across product lines - from scalable APIs and secure infrastructure to machine learning. The role also brings unique engineering challenges shaped by regulatory and compliance requirements - pushing your creativity and technical capabilities.

Who You Are:

* A product-minded engineer who loves solving problems at scale
* Comfortable owning full systems - from architecture to deployment
* Passionate about writing clean, maintainable code with an eye on the end user
* A collaborative team player who mentors generously and learns continuously
* Curious, thoughtful, and excited by a fast-moving environment

What You’ll Actually Be Doing:

* Design, build, test, and deploy backend systems for high-scale financial applications
* Lead architecture reviews and drive decisions across technologies and platforms
* Write well-tested code and review peers’ work for quality and clarity
* Collaborate with Product, DevOps, and Security teams to deliver seamless experiences
* Own and improve development lifecycles including CI/CD, observability, and cloud automation
* Debug production issues and lead efforts to ensure system reliability and uptime
* Contribute to internal documentation and onboarding processes
* Participate in a Tier 2/3 on-call rotation to support business-critical systems

Why You’ll Love Working Here:
You’ll be part of a supportive, down-to-earth team that values collaboration, curiosity, and initiative. We foster a culture where engineers have real ownership and learning never stops. You’ll work on high-scale systems using cutting-edge tech, solving meaningful problems that power the future of fintech. Whether it’s building secure infrastructure, launching new products, or optimizing performance, you’ll see your impact every day.

Next Step:
Hit apply. You bring the talent; we’ll bring the challenge (and the snacks!)

Our ideal candidate is someone with a systematic problem-solving approach, coupled with strong communication skills, a sense of ownership and drive. Someone who is as passionate as we are about the craft of software engineering and system architecture, and understands the challenges of building complex backend systems. Someone who believes in writing resilient code and reliable infrastructure, but can still appreciate the realities of business and can deliver on a tight schedule in a fast-paced environment. An individual who loves learning, understands the value of teamwork and cherishes the feedback of other talented engineers.
What you will be doing
Lead a team of 68 engineers, providing mentorship, guidance, and support in their professional development and daily work.
Take ownership of the teams delivery and execution, from planning and prioritization to quality and production stability.
Remain hands-on and contribute to the codebase when needed, especially in complex or high-impact areas.
Design highly available, mission-critical microservices and APIs.
Architect and implement scalable data pipelines that integrate with multiple internal and external data sources.
Drive the development of internal tools, campaign automation systems, dashboards, and reports to empower end users.
Promote and implement engineering best practices for code quality, testing, observability, and deployment.
Collaborate closely with relevant stakeholders to shape solutions from idea to delivery.

We are looking for an Integration and CI Engineer to help shape the future of autonomous driving. Join our dynamic team of talented engineers responsible for delivering cutting-edge Autonomous Vehicle (AV) applications, advanced control systems, and simulation environments that drive our groundbreaking L2+ to L4 autonomous platforms.
What will your job look like?
Manage version releases and ensure timely delivery of AV products to stakeholders
Utilize Git and GitLab for version control to manage and track changes in the software development lifecycle
Collaborate with developers to integrate software components into a cohesive whole
Analyze source code and test scenarios to identify, prioritize, and resolve integration issues
Debug issues in the production platforms, which may involve multiple domains
Build robust CI solutions utilizing Git, GitLab, Python, Shell scripting, Jenkins, and Docker
Develop and maintain scripts and pipelines for diverse development and validation teams
Contribute to the enhancement and development of our AV infrastructure and core code.

Required Experienced C++ Software Developer
Join our Autonomous Vehicle group as a Software Engineer and be part of revolutionizing the way vehicles operate, from accident prevention to fully autonomous driving.
This role may offer a flexible work arrangement with 2 days in Tel Aviv/Ramat Gan and 2 days in Jerusalem.
What will your job look like?
Development of the AV Applications (add new features, improve the design, literature review as needed, etc.)
Maintenance of the AV Applications (address bugs and issues for internal and external customers)
Development and automation of the surrounding tools.