דרושים » הנדסה » Software Engineer III, Experimentation and Analytics Tools

we are looking for a Software Engineer III, CloudNet Telemetry Instrumentation and Collection
Responsibilities
Write product or system development code.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Be responsible for the packet sampling code which powers VPC Flow Logs as well as internal observability tools, as well as maintaining and developing new features in this code.

Required Software Engineer
About The Role:
Your responsibilities will span from design to implementation of a complex, time-critical, microservices-based system, that leverages event-driven design to handle large volumes of clinical data and provide advanced interface (mobile and web) to manage clinical workflows. You will collaborate closely with cross-functional teams including AI researchers, data engineers, product managers, and clinicians, helping us deliver life-saving technologies to hospitals. This is a hands-on, high-ownership role where your technical expertise, creativity, and leadership will drive real-world outcomes measured in lives saved.
Tech stack:
We are running on AWS and using various technologies to power our services. Our services are Python-based, and we leverage open-source technologies like RabbitMQ, Redis, and Elasticsearch to achieve scale, performance, and robustness. We also encourage the use of AI-powered coding tools such as Junie and Cursor to boost productivity, code quality, and delivery speed.
You will:
Own your domain and ensure code quality, system performance, and product scalability
Build and maintain microservices written in Python
Design and implement event-driven systems to handle large-scale clinical data
Collaborate closely with stakeholders across product, design, AI, and clinical teams
Mentor and coach other developers, setting high standards for clean, maintainable code
This role may be for you if youre excited about:
Seeing your work directly translate to lives saved
Delivering mission-critical, real-world systems at scale
Leveraging cutting-edge AI tools like Junie and Cursor to accelerate your workflow in a team that embraces modern development practices
Working with world-class engineers and researchers whove taken startups from seed to exit
Being part of an open, supportive, and fun team.

We are leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! We are looking for a motivated Partner Enablement Engineer to guide our key partners and customers with NCCL. Most DL/HPC applications run on large clusters with high-speed networking (Infiniband, RoCE, Ethernet). This is an outstanding opportunity to get an end to end understanding of the AI networking stack. Are you ready for to contribute to the development of innovative technologies and help realize our vision?

What you will be doing:

Engage with our partners and customers to root cause functional and performance issues reported with NCCL.

Conduct performance characterization and analysis of NCCL and DL applications on groundbreaking GPU clusters.

Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.).

Guide our customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters.

Document and conduct trainings/webinars for NCCL.

Engage with internal teams in different time zones on networking, GPUs, storage, infrastructure and support.

A leader in computer graphics, PC gaming, accelerated computing, and AI. the Networking Business Unit is building chips, systems, and software that power the most advanced data center and hyper-converged networks of today and tomorrow. The data processing unit (DPU) and series of SmartNICs ignite outstanding innovation for modern data centers by offloading, accelerating, and isolating a broad range of sophisticated networking, storage, and security services.

We are looking for a highly motivated software engineer with experience in data forwarding technologies, Linux kernel and container networking, network functions virtualization (NFV), and related areas to join our team and work on innovative offload solutions. You will develop software for various networking offload and virtualization use cases as well as data forwarding on Ethernet switching platforms. You will use the latest software development tools and techniques and gain extensive knowledge of modern data center architectures and workload acceleration.

What youll be doing:
Design, develop, test, and maintain new functionality and improvements to existing functionality related to offloading various networking services.
Design, develop, test, and maintain system software components related to networking.
Work on data forwarding functionality on Ethernet switching platforms.
Lead and guide cross-functional teams on large feature development activities.
Collaborate with team members, architects, QA, and Support teams on feature definition, development, release, and bug fixing.

Key Responsibilities
Software Development: Design, develop, test, and maintain robust, scalable, and high-quality software applications.
System Architecture: Contribute to architectural decisions, ensuring efficient system design and implementation.
Data Engineering & Analytics: Design and optimize data pipelines, integrating structured and unstructured data sources into data lakes.
Code Quality & Best Practices: Write clean, maintainable, and well-documented code while enforcing coding standards and best practices (SOLID principles, TDD, CI/CD).
Performance Optimization: Identify bottlenecks and optimize application performance, scalability, and security.
Mentorship & Leadership: Mentor junior developers, conduct code reviews, and promote knowledge sharing within the team.
Cross-Functional Collaboration: Work closely with product managers, designers, DevOps, and QA teams to deliver high-quality software solutions.
Problem-Solving: Troubleshoot and resolve complex technical issues across different components of the software stack.
Agile Development: Participate in Agile methodologies, including sprint planning, daily stand-ups, and retrospectives.

we empower organizations to run in the cloud by aligning operations and security around access management. Our platform provides companies with Just-In-Time and Just Enough access across their hybrid environments reducing the access risk while improving productivity.
has offices in New York and Tel Aviv and supports dozens of customers across the US and the world, including large Fortune 500 companies and was honored in Gartner's Magic Quadrant for Privileged Access Management.

What are we looking for?
We are seeking a highly skilled and motivated Software Engineering Team Leader to build and lead our new Analysis & Discovery team. In this pivotal role, you will be responsible for the technical vision, execution, and management of the team, driving the development of modules that provide actionable intelligence in the realm of identity management, permissions, and digital identities.

About the Analysis & Discovery Team:
The Analysis & Discovery team plays a crucial role in empowering administrators with deep insights into their organization's identity and permission landscape. Our mission is to develop cutting-edge modules that allow administrators to discover, analyze, and act upon how permissions and entitlements are granted and utilized across their systems. We are at the forefront of tackling complex challenges in identity management, including the new developing field of non-human (digital) identities.

Responsibilities:
Lead, mentor, and grow a team of talented software engineers in a fast-paced startup environment.
Spearhead the design, development, and maintenance of modules focused on high-scale data ingestion,processing & inferring insights
Pioneering the development of new modules to manage and secure non-human identities.
Lead & apply Agile/SCRUM methodologies, including facilitating SCRUM ceremonies and fostering a culture of continuous improvement.
Perform deep technical dives to resolve complex issues and ensure high-quality deliverables.
Collaborate closely with product management, security researchers, and other engineering teams to define roadmaps and deliver impactful solutions.
Foster a culture of innovation, security-first, technical excellence, and strong teamwork.

We are seeking an exceptional Applied Scientist to join our Prime Video Sports tech team in Israel. Our team is dedicated to developing state-of-the-art science to allow for personalizing the customers experience and customers to seamlessly find any live event in our selection. You will have the opportunity to work on innovative, large-scale projects that push the boundaries of what's possible in sports content delivery and engagement. Your expertise will be crucial in tackling complex challenges such as temporal information retrieval, leveraging Generative AI and Large Language Models (LLMs), and building state-of-the-art recommender systems.

Key job responsibilities:
We are looking for an Applied Scientist with domain expertise in Personalization, Information Retrieval, and Recommender Systems, or general ML to lead the development of new algorithms and end-to-end solutions. As part of our team of applied scientists and software development engineers, you will be responsible for researching, designing, developing, and deploying algorithms into production pipelines. Your role will involve working with cutting-edge technologies such as Gen AI/LLMs to enhance content discovery and search capabilities. You'll also tackle unique challenges like temporal information retrieval to improve real-time sports content recommendations. As a technologist, you will drive the publication of original work in top-tier conferences in Machine Learning and Information Retrieval. We expect you to thrive in ambiguous situations, demonstrating outstanding analytical abilities and comfort in collaborating with cross-functional teams and systems. The ideal candidate is a self-starter with the ability to learn and adapt quickly in our fast-paced environment.

Your role will involve leading features from inception and analysis, through design, implementation, testing, and maintenance.
You will also participate in product-changing architectural choices, take ownership of various components/tools, and continuously expand your skill sets.
Expect to immerse yourself deeply in complex sub-systems that support serving of AI models at scale (for example model-monitoring and feature-store).
Recognized for helping enterprises deliver enterprise-wide analytics at scale, advanced Machine Learning Operations (MLOps) pipeline enables clients to streamline and manage their AI, from the initial concept all the way to production, in a simplified and automated manner.
Your Growth
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleaguesat all levelswill invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you wont find anywhere else.
When you join us, you will have:
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. Youll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firms diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, youll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package, which includes medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.

we are looking for a Software Engineer to join our AI Applications team.
The AI applications team is working as an end to end value stream function, delivering product solutions from the very beginning of an idea towards the final user experience, where the main expertise is around products that require AI abilities.
You will be responsible for developing, iterating, and maintaining AI based user experiences on a variety of destinations on the platform. You will be a part of a multidisciplinary team of Product engineers, AI researchers, data scientists and Machine learning (ML) Engineers, you will work with the most recent AI tools and abilities in the industry, and will take a key role in shaping how those will make an impact on customers.
Responsibilities:
Collaborate with design, front-end, and ML engineers to develop and implement new features for platform.
Build scalable services and applications to support large-scale platform.
Write clean, efficient, and well-documented code. Actively participate in code reviews and quality assurance processes.
Work in a cross-functional team, closely collaborating with front-end, back-end, and AI developers to ensure seamless integration and optimal performance of front-end features.
Identify opportunities to improve our architecture and tooling across multiple levels of the stack.
Continuously research and explore new technologies, tools, and techniques to stay up-to-date with the latest trends and best practices.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are seeking a highly motivated and skilled Release Engineer to join our AIOps group. In this role, you'll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.
A day in the life and how you’ll make an impact:
* Manage the end-to-end release process of machine learning algorithms and infrastructure components, from qualification through deployment.
* Validate and test new algorithm releases to ensure they meet performance, stability, and compliance standards.
* Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
* Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
* Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
* Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
* Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
* Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.