דרושים » תוכנה » Embedded software engineer - WLAN FW Development (6292)

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.

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.

We are looking for a Core Database Developer (Database Internals) 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 at the center of the revolution in artificial intelligence, which is creating a hurricane of change.
We are looking for a talented Software Engineer to design, build, and optimize the core engine of our high-performance database system. This is a deep, systems-level role focused on the internal workings of a database. You will be responsible for creating the fundamental components that store, retrieve, and process data efficiently.
Key Responsibilities:
Design & Develop Database Components: Implement and enhance core database features, including the storage engine, query execution engine, and transaction manager.
Optimize Performance: Work on low-level data structures (like B-Trees or LSM-Trees), concurrency control mechanisms (MVCC), and query optimization algorithms to improve speed and efficiency.
Build the Query Engine: Develop the system that parses, plans, and executes user queries against our data structures.
Ensure Reliability: Implement mechanisms for data recovery, consistency, and durability.

we are looking for a Senior SW Engineer.
Job Description
Join a multi-disciplinary team of experts operating at the core of Speedatas software stack
Lead the design and implementation of highly efficient algorithms that maximize our performance
Develop time-critical Python components that translate database operations to performant, hardware-optimized C++
Co-design the next generation of our architecture alongside Hardware & Software engineering leads
Research state-of-the-art algorithms and techniques for data analytics and hardware acceleration
Fly high with the SW, and dive in for a byte of the HW

we are a multidisciplinary development team working on a cutting-edge autonomous driving project, at the forefront of automotive technology. the team develops complex ecus that combine multiple socs, low-level firmware, hardware, validation, and automation systems, enabling next-generation autonomous capabilities. we work closely with hardware, system, verification, and automation groups to bring up, debug, and validate advanced automotive platforms from early development stages through production. this is a highly technical, hands-on environment focused on solving real system -level challenges.
what will your job look like:
debug complex hw/fw and system -level issues in an autonomous vehicle platform
perform deep root-cause analysis across firmware, hardware, and automation systems
lead firmware bring-up, integration, and debug of ecus with multiple socs
debug and support automation systems, including lab automation and fw verification environments
analyze failures originating from automated TEST systems and distinguish between fw, hw, and TEST infrastructure issues
work closely with hw, system, validation, automation, and architecture teams
support issues from early development stages through production and field failures
contribute to firmware debug methodologies and verification strategies
provide technical leadership and mentoring when needed.

about the job
be part of a team that pushes boundaries, developing custom silicon solutions that power the future of google'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.
the ai and infrastructure team is redefining whats possible. we empower google customers with breakthrough capabilities and insights by delivering ai and infrastructure at unparalleled scale, efficiency, reliability and velocity. our customers include googlers, google cloud customers, and billions of google users worldwide. we're the driving force behind google's groundbreaking innovations, empowering the development of our cutting-edge ai models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. from software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our tpus, vertex ai for google cloud, google global networking, data center operations, systems research, and much more.
responsibilities
lead an asic subsystem and understand how it interacts with software and other asic subsystems to implement groundbreaking data center networks.
define high-performance hardware/software interfaces. write micro architecture and design specifications.
define efficient micro-architecture and block partitioning/interfaces and flows.
implement designs in systemverilog.
collaborate with software, verification, and physical design stakeholders to ensure the designs are complete and correct.

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