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We are looking for an exceptional Graduate Software Engineer to join our founding R&D team. This is a rare opportunity for a talented individual with zero professional experience to start their career in a high-growth startup environment.
You will be working with veteran engineers to build the infrastructure that secures the next generation of AI agents. We are looking for the engineers of tomorrow-those who have the theoretical depth to understand complex systems and the drive to learn a massive, cutting-edge tech stack from scratch.
What Youll Do:
Deep-dive into our tech stack (Python, Go, React, Spark, K8s) through hands-on tasks and self-learning.
Take responsibility for sub-features and components, moving from development to production deployment on AWS.
Learn to work with massive data scales, helping to optimize our pipelines using Spark and Clickhouse.
Learn the Wing Way of engineering-writing clean, tested, and performant code that stands up to the rigors of cybersecurity.
Investigate bugs and performance bottlenecks, applying your academic knowledge of algorithms and systems to real-world challenges.

As an AI Engineer, youll build full-stack features that deliver seamless user experiences - combining robust engineering with advanced AI capabilities.

Responsibilities:
Design and deploy agent-based systems for real-world use cases.
Build end-to-end features: backend APIs, data models, and React-based UI.
Integrate AI and agentic logic into the core product.
Develop backend pipelines for autonomous agents and workflow automation
Optimize model accuracy, reliability, and performance.
Work closely with product, data, and UX teams to align AI with business and user needs.

we are looking for a Graduate Software Simulator Developer.
In this role, you will learn and deeply understand the AI fundamentals and create tools that simulate AI neural network processor implementation. In addition, you will perform in-depth analysis and optimization to the simulator, to ensure simulator performance and accuracy for various processors architectures.
The project is using C/C++ as main development language as well as python for AI neural network
Development platforms are Linux and Windows based.
Responsibilities:
Taking part of innovative, agile, top-notch Software organization, designing Neural Network Processor (NPU) simulator in close collaboration with the architecture, algorithms, system and hardware teams.
Design and develop simulation software solutions allowing customers to run most advanced AI networks efficiently on NPU software simulation

Ready for an intellectual challenge that combines Mathematics and CS theory in the context of hardware development? Keep reading.

In this role you will be responsible for developing mathematical proofs using model checking tools, to find RTL(Verilog) bugs or prove their absence

Not in the Formal domain? No worries, we offer thorough training to learn the theory and practice directly from our team experts.

In this role you will be responsible for developing mathematical proofs using model checking tools, to find RTL(Verilog) bugs or prove their absence .
The position is relevant for both Herzliya/ Haifa site.

We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, NLP, and generative AI technologies, for solving problems within a wide scope. As a part of our Data Science group, you will work on highly complicated challenges, from research to production, and help shape our algorithms and AI platform. You will work with Developers, Analysts, Product Managers, and business owners on growth opportunities and new ideas. You should have a strong background and experience in the machine learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.

What am I going to do?:

* Take leading roles in projects such as search engine ranking, promoted ads in Fiverr’s search results, recommendations, users segmentation and personalization, online bidding optimization, text analysis, real-time predictions, live streaming data handling, exploration-exploitation problems, etc.
* Work closely with various departments in the company to provide advanced Data Science solutions end to end.
* Write and own production models and code.
* Independent research and innovation in new content and technological domains.
* Lead and advise other team members.
* Continuously produce new initiatives and improvement ideas.
* Act as a leader of Fiverr’s AI platform. Develop models and framework solutions for the group.

Equal opportunities:
At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace, from our community to our product. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

We are seeking a highly motivated High-Performance System Architect to join our team of experts and help shape the future of high-performance and ML / AI computing. Our next-generation NVL systems will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in AI research to high-performance clusters used at almost every industry today, such as car and Pharmaceutical. As a high-performance system architect, you will have the opportunity to work on some of the most cutting-edge technology and help to drive the innovation of our next generation networks that will be used by top researchers and engineers around the world.

What youll be doing:

Define the NVL system architecture end-to-end, by internal requirements and customers requirements through all product life cycles (post/pre silicon, on deployments).

Research of various solutions to enable the next large-scale-high-performance computing clusters. The position spans over various layers from algorithms, software, firmware, and HW.

Developing models for simulations and performance testing, analysing the results and development of future HW and SW.

Collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and research teams, to ensure the successful execution of the project.

Our team propels generative AI forward by building and deploying agentic systems that integrate innovative LLMs with domain tools to expedite HW and SW engineering workflows at scale. We are in search of a top-tier AI Agents Solution Architect to work closely with hardware architects, verification engineers, GPU performance experts, and software developers to develop end-to-end agent flows that drive significant enhancements in simulation analysis, kernel optimization, and developer efficiency.

What you'll be doing:

Develop innovative AI flows to improve hardware and software through collaboration with various engineering roles.

Facilitate co-creation workshops to transform SME rules of thumb into specific assignments, resources, cues, and guidelines. Define success measures, evaluation data, and feedback loops for agents to make a measurable difference in our HW simulation analysis and GPU-kernel optimization workflows.

Rapidly prototype and thoughtfully productize; integrate with internal services, utilize GPU capabilities, remove bottlenecks, and deliver fitting solutions.

Set up evaluation backbone using offline golden sets and online telemetry for confident iterations, cost control, and safe improvements.

Mentor and improve teams through insights in agent orchestration, prompting, RAG, observability, crafting documentation and playbooks for our teams.

Our DOCA team is seeking a highly motivated and hardworking experienced Engineer with hands-on capability technical experience, to design and implementation the SDK of the next generation Data Processing Unit Software, with a wide range of features related to cybersecurity and embedded systems.

This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting data centers across the world. At NVIDIA, We're united in our quest to transform the way Smart Adapters are used.

What you'll be doing:
Work with some of the best engineers to design and implement DOCA SDK and infrastructure.
Responsibility for the E2E development of DOCA SDK features.
Design and develop SDK libraries for networking, storage, cyber security, and high-performance computing.
Work with big companies to solve real issues that require innovation and customer orientation.

We are looking for a passionate Senior Software Engineer to join our Chip Design CAD team. In this role, you will contribute and work on the interesting junction of electrical and software engineering, when developing SW tools and solutions used to design the next generation Smart Adapters, Switches and GPUs for the advanced data centers across the world.

What you'll be doing:
Develop innovative SW solutions.
Take part in defining methodologies affecting design and verification engineers day to day work.
Improve existing tools, which are used in-house by electrical engineers for designing the next generation leading AI chips, SoCs and Switches.
Collaborate with designers, verification specialists and architects to accomplish your tasks.

We are looking for a versatile Senior Software Engineer to join our DPU Platform team. This is an opportunity to make a significant impact in a technology-driven company that powers the worlds most advanced data centers. You will use your expertise in low-level embedded Linux software and boot flows to work with global development teams, solving the complex challenges involved in delivering high-power computing platforms.

What you'll be doing:

Designing and developing low-level system software with a primary focus on bootloaders (ATF, UEFI), firmware, and hardware initialization.

Working together with hardware and design teams to drive SoC bring-up and platform enablement.

Solving complex challenges related to boot sequences, system optimization, and hardware resource management.

Supporting various internal and customer DPU projects alongside our global teams.

Taking part in all stages of the product lifecycle, with a focus on high software quality and stability.

Collaborating within a global software environment to have a broad impact across the company.

We are looking for a passionate Software Engineer to join our Simulation development team. Our team is growing, and we are looking for hardworking and experienced engineers to take part in building advanced networking simulation solutions. You will be part of a team developing next generation Switch simulation, works closely with other SW R&D teams and SW Architects.

What you will be doing:

Design and develop advanced features simulating our world class NICs and Switches.

Develop solutions using advanced virtualization technology.

Write clean, efficient and maintainable code.

Collaborate with team members, SW R&D, Architects, Chip Design and FW.

We are looking for a passionate, modern software engineer or junior architect early in their career. The role involves developing and prototyping new scalable training and inference advancements using our Spectrum-X AI fabric.

This role offers a rare opportunity to work on innovative AI and networking technologies, building prototypes that influence the development of large-scale AI systems. You will help improve AI application-network interaction by refining communication, crafting congestion control, contributing to NIC and switch capabilities, and enhancing AI factory performance at scale.


What youll be doing:

Prototype end-to-end solutions to improve distributed training and disaggregated inference performance.

Analyze and optimize communication flows across application, transport, and network layers.

Develop system software spanning communication libraries, drivers, and firmware integrations.

Collaborate with hardware, firmware, and SDK teams to co-design network features.

Validate and integrate prototypes into our AI infrastructure and products.

We are now looking for a TensorRT-LLM Software Development Engineer! We are hiring software engineers for its TensorRT-LLM team. Academic and commercial groups around the world are using GPUs to power a revolution in deep learning-powered AI, enabling breakthroughs in areas like LLM, ChatGPT and Generative AI that have put DL at the iPhone moment for AI. Join the team which is building the inferencing software which is foundational to product lines within us and across the industry! The ability to work on a fast-paced delivery-focused team is required and excellent interpersonal skills are a must.

What you'll be doing:

Craft and develop robust inference software that can be scaled to multiple platforms for functionality and performance.

Performance analysis, optimization, and tuning for Large Language Models (LLMs)

Conduct unit tests and performance tests for different stages of the inference pipeline.

Closely follow academic developments in the field of artificial intelligence and feature update TensorRT-LLM.

Write safe, scalable, modular, and high-quality (C++/Python) code for our core backend software for LLM inference.

Collaborate across the company to guide the direction of deep learning inference, working with software, research and product teams.

We are now looking for a Chip Design Verification Engineer. NVIDIA is seeking a verification engineer to join the chip design methodologies team. The team is in charge of the verification methodologies, shared code, training, and embracing new technologies. One of our main goals is to make sure that the team works in an efficient manner, and provides high-quality deliveries. This position offers the opportunity to have real impact in a dynamic, technology-focused company.

What you'll be doing:

Develop shared verification code and solutions to be widely used by the chip design team.

Develop groundbreaking methodologies to create a flawless experience for verification engineers to keep the focus on new problems.

Collaborate with the design automation team to provide end-to-end solutions that combine verification, simulation, and automation.

Get in touch with EDA vendors to learn about cutting-edge tools/technology and apply them into our verification process.

Understand the design, define the verification scope, develop the verification infrastructure and verify the correctness of the design.

Collaborate with designers, verification specialists to accomplish your tasks.

Develop training sessions.