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Our team focuses on developing products to allow for personalizing the customers experience and providing them with real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield and large-scale engineering and science projects.

Key job responsibilities
- Own architecture and feature development for our Personalization and CV/ML teams.
- Partner with other engineers to ideate, design, and build scalable solutions.
- Utilize data science and ML to develop products that deliver great experiences for customers.
- Tackle complex technical challenges across the stack - from data pipelines to large scale services.

An exciting opportunity to join Amazon in developing its next generation products for the cloud market, working in a very team-oriented environment.
We are looking for exceptional software engineers to help develop the next generation chips based on a revolutionary architecture.
In this job you will design and develop software for functional and performance validation.

Key job responsibilities
In this role you will develop system level software, targeting chip architecture, functional correctness and performance, running on various platforms and validating chip functionality.

We are looking for an outstanding Research Team Lead with deep hands-on expertise in large-scale distributed systems, AI framework infrastructure, and performance optimization on custom accelerators. If you are a visionary technical leader, a skilled communicator, and a team builder who thrives at the frontier of systems and AI research - you're welcome on board.
What Will You Be Doing?
Lead and grow a world-class team of researchers and engineers working on distributed AI infrastructure and systems software
Architect and own the software infrastructure enabling distributed training and inference on Huawei's custom accelerator hardware (e.g., Ascend NPU)
Drive research and development on communication libraries, runtime systems, memory management, and graph execution & synchronization at scale
Optimize end-to-end performance across large-scale clusters, covering both scale-up (multi-device) and scale-out (multi-node) configurations
Design and implement high-performance communication backends and collective operations (AllReduce, AllGather, broadcast) for distributed training workloads
Collaborate cross-functionally with hardware architects, compiler teams, and framework engineers to co-design hardware-software solutions
Publish and present research findings at top international venues (NeurIPS, EuroSys, SC, MLSys, OSDI) and represent the team externally
Mentor engineers and researchers, conduct performance and growth reviews, and shape team culture and technical direction
Partner with top academic institutions and open-source communities to advance the state of the art in distributed AI systems

we are looking for a Wafer-Scale System: Computation (LLM) and Communication (NoC) Co-Design.
Responsibilities:
Conduct cutting-edge research on the co-design of communication and computation for wafer-scale systems. On the communication side, the work focuses on architecting Networks-on-Chip, providing scalable, high-bandwidth, and ultra-low-latency interconnects that efficiently span multiple dies and support fine-grained data movement. On the computation side, the research emphasizes optimizing and mapping training and inference workloads to fully exploit wafer-scale resources, improving performance, scalability, and energy efficiency through intelligent task placement and scheduling.
Investigate various aspects of system design, including:
Network-on-Chip design, further including Topology exploration, routing algorithms, and protocol/flow-control design to support high-throughput collective communication, low-latency synchronization, and efficient model/data parallelism
Expressing and Mapping LLM Parallelism to Wafer-Scale System that simplify LLM parallelism (e.g., tensor, pipeline, and data parallelism) and efficiently map training and inference workloads onto wafer-scale system

we are seeking a skilled and motivated Data Scientist. This individual will play a pivotal role in identifying key data points for collection, developing strategies to accumulate data and deriving actionable insights an anomaly based on a solid foundation of relevant know-how. Also, will also be responsible for creating, testing, and deploying scripts and methods for data collection and analysis to support decision-making. The Engineer will collaborate with cross-functional teams to identify critical data sources to determine the most effective data collection strategies, will develop automated and scalable data collection pipelines, will ensure data quality, integrity, and consistency across all sources and may use AI techniques to refine the results toward failures predictions.

we are looking for a Compilation Technology Expert.
This team will operate under a unique manner, as described below -
The environment
- Startup-like intensity
Small team
High ownership
High visibility
Merit is the essence, not titles
- Fast pace
Todays state of the art is tomorrows baseline
We aim to go beyond
- Incubator mindset
Take on hard challenges, dismantle, and regroup as novelty
- Elite technical culture
Strong experts
Strong standards
Strong execution.
Ratio beats seniority, not the other way around
- No artificial boundaries
We challenge assumptions, and question constraints, and leave no quarter
- Direct exposure to the latest and greatest AI technology
Real hardware
Real toolchains
Real large-scale AI applications
All pass through and impacted by our work
- First-principles thinking
out-of-the-box is a compromise
Do not accept that a box had to exist in the first place.

Looking for a CPU performance modeling architect to take responsibility over the performance aspects of new CPU instructions or modes of operation. The role includes but is not limited to:
Partners with lead SW and HW architects to co-invent optimal HW and SW solutions that come to address requirements. Influences the direction based on experiments and simulation data
Models CPU functionality, performance and/or power in pre-silicon simulators
Defines and runs performance experiments to aid feature definition. Such experiments can be performed on a pre-silicon simulation environment or in a real system or on a combination of both or even in combination with analytical models
Provides experimental/proof of concept for new features and implementation alternatives meeting performance constraints.
Analyzes the bottlenecks of current CPUs on workloads that reflect CPU future usages
Potentially (in the future), lead a team doing above activities
An adequately qualified candidate can also become the leader of definition for some features in addition to all the roles above.

We are looking for a highly motivated backend software engineer specializing in creating high-scale, distributed backend systems.
You must demonstrate strong software engineering skills, excellent interpersonal communication, extreme ownership, and the ability to accept and give meaningful technical feedback.
You will be responsible for designing architecture, writing correct, robust code, maintaining and improving existing functionality, and shipping new features.
You will work as part of a Scrum-Agile cross-functional team and collaborate with front-end engineers, quality engineers, product managers, and more.
The platform you help us build will scale novel functionality to millions of Plus users worldwide.
Our team strives to set the bar for real-time, high-scale, mission-critical trading systems. We want to work with people who are excited by this goal and have the talent to deliver on it.
What Youll Do - Responsibilities:
Design and build scalable, high-availability mission-critical systems and APIs
Drive the migration of large-scale, distributed trading services towards cloud-native microservices
Solve problems using distributed, asynchronous messaging
Tackle technical challenges - performance, fault-tolerance, security, and live production issues
Work closely with product, DevOps\SRE, and infrastructure teams - we practice full-cycle development where developers own and operate what they build.
Mentor Jr engineers as a Senior member of the team

We are looking for a highly motivated Web engineer who specializes in creating exceptional user experiences.
As a pivotal member and technical leader of our Infrastructure Team, you will drive the technology that enables our product teams to accelerate development and innovate at a high standard.
Our team strives to set the bar for trading Web user experience. We want to work with people who are excited by this goal and have the talent to deliver on it.
You will work alongside highly skilled developers to shape the future of our trading app, ensuring we remain at the cutting edge of web technology.
What Youll Do - Responsibilities
Drive Infrastructure & Architecture: Architect, implement, and maintain web-based client-side infrastructure to accelerate the workflows of our product web developers.
Drive Continuous Modernization: Take a leading role in significantly upgrading our application's architecture. You'll dive right into our team's current flagship projects, enabling micro-frontends and transitioning to a highly modular architecture, and help us identify what we should modernize next.
Enhance Product Quality: Redesign our mobile web applications with a strict focus on improving UI/UX, performance, and stability while enabling a modern tech stack built on a pure Single Page Application (Vue3) architecture. And yes, please bring your AI assistants along; let the robots write the boilerplate while you solve the complex architectural puzzles.
Code Excellence: Be responsible for designing architecture, writing correct, robust code, maintaining and improving existing functionality, and shipping new features.
Collaboration: Work as part of a Scrum-Agile cross-functional team and collaborate with backend engineers, quality engineers, product managers, designers, and more

The company's Software group is looking for an excellent experienced DevOps engineer to join the Software infrastructure team.
our company's software infrastructure CI Team is responsible for maintaining various CI flows and maintaining the high quality of the software and system products.
Your expertise will contribute to our ongoing intensive development process while maintaining live production.
Join us to make a difference in how the world drives!
What will your job look like?
Design, implement, and maintain CI infrastructure and automation tools to support scalable development.
Work hands-on with technologies such as Jenkins, GitLab, Kubernetes, Python, Groovy, and Bash.
Collaborate with multiple engineering teams to understand their CI/CD needs and provide high-quality solutions.
Lead technical improvements and proactively enhance system performance, scalability, and developer productivity.
Troubleshoot complex issues across infrastructure and code, and continuously drive innovation and process optimization.
Help shape a structured, collaborative, and improvement-driven engineering culture.

The company Operating System Team is looking for a highly talented Embedded SW Integration Engineer with a passion for operating systems and Linux in specific.
The team is developing the Boot and Operating System SW for our companys autonomous vehicle and smart advanced driver assist platforms.
What will your job look like?
Hands-on debugging and testing of OS and related components (Boot, HW initialization, Device drivers, Linux Kernel, User space libraries and tools & automated tests in python).
Deep understanding of the involved OS/Boot components and their integration with other SW/HW modules involving testing automation and system level validation.
Closely work with members of the Boot and OS development teams to integrate, test and automate new features, components and systems.
Release & feature management in a multi-project and multi-disciplinary environment while managing CI systems for testing coverage.

we are looking for a Software Integration Team Lead (Hands-On Technical Lead) to join our AV group and drive SW deployment and integration for our companys next-generation autonomous vehicle platforms.
This role is ideal for a strong hands-on engineer who combines deep technical expertise with natural leadership abilities, taking ownership of complex integration efforts while actively contributing to system bring-up, debugging, and validation.
The position includes a balanced mix of hands-on integration work and team leadership, driving both execution and coordination across multidisciplinary teams.
What will your job look like?
Lead a team of Software-Hardware Integrators, responsible for deployment & integration of dedicated SW & HW toward AV validation campaigns.
Lead software deployment and integration activities for our companys next-generation AV platforms across complex HW/SW environments.
Provide day-to-day technical leadership, task prioritization, and guidance to integration engineers, while remaining closely involved in execution.
Own the integration and stability of complex AV platforms composed of multiple SoCs, networking infrastructure, sensors, and embedded software stacks.
Actively perform hands-on integration, bring-up, and debugging activities across embedded Linux systems and HW/SW interfaces.
Lead investigte and resolve complex system-level issues spanning embedded software, Linux infrastructure, networking, logging platforms, and hardware interfaces.
Serve as a technical focal point for integration challenges during validation and bring-up phases.
Coordinate integration activities across software, hardware, validation, and infrastructure teams to drive system readiness.

The company Operating System Team is looking for a highly talented Embedded SW Integration Engineer with a passion for operating systems and Linux in specific.
The team is developing the Boot and Operating System SW for our companys autonomous vehicle and smart advanced driver assist platforms.
What will your job look like?
Hands-on debugging and testing of OS and related components (Boot, HW initialization, Device drivers, Linux Kernel, User space libraries and tools & automated tests in python).
Deep understanding of the involved OS/Boot components and their integration with other SW/HW modules involving testing automation and system level validation.
Closely work with members of the Boot and OS development teams to integrate, test and automate new features, components and systems.
Release & feature management in a multi-project and multi-disciplinary environment while managing CI systems for testing coverage.

we are looking for a Software Integration Team Lead (Hands-On Technical Lead) to join our AV group and drive SW deployment and integration for our companys next-generation autonomous vehicle platforms.
This role is ideal for a strong hands-on engineer who combines deep technical expertise with natural leadership abilities, taking ownership of complex integration efforts while actively contributing to system bring-up, debugging, and validation.
The position includes a balanced mix of hands-on integration work and team leadership, driving both execution and coordination across multidisciplinary teams.
What will your job look like?
Lead a team of Software-Hardware Integrators, responsible for deployment & integration of dedicated SW & HW toward AV validation campaigns.
Lead software deployment and integration activities for our companys next-generation AV platforms across complex HW/SW environments.
Provide day-to-day technical leadership, task prioritization, and guidance to integration engineers, while remaining closely involved in execution.
Own the integration and stability of complex AV platforms composed of multiple SoCs, networking infrastructure, sensors, and embedded software stacks.
Actively perform hands-on integration, bring-up, and debugging activities across embedded Linux systems and HW/SW interfaces.
Lead investigte and resolve complex system-level issues spanning embedded software, Linux infrastructure, networking, logging platforms, and hardware interfaces.
Serve as a technical focal point for integration challenges during validation and bring-up phases.
Coordinate integration activities across software, hardware, validation, and infrastructure teams to drive system readiness.