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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, Amazon Dedicated Cloud (ADC) roles engage with our customers who require specialized security solutions for their cloud services.

Be part of an elite team developing cutting-edge AI infrastructure automation solutions supporting our Labs' innovative technology development. Shape the future of cloud computing while working with state-of-the-art cloud and AI technologies in a fast-paced environment.

Job Description:
We're seeking an exceptional Software Engineer to join our infrastructure automation team supporting our Labs' development teams. What makes this role unique is your direct impact on infrastructure innovation - you'll be building intelligent infrastructure that drives the development of next-generation cloud technologies.
You'll work at the fascinating intersection of AI and cloud infrastructure development, implementing automation solutions that directly enhance the productivity of our engineers. Unlike typical infrastructure roles, you'll have the opportunity to influence both AI implementation and core infrastructure architecture while collaborating with world-class cloud technology experts.
The position offers rare exposure to cutting-edge cloud computing technology combined with the latest AI advances. You'll be part of a team that values innovation and technical excellence, working in an environment where your ideas can quickly transform from concept to reality.
In this role, you'll develop intelligent automation solutions, implement AI-driven tools for development workflow optimization, and create innovative infrastructure solutions that directly shape the way we work.

Key job responsibilities:
* Design and implement AI-powered automation solutions for development workflows.
* Develop and maintain Python-based infrastructure tools and services.
* Create efficient CI/CD pipelines and build systems.
* Implement intelligent monitoring and self-healing systems.
* Drive technical discussions and architectural decisions.
* Maintain and improve existing infrastructure systems.

We are expanding its engineering team!
We are looking for a highly skilled Senior System Software Engineer to join our core R&D efforts and help build cutting-edge AI-based vision systems.
This role is ideal for an experienced engineer coming from leading hardware/software companies (such as NVIDIA, Intel, Qualcomm), with strong expertise in real-time systems, edge computing, and system-level optimization.
Responsibilities
Design and implement real-time software infrastructures to support AI and vision-based workloads.
Develop system-level components: resource management, scheduling, IPC, memory optimization, and performance profiling.
Work closely with hardware, AI, and system architects to enable efficient and scalable execution of AI models on edge devices.
Optimize software performance across heterogeneous computing units (CPU, GPU, NPU, DSP).
Contribute to system bring-up, debugging, and optimization on custom SoCs.
Stay updated with the latest advances in system software, real-time computing, and AI infrastructure.

We are looking for an experienced engineer, to help us develop our cutting-edge semiconductor platform.
Youll have the opportunity to join a top-tier, agile, fast-paced team, and take part in the development of the technology that powers the worlds largest cloud provider.
Our Web Services offers a highly reliable, scalable, low-cost cloud platform that enables hundreds of thousands of businesses in 190 countries around the world.
We are looking for talented people to join the Chip Design team in TLV, working on the Nitro product line.

Key job responsibilities:
Full ownership of one or more IPs within the product:
- Micro-architecture.
- RTL coding and debug.
- Synthesis and timing closure.
- Sign-off.
Supporting the Verification and Emulation teams:
- Test plan.
- Coverage review.
Ensuring that the chip meets quality and reliability standards
Collaborating with cross-functional teams, including Product Definition, Verification, Software, and Physical design.

Required Senior Embedded Linux Software Engineer
Description
A leading AI Company in the Automotive Industry, is expanding! Following recent major design wins with leading global OEMs, we're scaling up our operations and innovation efforts. This is your chance to be part of a groundbreaking company at the forefront of automotive safety and intelligence.
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
Responsibilities
Develop real-time computational solutions for SoCs and hardware accelerators within edge devices.
Design, develop, and maintain software across a variety of microcontroller platforms.
Execute the integration of hardware components, including but not limited to sensors and cameras, through established communication protocols.
Diagnose and resolve software and hardware malfunctions within embedded systems.
Facilitate communication through CANBus and other automotive industry standards.
Continually monitor advancements in AI and embedded systems technology.

Required Senior Deep Learning Algorithm Developer- L2++ Group
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
Responsibilities
As part of the algorithm team for the next generation of autonomous driving, you will:
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g. object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains, including ground-view images and satellite/aerial images.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post processing, training and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

As a Critical Infrastructure Engineer, you will provide full life-cycle support to AWS Data Centers from design inception through site improvement and maintenance. You will be the go to engineering resource for your region when technical advice is needed, and will use your subject matter expertise and engage with diverse teams to:
- Troubleshoot, conduct Root Cause Analysis (RCA) and create Corrective Action (CA) documentation for site/equipment failures.
- Directly support operational issues with ad-hoc training, complex operating procedure reviews, including critical equipment, and event support.
- Own the conceptual design for existing data center upgrades and design-solutions, which add capacity, improve availability, and increase efficiency.
- Interface with internal data center design engineering team, server hardware team, environmental health and safety team to promote standards that maintain consistency and reliability in services delivered.
- Work on concurrent projects, sometimes in multiple geographical regions.
- Initiate and lead engineering audits including on-site visits within our owned or colo data centers. Produce reports outlining risks with recommended mitigations and remediations
- Act as resident engineer during new construction projects. Support construction, commissioning, and turnover.

Required Deep Learning Team Leader - L2 Group
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
As a Deep Learning Team Leader - L2 Group, you will be responsible for designing and implementing state-of-the-art deep learning algorithms that support our vision-based projects. You will collaborate with cross-functional teams to solve complex computer vision challenges and deliver high-quality solutions. Additionally, you will analyze and optimize neural network architectures for speed, accuracy, and robustness, and stay up-to-date with the latest research in the field to bring new ideas and techniques to the team. Your role will also include mentoring junior team members and contributing to the growth of the team's skills and capabilities.
The ideal candidate should have a strong background in deep learning, machine learning, and programming, with a proven track record of developing and deploying successful deep learning models.
Responsibilities
Develop and implement state-of-the-art deep learning algorithms for computer vision applications in the automotive industry.
Collaborate with cross-functional teams to solve complex computer vision challenges and deliver high-quality solutions.
Analyze and optimize neural network and SOC architectures for speed, accuracy, and robustness.
Stay up-to-date with the latest research in the field and bring new ideas and techniques to the team.
Mentor team members and contribute to the growth of the team's skills and capabilities.
Work with co-architect on creating new NN from scratch and leading the team technologically.

We are looking for a visionary Chief System Architect to lead the design and evolution of real-time AI infrastructures and cutting-edge vision-based systems at the edge.
This is a key executive role, reporting directly to the CEO, with broad ownership over system architecture and strategic technology development.
Responsibilities
Define and lead the architecture of our next-generation AI and real-time systems for edge deployment.
Build scalable, robust, and efficient infrastructures to support deep learning, vision, and perception models in real-world environments.
Oversee the integration of real-time computing frameworks, AI inference engines, and system-level services across heterogeneous hardware platforms.
Lead technical alignment across AI research, algorithm, hardware, and software teams to ensure seamless system design and execution.
Establish system-wide best practices for real-time performance, resource management, inter-process communication (IPC), scheduling, and fault tolerance.
Guide the selection and integration of industry-standard and proprietary real-time technologies (e.g., RTOS, ROS 2, Adaptive Autosar).
Evaluate and integrate new hardware accelerators (GPU, NPU, DSP) to optimize AI execution pipelines under strict real-time constraints.
Stay at the forefront of advancements in real-time AI, embedded vision technologies, and system design methodologies, and incorporate them into the company's technical strategy.

We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
As an algorithms developer, you'll be at the forefront of creating and optimizing advanced algorithms for autonomous driving - creating a perception for the 3d world, and performing actions to make your way in this environment. This is a hads-on role, involving machine-learning, mathematical modeling, control-theory and algorithmic solutions to a varietly of problems, all to ensure our systems perform flawlessly in real-world conditions.
Youll collaborate with cross-functional teams to decide on the correct data, create algorithms, and act as a technical expert during developement and testing. Your contributions will directly impact the abilites of our autonomous driving technologies.
Responsibilities:
As an algorithms developer, you will be responsible for:
Write algorithms to improve our 3d perception of the environment, such as computational geometry, object detection, tracking and prediction
craft new evaluation methods to measure the effect of your models
Diagnosing and solving algorithmic issues that are affecting our performance.
work with large amounts of data, taking part in data-pipeline designs
take ownership of the developement life-cycle: defining the target kpi's, developement and testing, release and integration
extract insights from large amounts of data, contributing to the developement decision making process.
Integrating algorithms with existing frameworks in collaboration with cross-functional teams.