דרושים » הנדסה » Senior Infrastructure Developer

we are looking for a Software Engineer -A new college Grad to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.
The DevOps Engineer position is an operational engineering role and is an integrated part of our development team. You will be responsible for improving the efficiency of our processes, software, and infrastructure, and will be assisting RnD Team with product development. If you are DevOps Engineer that is passionate about automating and scaling everything, this job is for you.
Responsibilities
Monitor and optimize cloud infrastructure for performance, scalability, and cost-efficiency.
Manage and Maintain CI Infrastructure (GitLab CI and Jenkins).
Manage, Maintain and Improve our Release and Development Environments.
Support critical production infrastructure deployed in Multiple Clouds (AWS, Azure, and GCP).
Develop and Support RnD toolchain and implement best practices for code deployment, testing, and maintenance.
Automate On-Premises Labs Infrastructure by adopting IaC practices.
Lead and Develop Monitoring, Telemetry, Alerting, and Logging Production services.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will work with system teams and the CPU Architecture team to develop an understanding of the Central Processing Unit (CPU), System on a Chip (SoC), performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision making. You will correlate performance projections with measured post-silicon data.The ML, Systems, & Cloud AI (MSCA) organization at our company designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all our company services (Search, YouTube, etc.) and our company Cloud. Our end users are our customers, Cloud customers and the billions of people who use our company services around the world.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our company Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Write product or system development code.
Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
Manage project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SoC performance modeling team, and other company Software teams.

As an AI Developer on our Optimization team, you will play a key role in advancing our core optimization capabilities by infusing them with cutting-edge artificial intelligence.

Our team is on a mission to significantly enhance our existing, high-performance optimization engine. You'll tackle a diverse range of complex problems - including optimization of vehicle routing and scheduling - for our customers at a massive scale.

You will join our team at a pivotal moment and be an integral part of building our next-generation AI/ML capabilities from the ground up. As a key contributor, your responsibilities will span the entire model lifecycle, from augmenting our current optimization models with advanced AI to implementing the infrastructure for their deployment and monitoring.

You will apply state-of-the-art techniques such as Deep Reinforcement Learning (DRL), predictive analytics, and Graph Neural Networks (GNNs), all while working with rich datasets including Geographic Information System (GIS) data.

Another core part of your role will be implementing best practices for safe AI/ML rollouts. You will help build and maintain robust A/B testing frameworks and canary deployment strategies, ensuring our innovations reach production safely and effectively.

In this highly collaborative position, you will work closely with other engineers and scientists, as well as cross-functional product teams in the US, to bring these intelligent services to life.

Responsibilities:

Develop, implement, and deploy state-of-the-art optimization models and machine learning algorithms to solve complex business problems like vehicle routing and resource scheduling.

Design and build robust, end-to-end MLOps pipelinesfrom data ingestion and feature engineering to model training, validation, and serving in a production environment.

Translate complex scientific concepts and research papers into production-quality code, primarily using Python and leveraging frameworks like PyTorch and optimization libraries.

Conduct rigorous offline and online experiments to validate model performance, ensuring that solutions are statistically sound, reliable, and deliver measurable business impact.

We are looking for an excellent highly motivated Senior SW Engineer with experience in embedded software development to join the software testing team in the Data Processing Unit (DPU) SW Group. We are looking for a candidate with the ability to thrive in an environment with complex software and hardware designs, take ownership and lead the SW testing of key components of the DPU. The role includes working closely with HW, FW, and SW teams all over the world, and take our product to next level.

What youll be doing:

Build automated verification environment for high-end hardware and software which is at the forefront of innovation.

Develop and maintain test automation frameworks and scripts using Python.

Identify, analyze, and report software defects, inconsistencies, and other quality issues.

Make better product quality by improving tests coverage.

Take an active part in development, integration and verification with R&D.

Drive improvements for performance, quality, stability around SW acceleration solutions.

Stay up to date with industry best practices, new technologies, and emerging trends in software verification.

our company's custom-designed machines make up one of the largest and most powerful computing infrastructures in the world. The Hardware Testing Engineering team ensures that this cutting-edge equipment is reliable. In the R&D lab, you design test equipment for prototypes of our machinery and develop the protocols used to scale these tests for the entire global team. Working closely with design engineers, you give input on designs to improve our hardware until you're sure it meets our company's standards of quality and reliability.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of our company platforms, we make our company's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
Responsibilities
Design, develop, and maintain CAD tools and scripts to automate and streamline design tasks, verification processes, and data analysis.
Administer and optimize the front-end compute environment, ensuring reliability, performance, and scalability.
Provide technical support and training to Design and Verification teams on the use of CAD tools, scripts, and the compute environment.
Identify opportunities to enhance front-end development workflows, implement improvements, and document best practices.
Work closely with design, verification, and CAD teams to understand their needs, gather requirements, and deliver effective solutions.

We're looking for a talented and experienced DevOps Engineer to join our Platform group.
As a DevOps Engineer you will work on our highly scalable gaming backend and our massive data processing pipeline, ingesting billions of daily events. Make sure our systems and infrastructures scale and perform at optimal levels.
Responsibilities:
Take charge of our multi-cloud data platforms uptime, performance, and cost-effectiveness, ensuring a highly available and scalable environment for our data-driven applications
Design, implement, and maintain cutting-edge generative AI engines and tools
Work closely with architects, data scientists, software engineers, and system administrators to design and implement scalable and secure data infrastructure solutions
Contribute to product architectural and infrastructure design, focusing on leveraging backend infrastructure
Drive innovation by continuously evaluating and integrating new technologies to improve our data platforms capabilities and efficiency

Youll join a compact, high-impact group inside the Platform unit, working shoulder-to-shoulder with engineers, product, support, CSMs, and technical writers to ship features, refine standards, and engage our rapidly growing community of Web3 and fintech innovators.

Who You Are
Youre a builder at heart: part developer, part product thinker. Youve shipped code, written docs that move metrics, and solved real user pain. You want ownership: to drive the roadmap, build tools, and craft content that developers actually use.
You treat DevRel like product work: every tutorial, guide, and sample app is a feature to ship and improve. You're comfortable acting solo, but you think big and work cross-functionally to remove friction and scale impact.
Above all, you care about outcomes: unblocked devs, faster onboarding, and clear signals that your work drives adoption.
What Youll Do
Own our developer-facing content end to end. From roadmap to release. Manage documentation, tutorials, and sample code as living, version-controlled products: prioritize their backlog, ship high-quality updates, and track impact with the same KPIs we apply to production features. Author clear guides and runnable examples while partnering closely with our technical writing team to ensure every page is accurate, consistent, and user-centric.
Build and maintain fully runnable demo apps. Ship reference projects in Node.js, Python, Go, or Java (complete with IaC, automated tests, and CI/CD) so customers can clone, deploy, and learn by doing.
Be the voice of our developer customers. Run customer interviews, shadow integrations, and mine support tickets to uncover real-world pain pointsthen translate those insights into sharper docs, richer tutorials, and higher-impact sample code that erase friction.
Design friction-free onboarding. Craft step-by-step guides that take developers from API key issued to their first signed transaction in minutes, complete with copy-pastable snippets, and screenshots.
Publish deep-dive concept content. Demystify policies, EVM vs. UTXO models, Solana flows, security best practices, and more. Youll turn complex ideas into digestible articles that shorten the learning curve.
Create content for developer workshops & events. Develop slide decks, hands-on labs, and live-coding assets for webinars, hackathons, and conference sessions, partnering with DevRel to deliver memorable, high-value experiences.
Seed and grow the developer community. Launch and moderate Discord/Stack Overflow channels, run live-coding office hours, showcase community projects, and turn satisfied users into peer-to-peer advocates.
Instrument, measure, iterate. Wire up analytics to track engagement, search success, and GitHub stars, using data to drive continuous improvement and prove ROI.

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.

We are looking for a passionate Senior Full-Stack Developer to join our small all-star team. As part of your role, you will design the architecture, develop, and deploy the internal system that controls our core ML engine and bidding systems. In addition, you'll help improve the back office and infrastructure of our user-facing modules serving millions of users and impressions each day.
This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, data-oriented environment.
If you are experienced but still hungry to learn and impact - wed love to have you on our team!
What Youll Do:
Take ownership of the internal systems controlling, navigating and monitoring our ML and media engines and used by all company members
Plunge into a world of data, analytics, ML, high-paced and high scale user and market movements
Work closely with data scientists and developers to understand the business from top-to-bottom and identify new modules that could turbocharge company processes
Improve our user-facing modules and tackle diverse issues like solving worldwide caching, designing A\B test systems and optimizing page performance
Technological superiority is what gives us our edge so youll work and be up to date with the latest tech and trends