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Power the Future with us! At SolarEdge (NASDAQ: SEDG), we're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. SolarEdge offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. As a Senior Automation Developer, you will design and develop the automation infrastructure and testing environment for a wide range of SolarEdge devices and energy management systems. You will build robust, scalable test frameworks that validate complex HW/SW and firmware?driven products. In this role, you’ll work closely with firmware developers and multidisciplinary engineering teams , driving quality, reliability, and efficiency across cutting?edge renewable energy and power?management solutions. You will take ownership of lab automation, integrate advanced measurement tools, and ensure seamless execution of automated tests as part of the CI/CD pipeline—ultimately contributing to the validation of SolarEdge’s next?generation technologies.

Country:
Israel

City:
Herzliya

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 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 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 stack-from 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

We are seeking a researcher to join the LTX Model Applications team, focusing on advancing and extending the capabilities of our LTX-Video models. You will design and explore new use cases, train novel ways to control the generation process, and push the boundaries of generative video technology. Your work will directly influence millions of users through our apps and contribute to the broader research and open-source communities, shaping the next generation of creative tools.

What you will be doing
Advance and extend the capabilities of our LTX-Video models through new controls, features, and use cases.
Design and implement machine learning models for video, image, and audio generation, as well as multimodal applications.
Conduct experiments, prototype concepts, and validate ideas to expand generative video technology.
Collaborate with engineers, designers, and product managers to translate research into impactful product features.
Regularly open-source code, models, and research insights, contributing to the academic and open-source communities.
Stay at the forefront of generative AI research in video, image, and audio, and bring relevant advances into our products.
Write high-quality, efficient code and maintain best practices in research workflows.
Mentor other researchers and lead collaborative projects.

This role focuses on pioneering model architecture and pre-training algorithms, shaping the next generation of our foundational generative AI models.

What you will be doing
Pre-train and fine-tune video, audio, and image generative models to pursue state-of-the-art results.
Publish papers and open source models to benefit the research community and advance the field.
Design and implement machine learning models for text-to-audio and text-to-video generation.
Collaborate with data engineers to curate and preprocess text and video data.
Optimize models for high performance, ensuring efficient training and inference.
Build new controls and capabilities into generative text-to-audio and text-to-video models.
Stay updated with the latest developments in Generative AI, particularly in the fields of image, video, and audio.
Work closely with product teams to integrate AI models into applications and services.
Conduct experiments and prototype new concepts to advance the capabilities of our AI tools.

Were looking for a Senior Software Developer who combines strong technical skills with product intuition and a sense of ownership. Youll work across the stack - from infrastructure to backend services and intuitive UI/UX - building scalable, high-impact systems that shape how organizations secure their AI.
What youll do
Own and run major features and subsystems end-to-end - youll take ideas from concept to production and beyond (monitoring, iteration, refinement).
Work across the full stack: infrastructure, platform, backend services, APIs, and UI/UX. Youll be comfortable shifting between how do we deploy this reliably to how does the user experience this.
Drive team culture of ownership, craftsmanship, iteration and delivery: were not just about shipping features but owning the outcome, learning fast, and improving continuously.
Mentor and support other engineers: bring in the best practices of maintainability, scalability, reliability, and product thinking.

company description
we are the global leader in identity security. centered on privileged access management, we provide the most comprehensive security offering for any identity - human or machine - across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. the worlds leading organizations trust us to help secure their most critical assets. to learn more about us, visit our blogs or follow us on x, linkedin or facebook. job description
the role
we are seeking a senior platform engineer to join our platform team. you will be responsible for building the technical foundation that hundreds of developers will use daily.
your goal is to make kubernetes "invisible" for our developers. you will design and implement the automated machinery-the "paved road"-that enables application teams to move from code to production securely and reliably, without managing the underlying infrastructure themselves.
responsibilities
platform engineering & automation
internal Developer platform (idp): build and maintain our Developer portal, creating a unified "single pane of glass" for service catalogs, self-service actions, and scorecards. k8s core: design, implement, and maintain production-grade kubernetes clusters with a focus on multi-tenancy, security, and high availability. gitops mastery: implement and manage automated deployment workflows using gitops principles (argocd or flux). self-service apis: create abstractions (using tools like crossplane or custom cli tools) to simplify cloud resource provisioning and integrate them directly into idp. Developer experience (devex)
workflow optimization: analyze the Developer 's "inner and outer loops" to identify friction points and automate them away via the idp. standardization: create helm charts, ci/cd templates, and "gold path" configurations that embody best practices for security and observability. technical mentorship: act as a subject matter expert for r&d teams, providing guidance on containerization, microservices architecture, and cloud-native patterns. operational excellence
observability: build comprehensive monitoring and logging stacks (prometheus, grafana, opentelemetry) and surface these metrics within idp to give developers deep insights. security & compliance: implement automated policy enforcement (opa/kyverno) and ensure all platform components adhere to identity security standards. infrastructure as code: maintain 100% of the platform via iac tools like terraform/pulumi/opentofu etc. qualifications
technical

we are seeking for a highly motivated and experienced senior backend Developer to join our group.
as a senior Developer in our group, you will design and build our new high scale, complex, cutting-edge systems built in React & Python running over aws, full ci/cd using cdk. you will enjoy both infrastructure and applicative challenges.
practice all software development life cycle in agile oriented environment
design and implement the infrastructure of the system
research and implement sophisticated Cyber security mechanisms
explore new technologies and tools to keep us using cutting edge solutions
help guide and contribute to feature design and implementation to bring the product to the next level.
participate in continuous and iterative engineering cycles with emphasis on code quality, supportability, scalability and performance qualifications
loves technology and excited about learning new stuff
3+ years of experience in Python /go/node/ruby/ JAVA ( Python is a definite advantage)
desire to use new technologies and understand them in depth
passionate about code design, high-quality code, and code reviews, optimizing and challenging the status quo
proactive by nature, internal drive for excellence and improvement
good communication skills, fluent in english, good writing skills
at least 4 years of sw development experience
bachelors degree in Computer Science or engineering related field / technology elite unit alumni with relevant experience

looking for a senior software engineer to join our elite team which is responsible for building one of new saas products.
in this role you will be using aws serverless architecture, aws cdk & Python to design, develop, TEST, secure & deploy services from planning to production. you will practice all software development life cycle in an agile oriented environment while exploring new technologies and tools to keep us using cutting edge solutions.
the team works in full collaboration with security architects, product managers and other development teams.
we are looking forward for energetic and versatile person to join our family and help us achieving our goals.

company description
 a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere.
job description
we help protect the most critical assets of the worlds leading organizations. we are a global leader in identity security, providing cutting-edge security solutions for any identity - human or machine - across business applications, hybrid cloud workloads and throughout the DevOps lifecycle.
what will you do:
we are looking for an experienced software engineer for our new generation dv(digital vault) saas product.
we are looking for a senior software engineer to join our team. you will be responsible for building core saas offering products, built on-top of aws serverless stack, using Python, cdk and other cloud technologies.
you will work with smart (but humble) team members (developers, architects, DevOps, QA ), everyone working together to produce top-notch services at the highest standards - from planning to production.

a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere. 
job description:
we are seeking a senior software engineer with deep experience leading the design and delivery of scalable, production-grade systems. demonstrates strong technical ownership, sound architectural judgment, and the ability to drive complex features end-to-end. trusted to make high-impact decisions, mentor engineers, and raise engineering standards while consistently delivering reliable, secure, and maintainable solutions in cross-functional environments. what you need to succeed:
practice all software development life cycle in agile oriented environment.
design and implement the infrastructure of the system.
research and implement sophisticated Cyber security mechanisms.
explore new technologies and tools to keep us using cutting edge solutions.
help guide and contribute to feature design and implementation to bring the product to the next level.
participate in continuous and iterative engineering cycles with emphasis on code quality, supportability, scalability, and performance.

a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere.
job description:
as a senior Product Analyst , youll join the ai solutions group, contributing to the development of intelligent identity security capabilities. this role sits at the intersection of data, product, and ai - giving you the opportunity to apply analytical thinking and technical skills to help shape real-world solutions. youll work alongside senior analysts, data scientists, engineers, and product managers to explore data, derive insights, and contribute to productizing ai-driven features that improve the performance, usability, and intelligence of our offerings. analyze product usage and behavioral data to support the design and improvement of ai-powered features.
work closely with product managers and engineers to translate insights into productized solutions that enhance functionality and User Experience.
build and maintain dashboards, kpis, and reports that drive product decision-making.
contribute to the development and validation of success metrics for new capabilities.
collaborate with data scientists on experiments, a/b tests, and model monitoring efforts.
ensure data quality and support scalable pipelines by working with data engineering teams.
communicate findings through clear presentations and visualizations that influence roadmap decisions.
develop a deep understanding of product workflows and user behavior to guide analytical priorities.

a palo alto networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. ai-powered identity security platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. with identity security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, it, developers and machines, to securely access any resource, located anywhere, from everywhere. learn more. job description
we are looking for a senior ai software engineer to join our generative ai foundation team. we build ai agents and shared infrastructure that power genai capabilities across the company, enabling product lines to adopt agentic workflows safely, reliably, and at scale.
in this role, youll be involved in the full software lifecycle - from fast-moving prototypes and pocs to production-grade, observable systems. youll collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
youll work hands-on with leading llms and the modern agentic ecosystem, leveraging a wide range of aws services. youll use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve our solutions through solid design, flexible implementation, strong telemetry and evaluation, and production feedback loops