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We are looking for a Database QA Automation Engineer 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.
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, we take the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.

we are a leader in high-scale disaggregated networking solutions. Founded in 2015, our company modernizes the way service providers, cloud providers and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&Ts backbone traffic is running on our company Network Cloud open disaggregated architecture. Raising $587 million in three funding rounds, we are disrupting the networking market from high-scale architecture to AI platforms, and is bringing onboard the most talented people. We are seeking people that want to make an impact on the worlds leading communication networks and are experienced in networking architecture or AI infrastructure solutions.
The Role
We are looking for the best of the best talent that is capable of dreaming out of the box and can execute on the dream and turn it into real value for our customers.
Were looking for a software engineer with a passion for software development, excellent design/coding/debugging skills and the ability to mentor and guide junior engineers.
The Infra group provides core components for our products. We design and develop the Infra for a large-scale distributed system. For example, we own areas related to high-avialability, data-managment, security and telemetry.

we are a leader in high-scale disaggregated networking solutions. Founded in 2015, our company modernizes the way service providers, cloud providers and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&Ts backbone traffic is running on our companys Network Cloud open disaggregated architecture. Raising $587 million in three funding rounds, we are disrupting the networking market from high-scale architecture to AI platforms, and is bringing onboard the most talented people. We are seeking people that want to make an impact on the worlds leading communication networks and are experienced in networking architecture or AI infrastructure solutions.
Job Summary:
Develop and optimize high-performance datapath software for AI datacenter networking, implementing SONiC enhancements, smart NIC integration, and specialized routing features for AI workloads.
Key Responsibilities:
Implement datapath features in SONiC for AI-optimized networking scenarios
Develop smart NIC integration drivers and control plane software
Optimize packet processing performance for AI training and inference traffic
Implement RDMA and high-speed networking protocol support
Create monitoring and telemetry collection mechanisms for datapath analysis
Implement load balancing algorithms optimized for AI workload patterns
Debug and optimize datapath performance bottlenecks
Collaborate with QA teams on feature testing and validation
Contribute to open-source SONiC community and maintain vendor-specific extensions.

we are looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, automation, and scalable AI platforms.
If youre an innovator at heart, passionate about leveraging AI to solve complex problems, and thrive in an environment where experimentation and entrepreneurship are encouragedthis role is for you.
Responsibilities:
 Develop and integrate AI-powered solutions to enhance engineering productivity, automate workflows, and improve developer efficiency.
Evaluate and implement state-of-the-art AI platforms (ChatGPT, Claude, Gemini, custom models) to solve engineering and operational challenges.
Design and maintain AI-driven internal platforms such as knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Work alongside engineering, DevOps, and product teams to embed AI into everyday development workflows.
Lead Proof-of-Concept (PoC) projects, experimenting with LLMs, generative AI, and automation frameworks to create tangible business impact.
Stay ahead of emerging AI trends, researching and implementing cutting-edge AI models and tools.
Build scalable AI infrastructure that integrates with cloud environments (AWS, GCP, Azure) and engineering toolchains.
Promote a culture of innovation, empowering teams to embrace AI-driven solutions and fostering AI adoption across the organization.

We are looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture.

The Data Path HAL team is looking for an Embedded Software Engineer (Junior), to join us in building the next generation of networking products. Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, fast-paced environment.
Working in both pre-silicon and post-silicon activities defines the Data Path HAL team as a leading team in our software development.

In this role you will be leading tasks involving peers from multiple disciplines, while enjoying every step of the journey.
You will have the opportunity to work on the heart of the network engine, at the worlds largest cloud provider, in a dynamic, open, 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.

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.

At our company, we are building an AI-First company, leveraging cutting-edge technology to revolutionize climate intelligence.
our company's engineering department is focused on building life changing software and products at scale, from infrastructure that handles massive amounts of data to outstanding customer-centric user experiences in B2B, B2C and B2D products that change billions of lives worldwide.
We're looking for a DevOps Engineer who'll bring the dev stream from build through deploy to production, to maximum efficiency, reliability, security and stability. You'll integrate AI capabilities into our DevOps workflows, facilitate team independence, and maintain adaptive infrastructure that supports our business strategy. By continuously reducing costs and increasing velocity, you'll work in a team effort to achieve our goals. You'll help us make sure we are building the biggest weather platform in the world.
As a DevOps Engineer at our company, You'll:
Develop and adopt AI-powered tools to make Development and Operations processes more efficient
Collaborate with developers and weather scientists to optimize service performance, reliability, scale, security, and cost
Evolve and maintain adaptive cloud infrastructure to support our business strategy and enable smooth growth at scale
Build self-service platforms for scientists and developers to work independently
Introduce and integrate MLOps practices for GPU-based model deployment on Kubernetes
Maintain Production availability by participating in DevOps on-call shifts.

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.

Join a cutting-edge team at our company and be a key player in shaping the future of endpoint security. You'll work alongside security experts to design and implement innovative solutions that protect organizations from emerging threats.
Leverage your C#/C++ skills to develop efficient and scalable code for our Windows-based endpoint security software. Your work will directly impact the security posture of businesses worldwide.
Contribute to the entire product lifecycle, from early-stage prototyping to final deployment. You'll have the opportunity to see your ideas come to life and make a real difference.
Collaborate with a talented team of security experts, project managers, and engineers to solve complex challenges and deliver exceptional results.
Enjoy a supportive and growth-oriented environment that encourages professional development and fosters a sense of community.
Key Responsibilities
Design and implement robust endpoint security features for Windows platforms.
Write clean, efficient, and maintainable C#/C++ code.
Collaborate with cross-functional teams to deliver high-quality solutions.
Participate in all phases of the software development lifecycle.
Stay up-to-date with the latest security trends and technologies.