דרושים » ניהול ביניים » Embedded Software Engineer

Were looking for a talented Embedded SW Engineer to join our innovative team. As a member of our team, you will be responsible to innovate, design and implement embedded software in C/C++ for our chipset.
Responsibilities
Design, implement and optimize the embedded software driving our chipset (drivers, middleware and application layer)
Collaborate with System architecture and Hardware groups to deliver quality system solutions
Optimize code for memory usage, performance, and power efficiency
Ensure compliance with Safety and Industry standards
Requirements

we are looking for a Senior Software Engineer.
The 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.

We are seeking a highly motivated Software Engineer with expertise in embedded software development to join our Data Processing Unit (DPU) Software Group. We are looking for a candidate with the ability to thrive in an environment with sophisticated software and hardware designs, take ownership and lead the SW development of key components of the DPU. The role includes working closely with HW, FW, and SW teams all over the world, and take our product to next level.

What youll be doing:

Design and develop high performance networking solutions based on our outstanding Bluefield networking cards hardware

Engage closely with customers and partners.

Collaborate with multiple teams in our multi-functional environment on developing new features/improvements.

Stay up to date with industry best practices, new technologies, and emerging trends in software verification.

Write fast, effective, maintainable, reliable and well documented code.

Innovate! Bring our DPU products to shine in customer's view.

The Data Path HAL team is looking for an experienced Embedded Software Engineer, 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.

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.

We are excited to announce that the Silicon One team is undergoing rapid growth, and we are looking for a Senior C++ Software Developer.
Meet the Team
Join the Silicon One team developing a unified silicon architecture for web-scale and service provider networks. Our silicon team provides an outstanding, unique experience for ASIC and Software engineers by combining the resources offered by a sizable multi-geography silicon organization with the startup culture and breadth of growth opportunities that working in a smaller team can provide.
Your Impact:
Craft and develop software driving the world's most complex infrastructures
Gain intimate knowledge of world-class silicon and programming models
Work with architecture and design teams to define the next generation of ASIC products being developed.

We are looking for a highly skilled Real-Time C++ Engineer who embodies ambition and positivity - someone who takes ownership of complex, performance-critical problems and collaborates effectively with remote and on-site teams to meet and exceed our objectives and fulfill the evolving needs of our expanding customer base.
The Real-Time C++ component is at the core of our Quantum Orchestration Platform - it serves as the driver for the Pulse Processing Unit (PPU), our proprietary VLSI-based engine. This component is responsible for preparing, loading, and launching the execution of quantum-computing workloads, operating at extreme performance levels to maximize hardware utilization and minimize software overhead.
Responsibilities:
Develop and maintain the real-time C++ layer that drives the Pulse Processing Unit (PPU), our proprietary VLSI-based processor.
Design and implement high-performance software for preparing, loading, and launching quantum-computing workloads with minimal latency and maximal hardware utilization.
Drive relentless optimization of the software stack to minimize SW overhead in the critical path, ensuring the hardware operates at peak throughput.
Collaborate closely with VLSI, compiler, and architecture teams to ensure seamless software-hardware integration across the quantum control stack.
Contribute hands-on to the codebase - designing, implementing, reviewing, debugging, and profiling performance-critical code paths.
Uphold the team's engineering standards, code quality practices, and performance benchmarking methodologies, and help raise the bar over time.
Participate in technical planning and roadmap discussions, aligning your work with product and customer needs.

We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals.
Key Responsibilities
Design & Develop Core Components: Build, maintain, and optimize highly scalable, resilient distributed services, storage engines, or data-processing pipelines written in C/C++.
System Architecture & Resilience: Drive architectural discussions and implementations around high availability, data consistency, replication mechanisms, fault tolerance, and multi-node concurrency.
Performance Optimization: Optimize hot execution paths, low-level data structures, memory management, and I/O subsystems to guarantee high throughput and minimal latency.
Complex Debugging & Troubleshooting: Investigate and resolve intricate production issues spanning the application layer, distributed networking protocols, file systems, and operating system kernels.
End-to-End Ownership: Take full technical ownership of critical features-from ambiguous requirements and system design through implementation, rollout, and observability in production environments.
Teams
Storage Platform: Focuses on building a next-generation distributed storage platform handling petabytes of data across large clusters specifically designed to power AI, enterprise, and analytics workloads. Handling everything that touches the hardware and operating system aspects in a software defined storage system
Data Path: Focuses on engineering a highly distributed, latency-critical Hot I/O Data Path and Element Store engine. This role is responsible for the ingestion, state-of-the-art compression, encoding, and retrieval of multi-protocol data (files and objects) under massive concurrency and ultra-low latency requirements.
Database: Focuses deeply on core relational database internals, specifically designing low-level storage engines, B-Tree/LSM-Tree data structures, MVCC concurrency control, and query execution planners.
Kernel: Focuses on the lowest software layers, emphasizing Linux Kernel development and block-level storage/file system engineering.
Protocols: Focuses strictly on engineering high-concurrency data/metadata paths that replicate external AWS S3 object-storage behavior and correctness under heavy retry and failover pressure.
Cloud: Focuses on cloud-native storage deployment, adapting and scaling complex high-availability storage infrastructure across major hyper-scaler cloud environments (AWS, Azure, GCP).
Compute Kafka: Focuses on distributed event-streaming and messaging platforms, specifically building a high-scale, exactly-once broker compatible with the Apache Kafka wire protocol.

We are looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture.

Key job responsibilities
The Linux Kernel development team is looking for a talented Linux kernel expert with experience in embedded systems, to join us in building the high-end our NITRO system. Youll have the opportunity to work on the top technologies powering the worlds largest cloud provider, in a dynamic, open, fast-paced environment. As part of your role you will develop kernel drivers and share your code with the Linux community. This is a rare opportunity to develop code that runs at such a high scale, with strict reliability and security demands.

This role is a great fit for engineers who thrive on low-level, performance-sensitive problems, and want to shape the future of observability through cutting-edge kernel technology.
At our company, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What Youll Do:
Design and build core components of our zero-instrumentation APM product using eBPF and Go
Develop systems to auto-discover services, classify L7 protocols, and extract RED metrics from both plaintext and TLS traffic
Solve complex challenges around protocol parsing, encryption handling, and performance at the kernel level
Ensure broad compatibility across Linux kernel versions, distributions, and diverse customer environments
Collaborate across teams to drive technical direction, improve reliability, and scale the system for production use