דרושים » הנדסה » Senior Software Engineer-AI

As a member of the UC organization, youll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in us. Within our UC, We are Dedicated Cloud (ADC) roles engage with our customers who require specialized security solutions for their cloud services.

You'll have the opportunity to work on the technologies that power the world's largest cloud provider, in a dynamic, open, fast-paced environment.

In this role you'll develop, design, maintain, deploy, monitor and support a very important component in the Nitro/ML firmware, while enjoying every step of the journey.

Key job responsibilities:
A Principal Software Engineer (PE) would own and lead the development, optimization, and maintenance of the codebase, including:
1. Architecting and designing firmware/real-time components for efficient hardware resources management, packet processing, and driver interfaces
2. Implementing and optimizing firmware features to improve performance, scalability, and reliability. 3. Collaborating with hardware teams to ensure seamless integration with next-gen Nitro cards
4. Mentoring and coaching a team of software and firmware engineers, providing technical guidance, and driving best practices in firmware development
5. Engaging with internal and external customers to understand their networking requirements and translate them into features and enhancements
6. Staying up-to-date with industry trends, emerging networking technologies, and relevant standards to ensure the teams remain competitive and future-proof.

we believe when you get the people thing right, you can build teams that can change the world. Were helping organizations around the globe reimagine hiring with our first-of-its-kind recruitment technology. From our Conversational ATS to our best-in-class hiring assessments, laser-focused on building world-class products and a team that our clients love. Our high-performance culture and triple-digit growth have been recognized on Deloittes "Fast 500" technology companies, the Inc 5000 list of fastest-growing private companies, and as a Forbes Best Startup Employer. And were just getting started. We are looking for top performers who have a track record of success and want to build a company and create the future together.

Were in search of an LLM Engineer with a Data Science background to join our Tel Aviv-based team and help shape our Large Language Model (LLM) capabilities. In this pivotal role, you will immerse yourself in the world of Large Language Models, diving deep into their intricate mechanisms and potentials. Through your work in shaping prompts and refining conversational AI performance, you'll play a crucial part in elevating the hiring experience for millions worldwide. you'll find an opportunity to explore the exciting frontier of conversational AI, directly influencing its evolution and application. Join us on this transformative journey and let's redefine the landscape of recruitment technology together!

Sound like your perfect fit? We want to hear from you!
As an LLM Engineer, you will be responsible for developing and refining Large Language Model (LLM) prompts to strengthen and scale conversational AI capabilities. In this role, you will:

Design and implement LLM evaluation frameworks to assess and integrate new AI models, parameters, and techniques
Create synthetic datasets and develop end-to-end GenAI workflows, from data preprocessing to model deployment
Evaluate and integrate new AI models and technologies, staying at the forefront of advancements in the field
Design and build AI agents that automate key workflows for recruiters, empowering them with intelligent automation capabilities
Optimize AI-user interactions through prompt engineering and other techniques to enhance our AI-driven hiring assistant
Implement practical applications of LLM research findings, creating scalable tools for user-facing applications
Conduct data analysis and develop metrics to measure the performance and impact of AI solutions.
Collaborate with cross-functional teams and our global R&D team to drive AI innovation and evolve strategies across our products

The Data-Apps team at our company is seeking a versatile Principal Full-Stack Engineer to lead the development of high-impact products for both internal stakeholders and external users. As a central member of our Research department, you will take full ownership of our AI-driven solutions architecture, design, and evolution, driving organization-wide technical strategies.
This role demands a proven leader with deep expertise in the development of backend, frontend, and cloud infrastructure, including Infrastructure as Code (IaC). You will drive the entire development lifecyclefrom conceptualization and system design to deployment and maintenanceensuring our solutions are scalable, secure, and aligned with business needs.
Youll work closely with AI researchers, data analysts, and medical researchers to develop solutions that maximize the impact of our companys AI technology.
This role is pivotal within our company, offering the opportunity to shape our technological landscape while driving the future of AI in healthcare.
Responsibilities
Architectural Leadership: Define and drive organization-wide technical strategies that shape our AI products and ensure long-term scalability and robustness.
Lead Full-Stack Project Development: Spearheaded a high-impact project, overseeing all technical stages from initial design to final deployment. This includes crafting user interfaces with modern frameworks and backend system architecture.
Implement Web Applications: Utilize ReactJS and VueJS alongside HTML and CSS to ensure seamless user experiences.
Develop Scalable Backend Systems: Build distributed, scalable backend solutions, optimizing for performance and reliability. Incorporate AWS cloud services, focusing on event-driven architecture for efficiency and scalability.
Incorporate Best Practices: Champion code quality, CI/CD processes, and agile methodologies to enhance team excellence and product reliability.
Strategic Collaboration and Influence: Engage with a diverse array of stakeholders, including users from different backgrounds, development teams, product managers, and project managers. Tailor development efforts to meet a wide range of user needs and business objectives, leveraging your technical expertise to influence product direction and strategy effectively.
Cost-Effective Design and Development: Strategize development and infrastructure design with an emphasis on cost efficiency, understanding the pricing and operational costs, and planning for sustainable growth.

As a member of the UC organization, youll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in our company. Within our UC, our Dedicated Cloud (ADC) roles engage with our customers who require specialized security solutions for their cloud services.

Working for us is thrilling, fast-paced, and a constant learning experience. The Graviton SW team is looking for a Senior Embedded Engineer to join us in building next generation platforms. At the platforms team, you'll be working on large and complicated boards, bringing our Silicon devices into the fleet. You'll have the opportunity to shape our next gen platforms and work on the technologies that power the world's largest Cloud provider.

Are you passionate about AI and machine learning? Do you thrive on rapid experimentation, prototyping, and building innovative tools that solve real business problems?
Do you enjoy diving into unfamiliar technologies, quickly assessing and demonstrating their potential impact?
Were looking for an exceptional AI Innovation Engineer to join the Office of the CEOsomeone who can seamlessly blend deep technical expertise with product thinking and business acumen. In this high-impact role, youll lead AI initiatives that drive both internal efficiency and product innovation, working closely with the CEO, R&D, and Product teams.
Youll take ownership of architecting and building fast-moving PoCs, exploring new technologies, and developing custom solutions that go beyond standard integrations to deliver real business impact.
As an AI Innovation Engineer, you will:
Rapidly design and develop PoCs using cutting-edge AI and ML technologies.
Lead the design and development of AI-powered tools that streamline internal processes and boost productivity.
Build innovative AI features into product suite, focusing on tangible customer and business impact.
Explore and evaluate new frameworks, tools, and approacheswithout being limited to familiar stacks.
Partner closely with Product teams to deeply understand use cases, define requirements, and shape AI-driven solutions.
Work hand-in-hand with R&D and Engineering teams to bring AI concepts to lifefrom ideation to production.
Take ownership of complex technical challenges, architecting AI solutions that are scalable, maintainable, and robust.
Act as a trusted advisor to the CEO, providing insight into the strategic application of AI across the business.
Research, evaluate, and implement emerging AI technologiesprioritizing in-house development of tailored solutions where it creates strategic advantage.
Bridge technical and business worlds, ensuring AI initiatives align with overall company objectives.

We are seeking a highly skilled and experienced Architecture & Operations Lead to drive the development of infrastructure for automation testing, internal DevOps, CI/CD, and deployment.

This role is critical in designing and maintaining scalable and high-performance infrastructure for software development, testing, and production environments. The ideal candidate has a strong background in cloud infrastructure, automation, microservices architecture, performance monitoring, and software best practices.

Key Responsibilities:

Infrastructure & Automation:
Design and implement infrastructure for automation testing and internal DevOps processes.
Develop and manage CI/CD pipelines, ensuring smooth and automated software deployment.
Architect and maintain scalable infrastructure on AWS, leveraging Terraform and infrastructure-as-code (IaC) best practices.
Define and enforce software best practices, ensuring reliability, maintainability, and security.

Operations & Performance Monitoring:
Lead performance monitoring and optimization efforts using tools like APM (Application Performance Monitoring) and New Relic.
Implement Site Reliability Engineering (SRE) principles to enhance system reliability and scalability.
Monitor and improve system performance, ensuring high availability and fault tolerance.

Collaboration Across Teams:
Work closely with development, product, and DevOps teams to align infrastructure strategies with system architecture.
Conduct design reviews and provide recommendations to optimize software and infrastructure performance.
Oversee GitHub Actions workflows for efficient automation and deployment processes.

Security & Compliance:
Ensure infrastructure meets industry security and compliance standards.
Collaborate with security teams to perform vulnerability assessments and implement secure deployment strategies.

Software Development & Best Practices:
Define and enforce best practices for software development and deployment.
Ensure backward compatibility compliance, preventing API breakages.
Drive automation initiatives to reduce manual effort and increase efficiency.

We are at the forefront of AI-driven innovation in VLSI design automation. Join us to shape the future of semiconductor design with cutting-edge AI tools and make a significant impact in a collaborative, high-performance environment. Are you ready to push the boundaries of whats possible in VLSI CAD? Come be part of our pioneering team!

What you'll be doing:
You will be responsible for developing and integrating advanced CAD solutions and automation flows using AI and machine learning for VLSI design, verification, and implementation.
Work closely with design, verification, and CAD teams to identify areas for improving VLSI workflows using advanced tools and methods.
Research, prototype, and deploy AI-based algorithms.
Develop and maintain scripts and automation infrastructure to enable seamless adoption of AI tools in the VLSI design process.
Continuously review emerging AI technologies and methodologies to keep our CAD environment up-to-date.
Provide technical support and training to engineering teams on AI-enabled CAD flows and best practices.

About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will be part of a team developing Application-Specific Integrated Circuit (ASIC) used to accelerate networking in data centers. You will have dynamic, multi-faceted responsibilities in areas such as project definition, design, and implementation. You will participate in the design, architecture, documentation, and implementation of the next generation of data center accelerators.
You will be responsible for performance analysis for an end-to-end networking stack using your deep knowledge of RDMA based transports.
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 companyrs, 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
Participate in evaluation of future ASIC designs and general architecture for executing our companys data center networking roadmap: off-the-shelf components, vendor co-developments, custom designs, and chiplets.
Collaborate in developing new layer protocols for data center networking.
Understand how it interacts with software and other ASIC subsystems to implement groundbreaking data center networks.
Define performance hardware/software interfaces. Write micro architecture and design specifications.
Define efficient micro-architecture and block partitioning/interfaces and flows.

We are looking for a Software Developer.
As a Software Developer you will be responsible to:
Play a key role in designing and implementing infrastructure solutions to support our development and deployment processes.This role requires a versatile individual with strong technical skills, an out-of-the-box thinker, and a passion for solving challenging problems in cloud-based environments.
Key Responsibilities:
Develop, maintain, and optimize Python-based services and tools for cloud platforms (AWS preferred).
Design and implement scalable and secure infrastructure solutions, leveraging modern cloud technologies.
Build and maintain APIs, microservices, and server-side applications using Python frameworks
Collaborate with cross-functional teams to integrate CI/CD pipelines and improve deployment efficiency.
Troubleshoot and resolve technical bottlenecks in cloud-based systems.
Contribute to system architecture design and ensure best practices are followed.
Stay up-to-date with emerging technologies and trends to continuously improve development and deployment processes.

architecting a new approach to the enterprise data stack built for the age of reasoning. The Data Platform sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase GPU utilization and make AI model training and inference, machine learning, and other compute-intensive workloads run faster, work more efficiently, and consume less energy.

a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds largest and most innovative enterprises and research organizations, including 12 of the Fortune 50, achieve discoveries, insights, and business outcomes faster and more sustainably. Were passionate about solving our customers most complex data challenges to accelerate intelligent innovation and business value. If you share our passion, we invite you to join us on this exciting journey

What you'll be doing:

The filesystem group is a high-powered team responsible for implementing algorithms at scales of 100s of PBs. The team also manages the core filesystem components, including blocks and metadata management, snapshots, RAID logic, object-store tiering, unique cloud disaster recovery features, and more. And most importantly, they skillfully handle the most delicate part of the solution our customers data.
As a Senior Software Engineer, youll:
Design and develop distributed file system components to support data management features such as snapshots, replication, tiering, and advanced data reduction algorithms;
Participate in the design, architecture, and implementation of next-generation storage architecture;
Assist in technically managing initial storage implementations including proofs-of-concept;
Diagnose bottlenecks and implement clean and performant solutions to achieve unbeatable performance;
Design algorithms and data structures to make sure customer data is safe and coherent across our solution in a wide variety of failure modes; and
Constantly revisit the architecture, algorithms, and methodologies to improve productivity, reliability, and maintainability.