לוח משרות דרושים מתכנת C בתל אביב יפו

In this role, you will join a team of embedded/FW engineers focusing on system management, power, and thermal problems, working on most of products. Youll collaborate with various teams around the world (mainly in the US) from different disciplines and organizations (architects, HW engineers, chip designers, SW engineers, etc.). Youll play a key role in bringing up FW in SoCs as well as develop features for upcoming products. This role requires excellent interpersonal and collaboration skills, the ability to solve and debug complex problems, and to push forward significant projects to completion.
Description
Are you a big-picture thinker who loves setting ambitious goals?
Do you have a passion for understanding how each line of code affects all the others? Your dedication to cross-disciplinary collaboration will help develop groundbreaking technologies, such as iOS, macOS, watchOS, and tvOS.
By crafting these distinct, holistic user experiences, youll continue to uphold and advance the excellence people expect from devices. The job requires design and implement firmware for different processors in next-generation chips.
Work closely with hardware and system teams to accomplish software/hardware integration
Actively participate in the bringup of new products (might require international travel).
Debug complex system-wide issues
The people who work here have reinvented and defined entire industries with our products and services. The same passion for innovation also applies to our practices strengthening our commitment to leave the world better than we found it. You should join us if you want to help deliver the next amazing product.

We are looking for a highly motivated, fast learning researcher to focus on vulnerability research & exploitation in embedded environments.

In this roll you will acquire a deep understanding of proprietary and unique technologies.

A special opportunity to deep dive into embedded devices internals and the full understanding of functionality and design of IOT. You will also develop and utilize the knowledge acquired into the product and the production environment and provide end-to-end solutions in your domain.

We are currently seeking a talented, passionate, and experienced Senior Backend Developer to join our team. You will contribute to the development of a robust product that operates across platforms and leverages cutting-edge technologies, providing critical insights for cybersecurity operations.

Main Responsibilities:
Design and implement key software components in our flagship product.
Build and maintain a lightweight, cross-platform, high-performance agent (Rust).
Build and maintain a component that acts as a Command & Control (C&C) server written in Python, gathering data from Rust applications deployed on various platforms.
Collaborate with cross-functional teams to drive product and technical innovation.
Mentor and learn from other engineers in the team.

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.

Provide leadership and deep technical supervision to teams of engineers developing our distributed high scale cutting edge cluster.
Lead and mentor Team Leaders and Engineers to foster on time delivery, quality development, productivity, and efficiency.
Collaborate closely with cross-functional teams, including QA, product management, and support, in an agile environment.
Develop resource plans, schedules, and actively participate in cross-functional release and roadmap planning.
Engage in technical communication within the team and across other groups to ensure alignment and innovation.

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 Weka 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.

As a Senior Software Engineer on our Protocols team, youll work to take our Multi-Protocols Interface to the next level. Youll achieve this primarily by helping craft ambitious features and critical components for Wekas main product, which is a distributed data platform that provides vital services and value for our customers.

Were seeking a Team Lead to lead our Filesystem Engineering Team in Israel.

Responsibilities:

Provide leadership and deep technical supervision to engineers working on our distributed, high-scale, cutting-edge filesystem cluster.
Lead and mentor engineers to ensure on-time delivery, quality development, productivity, and efficiency.
Collaborate closely with cross-functional teams, including QA, product management, and support, in an agile environment.
Develop resource plans and schedules, and actively participate in cross-functional release and roadmap planning.
Engage in technical communication within the team and across other groups to ensure alignment and innovation.

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).

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.