דרושים » הנדסה » Data Flow Compiler Engineer

At our company, we develop AI processors that push the boundaries of performance and efficiency.
Were looking for a strong C++ developer to help design and implement critical parts of our dataflow compiler the toolchain that compiles real-world AI models, including cutting-edge GenAI workloads, to run on our hardware.
In this role, youll work on graph algorithms and optimizations, resource allocation, mapping, and hardware-specific features. Youll need to dive deep into machine learning model structures and concepts, while building a strong understanding of hardware architecture memory, compute, bandwidth, and parallelism.
Expect to tackle real-world challenges, go deep into the stack, and make a direct impact on the performance and capabilities of our companys products.
Responsibilities
Design and develop a multidisciplinary system for machine learning.
Work in different SW environments: C++, Python, AI frameworks.

As part of our software group, you will play a pivotal role in developing high-performance software solutions that enable seamless interaction with our companys cutting-edge AI processors.
This role demands technical expertise, a passion for performance optimization, and an eagerness to solve complex runtime challenges. If youre excited about AI, runtime design, and performance-oriented software development, wed love to meet you!
You will have a direct impact on the efficiency and usability of our companys AI solutions, working on innovative technologies that serve customers across diverse industries.
Responsibilities
Design and implement high-performance software for interacting with our companys AI processors.
Optimize software solutions to achieve minimal CPU, memory footprint, and runtime overhead.
Collaborate with cross-functional teams, including hardware engineers and ML experts, to debug and integrate complex hardware/software systems.
Contribute to the development of APIs, frameworks, and infrastructure for efficient AI processing on edge devices.
Solve challenges in multi-threaded and resource-constrained environments.

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 work with internal system teams and the System-on-Chip (SoC) Architecture team to develop an understanding of the SoC, performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model SoC performance at different accuracy levels by supporting architectural explorations and decision-making. In addition, 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 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
Develop simulators and architectural models of general-compute SoCs.
Collaborate with system architects, SoC and IP architects/designers, and software and application experts to understand current and future requirements.
Participate in architectural and design evaluation of SoC designs.
Perform pre-silicon performance simulation and correlate with post-silicon measurements.
Communicate analysis results qualitatively and quantitatively.

We are looking for a highly technical, proactive, and creative Software Developer with strong communication skills.

You will be part of a highly professional team that designs and develops innovative features for some of the most successful Threat Prevention products in the cyber security industry. Our products run on the Quantum Check Point firewall, and the code we write is deployed across a vast number of customers!

The development spans C, C++, Golang, and Python, and utilizing various cutting-edge technologies. This is your opportunity to join a world-leading security company and make a real impact!

Key Responsibilities
Develop highly efficient and robust code to support a vast global customer base.
Utilize deep knowledge in security, networking, and out-of-the-box thinking to solve complex problems.
Design and develop infrastructure modules while debugging intricate bugs in complex scenarios.
Collaborate with development teams, QA engineers, and customers to deliver top-tier solutions for new features and bug fixes.

we are a pioneering force in clinical AI. Our clinical AI imaging solutions help physicians quickly identify and diagnose urgent cases and improve patient outcomes. We analyze and aggregate medical data to enable care teams to work seamlessly with a continued focus on the patient.
Our solutions are used in more than 1000 hospitals, including leading health systems in the US. Funded by some of the industrys leading VCs, our company has raised more than $250 million to date, and was chosen as one of TIMEs 50 most genius companies.
The AI software team is part of the AI Engineering group that is responsible for developing the different AI solutions in our company.
The Senior AI Software Engineer designs and develops the infrastructure required within the entire lifecycle of an AI algorithm. It is a critical role for the companys growth and velocity. You will work in a unique professional culture in which software engineering is a core part of making A.I. excellent.
Responsibilities
Design, develop and lead SW development of infrastructure for innovative AI algorithms for computer vision and NLP in the context of medical imaging.
Collaborate with cross-functional teams, including researchers and product managers, to drive the development of new AI products and features.
Work in a unique professional culture applying the full range of software engineering capabilities in the core parts of the A.I. systems
Develop and maintain high-quality, scalable, and efficient code.
Take initiative in exploring and adopting of new technological advances in all relevant domains (for example, scalable cloud based systems, DL and CV SW frameworks, Large scale ML systems).

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 help to develop and maintain emulation infrastructure, tools, and workflow methodologies supporting our Application-specific integrated circuit (ASIC) projects. You will provide emulation infrastructure and methodologies for supporting these projects. You will work with other emulation team members as well as designers, verification engineers, and software teams. You will work with with our external vendors, lab support teams, networking and security, and Electronic Design Automation (EDA) tooling and methodology teams to deliver emulation based prototyping capabilities for our ASIC projects. You will also assist in compiling projects specifying our prototyping platforms, debugging issues in both infrastructure and design, assisting in the hardware and lab bring up, and verification of our ASIC systems.
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
Help in maintaining and upgrading emulation infrastructure and act as a primary interface to emulation vendors.
Explore emulation methodologies, gather feedback from the team, and implement emulation workflows and methodologies.
Create tooling and automation to support emulation Electronic Design Automation (EDA) tools, licensing, and job management in our company infrastructure.
Support emulation team members with debugging hardware, tooling, and project specific issues.
Help to bring up external interfaces (e.g., USB, PCIe, Ethernet, etc.) on the emulation platforms, and create standalone test cases for tool issues encountered in the emulation compile and runtime flows.

Were seeking an outstanding Senior SW Engineer to join our team and help us develop advanced algorithms that will be executed on our hardware accelerator. This is a rare opportunity to influence the future of data processing.

Job Description:

Develop a tool that generates device code for performing database operations.

Develop in advanced Python.

Generated code is C++ style, tailored for our device.

Fly high with the SW, and dive in for a byte of the HW.

Collaborate with hardware engineers to optimize software and hardware integration for maximum performance.

Research state-of-the-art algorithms and techniques for data analytics and hardware acceleration.

We are seeking a highly skilled and motivated Hands-on Drone software expert (CTO Team Member) to join our team, working on cutting-edge drone technology.
The ideal candidate must have experience in software development for drones, with a strong focus on software development for drones or aerial systems, with a strong command of Robot Operating System (ROS), and experience with either ArduPilot or PX4 autopilot platforms.
This role requires a blend of technical excellence, creativity, independence, and the ability to integrate seamlessly into an existing team, you will be driving innovative solutions from concept to production in a fast-paced, collaborative environment
Responsibilities:
Develop and integrate software for drone systems, focusing on ArduPilot or PX4 autopilot platforms.
Work independently on innovative concepts, from ideation to implementation.
Collaborate closely with the CTO and other departments to ensure cohesive development and delivery of drone technology solutions.
Troubleshoot, test, and refine software to meet high-performance standards.
Contribute ideas and technical solutions to improve system efficiency and performance.

We are leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! We are looking for a motivated Partner Enablement Engineer to guide our key partners and customers with NCCL. Most DL/HPC applications run on large clusters with high-speed networking (Infiniband, RoCE, Ethernet). This is an outstanding opportunity to get an end to end understanding of the AI networking stack. Are you ready for to contribute to the development of innovative technologies and help realize our vision?

What you will be doing:

Engage with our partners and customers to root cause functional and performance issues reported with NCCL.

Conduct performance characterization and analysis of NCCL and DL applications on groundbreaking GPU clusters.

Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.).

Guide our customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters.

Document and conduct trainings/webinars for NCCL.

Engage with internal teams in different time zones on networking, GPUs, storage, infrastructure and support.

We are leading groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU -- our invention -- serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including artificial intelligence to autonomous cars. Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! We're seeking a Senior Software Architect to help co-design next-gen data center platforms and scalable communications software.

DL and HPC applications have a huge compute demands and already run at scales of up to tens of thousands of GPUs. GPUs are connected with high-speed interconnects (e.g. NVLink, PCIe) within a node and with high-speed networking (e.g. InfiniBand, Ethernet) across nodes. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize our vision?

What you will be doing:

Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems.

Design and implement new communication technologies to accelerate AI and HPC workloads.

Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects.

Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations.

Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs).