We seek a passionate, software-oriented, Senior Software Engineer to join the R&D team.

You will be joining the team responsible for our autonomous systems development. You will take part in all aspects of the process - from customer needs mapping and definition, through algorithms design, prototyping, and implementation, to production, continuous deployment and support.

Responsibilities - what youll be doing:

Design and develop our robot infrastructures
Be a source of knowledge for architecture, standards & development strategies
Own code lifecycle & standards
Collaborate closely with cross-functional teams, including product, robotics, hardware engineers, and software developers, to understand system requirements and translate them into software infrastructure solutions

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.

Required Embedded 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 Perception, Navigation and Planning stack software.
Port python algorithms to high quality, safe optimal C code.
Handle memory and runtime sensitive environment.

Required Senior Embedded Engineer
About The Role;
As a Senior Embedded Engineer, you will design and develop embedded systems used by tens of thousands, focusing on performance, reliability, and real-world conditions.
This is a highly hands-on role, working across software and hardware, including testing, debugging, and running experiments in live environments. You will own solutions end-to-end, from architecture to deployment, and collaborate closely with R&D, customers, and partners.
Youll play a key role in bridging development and real-world usage, ensuring our systems perform at scale and in the field.
Key Responsibilities:
Embedded Development: Design and build embedded software for real-world, resource-constrained environments, including RTOS-based architectures and IoT modules, working alongside the cloud services that manage and automate our IoT fleet.
Field Deployment: Work hands-on with devices in customer environments, ensuring performance across real-life conditions and varying hardware setups.
Testing & Experimentation: Write tests, lead end-to-end validation from device to IoT core, and run experiments to continuously improve reliability and performance.
Debugging & Integration: Troubleshoot across hardware, firmware, and networking layers, using datasheets and technical specs to implement and optimize functionality.
Collaboration & Ownership: Own solutions end-to-end while partnering with Israel-based R&D, customers, and vendors; document key decisions, experiments, and system behavior.

Required Staff Embedded Firmware Engineer, High Speed DSP
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As a Staff Embedded Firmware Engineer for High-Speed DSP, you will architect and define the low-level firmware and control loops powering the world's most advanced physical-layer communications silicon. Sitting at the critical intersection of digital signal processing (DSP), hardware-software co-design, and real-time systems, you will lead the development of adaptive algorithms, error correction (FEC), and link-telemetry frameworks. Your work will directly bridge the gap between high-performance hardware pipelines and our planetary-scale AI infrastructure, transforming complex communication systems theory into reliable, real-time silicon execution.
Responsibilities
Define the long-term firmware roadmap and hardware-software partitioning for physical-layer interfaces, determining the optimal balance between hardware-fixed logic and programmable firmwarm.
Architect advanced "in-situ" monitoring systems and firmware-driven diagnostics to track physical-layer link health, Bit Error Rate (BER) trends, and channel quality across millions of ports in real-time.
Design, model, and implement bare-metal or RTOS firmware to control high-speed transceivers, managing real-time adaptive loops, clock and data recovery (CDR), and physical-layer calibration.
Partner with TPU Systems, Networking Software, and High-Performance Computing (HPC) teams to ensure silicon firmware integrates seamlessly with global cluster management and collective communication frameworks.
Identify and de-risk hardware-software interface bottlenecks (e.g., register maps, driver latencies, and boot-up sequencing) that impact our AI infrastructure.

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 (OS), 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 a Embedded Software Engineer.
What you'll own:
Design and implement safety-critical flight software in modern C and C++ on a hard-real-time RTOS, from driver level to application logic.
Implement the execution layer for acoustically shaped flight profiles, guaranteeing deterministic timing and jitter budgets that the acoustics team can bank on.
Build and maintain hardware-in-the-loop (HIL) test benches that exercise flight software against simulated vehicle dynamics, sensors, and actuation before anything flies.
Define and document software requirements, architecture, and verification evidence consistent with DO-178C objectives, working toward a certifiable baseline from day one.
Develop board support packages, bus interfaces (CAN, serial, deterministic Ethernet), and health-monitoring logic for flight control and actuation computers.
Profile and optimize worst-case execution time, memory usage, and task scheduling on resource-constrained flight hardware.
Support ground and flight test campaigns: instrument the software, analyze telemetry and timing logs, and close the loop on anomalies within days, not quarters.
Conduct and participate in rigorous code and design reviews, raising the bar for a small team whose code flies the aircraft.

We are looking for a Senior Software Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
We are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, We take the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless employees who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

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. Work in a team of top-of-the-line software engineers, developing state-of-the-art AI OS platform for deployment in the Cloud to serve mission-critical enterprise-level data.
Cloud software design includes:
A highly scalable distributed platform featuring complex high-availability mechanisms, and advanced APIs, interoperable with a diverse software ecosystem.
Deploying OS in all major hyper-scalers cloud vendors
Location: Tel Aviv/Haifa.

We are seeking a Software Embedded Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure. You will join teams focused on networking, machine learning acceleration, and high-performance computing (HPC), impacting millions of AWS services globally.

Cutting-Edge Technology: Work on custom silicon (e.g., Graviton, ML accelerators) and innovative networking solutions at the intersection of hardware and software.

Growth & Innovation: Benefit from AWSs resources, mentorship programs, and opportunities to publish technical content.