דרושים » תוכנה » IoT Embedded Linux Engineer

Were looking for an IoT Embedded Linux engineer to design, build, and own the software stack that powers our edge devices in the field.
Youll craft resilient Linux-based systems (from bootloader to application), ensure secure and reliable connectivity to the cloud, and work closely with hardware, manufacturing, and backend teams to deliver production-ready devices at scale.

The 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 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 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 our 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.

We are seeking a highly skilled and motivated Embedded software engineer with expertise in C / C ++ to join our WLAN FW development team. In this role, you will be responsible for designing, developing, unit testing, bug fixing, and maintaining WLAN firmware components that implement the functional aspects of WLAN features.
Responsibilities:
Develop Embedded software in C / C ++, including working in hard Real-Time systems.
Create and integrate hardware-software interfaces to ensure seamless communication with dedicated hardware.
Design and implement WLAN features using C / C ++.
Perform unit and integration testing to validate functionality and performance.

As an ML Software Engineer with a focus on low-level and CUDA-based optimizations, you will play a key role in shaping the design, performance, and scalability of machine learning inference systems. Youll work on deeply technical challenges at the intersection of GPU acceleration, systems architecture, and ML deployment.
Your expertise in CUDA, C/C++, and performance tuning will be crucial in enhancing runtime efficiency across heterogeneous computing environments. Youll collaborate with designers, researchers, and backend engineers to build production-grade ML pipelines that are optimized for latency, throughput, and memory use, contributing directly to the infrastructure powering next-generation AI products.This role is ideal for an engineer with strong systems-level thinking, deep familiarity with GPU internals, and a passion for pushing the boundaries of performance and efficiency in machine learning infrastructure.

Responsibilities
Design and implement highly optimized GPU-accelerated ML inference systems using CUDA and low-level parallelism techniques
Optimize memory, compute, and data flow to meet real-time or high-throughput constraints
Improve the performance, reliability, and observability of our inference backend across diverse compute targets (CPU/GPU)
Collaborate with cross-functional teams (including researchers, developers, and designers) to deliver efficient and scalable inference solutions
Contribute to ComfyUI and internal infrastructure to improve the usability and performance of model execution flows
Investigate performance bottlenecks at all levels of the stack-from Python to kernel-level execution
Navigate and enhance a large, complex, production-grade codebase
Drive innovation in low-level system design to support future ML workloads

In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint.

Key job responsibilities
- Design, build, test, and operate production AI features used by multiple teams and operating in our scale.
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention.
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply.

Our EyeQ Platform Group is looking for a talented Embedded SW Developer to join our Haifa team. In this role, you will be at the heart of our SoC (System on a Chip) validation, specifically responsible for theVideo Interface Unit- the "eyes" of our autonomous driving technology.
You will write high-performance, object-oriented C++ code on our proprietary validation OS, interface with low-level drivers, and take a lead role in complex board bring-up processes. If you thrive on solving "impossible" hardware-software puzzles alongside HW engineers, this is the place for you.
What will your job look like?
Design and implement robust C++ code for multi-threaded, multi-core environments running on advanced MIPS and RISC-V architectures.
Develop Video Interface drivers and frameworks, maintaining and scaling existing systems to support next-gen SoC capabilities.
Board bring-up activities and debug complex systems on our proprietary Silicon.
Utilize on-SoC scripting engines to provide flexibility and interactive SoC usage for internal and external stakeholders.

We are looking for a talented and driven Embedded software engineer with strong C / C ++ expertise to join our cutting-edge 5G software development team.
In this role, you will design, implement, TEST, and maintain RF firmware components that power key 5G features in a high-performance, Real-Time environment.
Responsibilities:
Develop Embedded software in C / C ++ for hard real&-time systems.
Design, implement, and maintain hardware-software interfaces for seamless interaction with dedicated hardware components.
Implement 5G feature functionality at the firmware level.
Perform rigorous unit and integration testing to ensure reliability, performance, and robustness.
Participate in debugging, optimization, and continuous improvement of firmware modules.

In these roles, engineers will be responsible for the design, development, and bring-up of innovative silicon and system solutions across multiple specialized teams. Responsibilities include participating in SW design sessions, providing HLD and LLD documentation, and coding complex modules that serve as the foundation for our device ecosystem. You will lead HW-SW integrations, debug complicated system-wide bugs with limited visibility, and optimize designs for performance, power, and memory footprints while meeting hard-real-time latency requirements.