דרושים » הנדסה » Firmware Developer Computer Vision & AI

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.

The Core Generative AI team at our company Research is a unified group of researchers and engineers dedicated to developing our generative foundational models that serve LTX Studio, our AI-based video creation platform. Our focus is on creating a controllable, cutting-edge video generative model by merging cutting-edge algorithms with exceptional engineering. This involves enhancing machine learning components within our sophisticated internal training framework, crucial for developing advanced models. We specialize in both research and engineering that enable efficient and scalable training and inference, allowing us to deliver state-of-the-art AI-generated video models.
As a Large Scale Training Engineer, you will play a key role in enhancing the training throughput of our internal framework and enabling researchers to pioneer new model concepts. This role demands excellent engineering skills for designing, implementing, and optimizing cutting-edge AI models, alongside writing robust machine learning code and deeply understanding supercomputer performance. Your expertise in performance optimization, understanding distributed systems, and bug elimination will be crucial, as our framework supports extensive computations across numerous virtual machines.
This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research.
Key Responsibilities
Profile and optimize the training process to ensure efficiency and effectiveness, including optimizing multimodal data pipelines and data storage methods.
Develop high-performance TPU/CPU kernels and integrate advanced techniques into our training framework to maximize hardware efficiency.
Utilize knowledge of hardware features to make aggressive optimizations and advise on hardware/software co-designs.
Collaboratively develop model architectures with researchers that facilitate efficient training and inference.

You will be part of our company's REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, which is a key technology in our company's autonomous driving and high-end Driving Assistance systems. This process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and as such is a complex system that requires a deep understanding of our map creation process as well as advanced technical abilities. You will be part of our algorithmic teams, being a key team member and owner of development processes.
What will your job look like?
Write clean, modular, and maintainable code in Python to implement algorithms efficiently.
Design and optimize data structures to support algorithmic solutions, ensuring scalability and performance.
Work closely with cross-functional teams.
Write efficient, reliable, and maintainable code to implement algorithms, ensuring high performance and scalability. Debug and troubleshoot software issues as needed.
Contribute to the design and architecture of software systems, ensuring that algorithmic components integrate seamlessly.
Analyze and optimize algorithms for speed, memory usage, and efficiency. Implement parallel processing and optimization techniques to enhance algorithm performance.

You will be part of the company's Autonomous Vehicle projects which is responsible for delivering high-quality AV (Autonomous Vehicles Systems) products. The Product Validation department is developing a modular CI process to support a complex variety of car models. We are precepting the complex system as a whole and are the first point of contact between the software to the hardware. As an infrastructure developer, you will be interacting with the team members as well as with most of our company's departments, to develop state-of-the-art software infrastructure based on a thorough understanding of product behavior.
What your job will look like?
Be a part of the automation and CI infrastructure team.
Develop a software infrastructure to allow the development of automated tests for the autonomous vehicle lab.
Work on a variety of aspects of the autonomous vehicle.
Work in a multi-tasked, dynamic, and diversified environment.
Have responsibility and impact over the autonomous vehicle.
Work closely with other development and validation team members.
Improve and maintain the CI/CD infrastructure.

The EyeQ SoC Performance Modeling and Profiling team is part of the EyeQ Platform Group (EPG), working on both current and next-generation designs for ADAS (Advanced Driver-Assistance Systems) and Autonomous Vehicles (AV). Performance models and profiling tools are essential components of the EPG infrastructure they are used during the hardware architecture definition phase of the EyeQ chip and by software developers to optimize performance.
What will your job look like:
You will be part of team that develops EyeQ SoC Performance Modeling environment and emulators
You will work on SOC performance analysis and optimizations.
You will be running HW benchmarks, to measure HW performance and to calibrate the simulation environment to match the performance of the silicon board.
You will be working on HW performance analysis and tuning, and influence future our company EyeQ SoC design.
You will have the opportunity to work on open-source simulation and profiling tools and adopt them to our company's needs.
You will work closely with HW architects and SW/Algorithms developers.

we are looking for a Embedded SW Engineer for Performance Modeling. You will be part of EyeQ SoC Performance Modeling and Profiling team in EyeQ Platform Group (EPG), working on current and next-generation designs for ADAS/AV. Performance models and profiling tools are fundamental parts of the EPG infrastructure, they are used during EyeQ HW architecture definition phase and by SW developers for performance optimizations.
What will your job look like:
You will work on CPU functional and timing models of our company's SoC platforms.
You will work on developing tracing and profiling tools for CPU performance analysis and optimizations.
You will run HW benchmarks to test HW performance and calibrate the simulation performance with the silicon board.
You will have the opportunity to work on open-source simulation and profiling tools and adopt them to our company's needs.
You will work closely with HW architects and SW/OS/Algorithms developers.

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!)

Join our company's 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.

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:
We’re looking for a skilled and curious Back End Developer to join our growing engineering team. In this role, you'll architect and build reliable, scalable services that power mission-critical fintech products - from payments and lending to compliance and blockchain. You'll collaborate closely with product, DevOps, and front-end engineers to design robust APIs, implement clean data flows, and solve complex performance challenges. Your work will shape how money moves securely across our infrastructure and directly support millions of users. This is a great opportunity to drive meaningful impact while learning and growing within a highly supportive and technical team.

Who You Are:

* A thoughtful engineer who balances technical excellence with product impact
* Comfortable across the full stack, with strong backend expertise and frontend awareness
* Detail-oriented and passionate about clean, scalable, and well-tested code
* Excited to collaborate and share your knowledge across teams
* Motivated by ownership, mentoring others, and building features that users love

What You’ll Actually Be Doing:

* Design, develop, and deliver scalable software modules and components
* Build backend systems using .NET, DotNet 6.0, SQL Server, RabbitMQ, Docker and AWS
* Plan, triage, and prioritize work across multiple priorities
* Share your knowledge with teammates and help mentor and guide partners

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 Beck End abilities. we’ll bring the challenge (and the snacks!)

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 platforms, Popular Pays and Content Lab, provide influencers with the ability to scale their content and monetize their work, while offering brands opportunities to expand their reach through tailored creator partnerships.
Our ML Platform team is responsible for building our companys ML serving platform, which hosts all of the companys ML and Gen AI models. Our goal is to create streamlined processes to bring functional research code and AI models to production grade systems, where millions of our apps users enjoy this magic.
Your day-to-day job will involve
Lead the design and evolution of our ML Platform, partnering closely with DevOps, research, and product engineering teams to ensure it meets the current and future needs of our company.
Architect and implement reliable, scalable, and high-performance services that power the ML and GenAI experiences across our suite of products.
Drive technical strategy and roadmap for the platform, identifying opportunities for innovation, optimization, and automation.
Collaborate across teams to define platform capabilities and influence infrastructure direction based on product and organizational goals.
Mentor and guide engineers in the team, promoting a culture of technical excellence through code reviews, design discussions, and knowledge sharing.
Serve as a key technical leader in cross-functional initiatives, helping align teams on architecture, best practices, and long-term vision.