דרושים » תוכנה » Software Engineer- New college Grad

We are looking for a QA Automation 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.
Requirements
Develop Testing & Automation SW tools from the ground up, interfacing to various systems and tests (Python-based).
Work closely with developers to create and maintain a state of the art system tests
Define, develop and execute testing plans with deep system knowledge and understanding.

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.

about the job
our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. our products need to handle information at massive scale, and extend well beyond web search. we're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data Storage, security, artificial intelligence, Natural Language Processing, UI design and mobile; the list goes on and is growing every day. as a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. we need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the Full-Stack as we continue to push technology forward.
in our company search, we're reimagining what it means to search for information - any way and anywhere. to do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. in joining the search team, you'll have an opportunity to make an impact on billions of people globally.
responsibilities
create new features and transition them into stable, production-ready systems for the windows our company app.
review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
partner closely with product managers, UX designers, and others to define technical requirements and drive the product roadmap forward.

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 the world leader in automotive and driving assistance systems, developing the world's most advanced software technologies and hardware architectures.
our group is located in haifa and is responsible for enabling the deep learning and computer vision algorithms on the platform. the technology we develop enables state-of-the-art deep neural networks to run efficiently in vehicles - contributing to saving lives and enabling autonomous vehicles. this is an exciting opportunity to work with highly talented engineers and be a part of a product with a lot of innovation and work on cutting-edge compiler and optimization technologies in the ai domain.
what will your job look like?
shape our product by applying cutting-edge deep learning network optimization techniques and will have the chance to influence future generations of our hardware and software
develop a deep learning compiler stack that takes neural network descriptions created in frameworks such as tensorflow and pytorch and converts them into code suitable for execution on custom-built our hardware
use state-of-the-art open-source technologies such as mlir and work closely with the open-source community
develop optimized implementations of a variety of neural-network operations and new optimization techniques and algorithms to efficiently map ml models onto our state-of-the-art systems
develop a toolchain that will provide a quantum leap in deep learning capabilities 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

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 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.

Were looking for an experienced SW Team Manager to join our Simulators Team, where you'll lead the design and development of our hardware simulators - functional and performance models that serve as the source of truth, drive architectural exploration and compiler optimization.
Our simulators model diverse cores within a cutting-edge SoC designed to accelerate Big Data and Database Analytics.
You will collaborate closely with hardware and software teams, contributing to co-design efforts that influence architecture, tooling, and system-level behaviour.
Responsibilities:
Lead & grow a team of experienced engineers
Develop new hardware simulators and continue evolving existing one.
Collaborate with Architecture, VLSI, and Software teams to drive co-design initiatives.
Provide insights that influence chip architecture, compiler optimization, and system-level performance.
Develop tools that drive the chip development cycle.