דרושים » הנדסה » R&D Software Development

were looking for a bright and passionate Senior Software Engineer to join our Access Clients team. In this critical role, you will design, develop and maintain core components of our Access Clients which are used by hundreds of thousands of users worldwide, on various households and enterprise environments. You will help taking the Windows Client to the next level of functionality and stability, developing core Service functionality as well as user-facing components.

Responsibilities:

Developing core components for C++ Windows Service and applications.
Working on the cross-platform C SDK library which runs on all major operating systems.
Researching new technologies.
Taking ownership on new features and leading collaborative efforts.
Support the entire application lifecycle, including release management and supporting production.
Collaborate with quality assurance, technical support, product-management and other engineering teams to deliver integrated features.

We are seeking a passionate and innovative Senior Software Engineer with expertise in Linux services and internals to join our Cumulus Linux team. Cumulus Linux is a leading open-networking operating system and a cornerstone of the AI Factory the next-generation data center designed to power the training, fine-tuning, and deployment of AI models at scale. As part of the team, you will design and implement core features of Cumulus Linux that enable the worlds most advanced data centers. You will work closely with cross-functional architecture and design teams, shaping the future of our networking technologies while gaining hands-on experience across our hardware and software ecosystem from advanced networking ASICs to large-scale distributed systems.

What you'll be doing:

Lead the development and integration of Cumulus Linux on next-generation our switch platforms.

Design and develop new functionalities, while also maintaining and enhancing existing Linux system services.

Work collaboratively with team members, product managers, architects, QA, and other engineering teams to deliver high-quality solutions.

Innovate and rapidly develop proof-of-concept (POC) prototypes that can evolve into fully developed products or solutions.

Engage closely with customers to understand their challenges, use cases, and deployment strategies, and devise innovative solutions.

we are a fast-growing digital health SaaS company thats on a mission to transform the way physicians interact with patient data. Thousands of clinicians across the United States already use our companys AI-powered solution that transforms complex and fragmented patient data into concise patient portraits" and actionable clinical insights at the point of care. With our company, physicians experience less burnout, reduce missed diagnoses, and can devote more time giving better care to their patients.
our company has been named one of the Top 100 AI companies globally by CB Insights and made the list of the Top 50 Digital Health startups. We are already working with industry-leading value-based organizations including Privia Health and Agilon.
We're looking for talented, versatile and highly independent Machine Learning Engineers to join our winning team. You will be in charge of end-to-end development and you'll have a massive impact on the product and the technical decisions made.
The ML Engineers are part of our infrastructure group, working closely with the exceptional research team, taking trained models and scaling them out to production.
Responsibilities
Take ownership of the entire machine learning engineering lifecycle - from building scalable training and evaluation pipelines to deploying models in production, with robust monitoring and maintenance systems.
Help in creating scalable solutions by enabling us to continuously increase the accuracy of our algorithms across thousands of clinics.
Designing a secured large-scale system that is suitable for sensitive patient data.
Continue to enhancing our deep learning infrastructure to supports our AI models at scale, including CI/CD, automation, testing and monitoring.
Collaborate with the research, medical and product teams in implementing ML solutions to the digital health space.

We are looking for an excellent SW Engineer to join the InfiniBand Switch and NVLink Core FW group in Tel-Aviv / Raanana. As the team member, you will be part of a major development effort for the next-generation networking products. The verification team develops cutting-edge networking features for cloud, HPC and storage. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. Are you ready for the challenge?

What you will be doing:

As a SW Engineer, you will part of a group of firmware verification engineers, using your expertise in C++ and Python in an Agile methodology.

Develop the verification process, aligning with quality standards and project timelines.

Design and implement new features in the core of our Switch and GPUs

Drive and facilitate the planning, scheduling, and execution of the project and activities of the team

Collaborate with architecture and different software design teams as part of the software development lifecycle.

Work in pre and post-silicon development environments of next-generation networking products.

Gain a deep understanding of networking technology, system debugging and stacks, as well as the HW/FW/SW relationship.

Innovate! Bring our FW switching products to shine in customers view

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are seeking a highly motivated and skilled Release Engineer to join our AIOps group. In this role, you'll play a critical part in bridging the gap between development and operations, ensuring the seamless qualification, deployment, and monitoring of our AI algorithms and infrastructure, and be responsible for the end-to-end operationalization of our core technology.
A day in the life and how you’ll make an impact:
* Manage the end-to-end release process of machine learning algorithms and infrastructure components, from qualification through deployment.
* Validate and test new algorithm releases to ensure they meet performance, stability, and compliance standards.
* Create and execute deployment plans across various environments (staging, production), ensuring minimal risk and downtime.
* Collaborate closely with AI researchers, MLOps, and software engineers to understand release requirements, share feedback, and resolve pre-release issues.
* Identify and drive automation opportunities within the release pipeline to improve efficiency, reliability, and traceability.
* Oversee updates to infrastructure components, ensuring compatibility and performance across systems.
* Monitor deployments, proactively identify issues related to model behavior or infrastructure anomalies, and drive resolution with relevant teams.
* Maintain clear and accurate release documentation, including version history, deployment notes, and incident reports.

we are looking for a Senior Infrastructure Developer 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.
"our company's data management vision is the future of the market."- Forbes
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, our company takes 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 company ronauts 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 looking for a Software Engineer to join our Connectivity team. You'll join a cross-functional group of engineers with a critical mission: ensuring our customers can seamlessly integrate their diverse technical environments with the platform. You will be responsible for building and maintaining the essential tools and services that form the bridge between our customers' systems and our backend, enabling them to send us their event observability effortlessly.
Responsibilities
Design, build, and enhance the core integrations and tools that our customers use to send observability data to the platform.
Partner closely with Product, Engineering, and other cross-functional teams to design and implement solutions built for massive scale, capable of processing over a billion events daily.
Take full ownership of the quality and reliability of your code through comprehensive testing (unit, integration, and end-to-end), and by creating clear, thorough documentation for fellow engineers and our customers.
Partner with customer-facing teams to diagnose and resolve complex technical issues rooted in our data ingestion integrations and libraries.
Develop and maintain 300+ core integrations primarily in Python and Go that can run across cloud and containerized systems, and contribute directly to the open-source ecosystem.
You'll love this job if you:
Thrive in a fast-paced startup environment, and value taking ownership of your work.
Passionate about helping our business and customers resolve complex technical issues across our data-ingestion pipelines, integrations, and libraries.
Care deeply about crafting elegant, user-friendly solutions for complex problems.
Enjoy building the kind of developer tools you would want to use yourself.
Believe in modern software development that values rapid iteration and continuous delivery.
Passionate about the open-source community and excited about contributing to a fully open-source integrations.
Love working with collaborative, thoughtful engineers who push to grow & improve themselves and others.
Like using modern AI tools to boost your productivity and write better code.

Were looking for a bright and passionate Senior Software Engineer to join our R&D Core team. In this critical role, you will design and develop major parts of our highly scalable and high-performance solution. You would be part of engineering the backbone of a revolutionary platform, including complex networking topology and optimizations, various security features, and mobile and desktop clients.



Responsibilities:

Design, implement, and test network security enterprise solutions
Perform ongoing research and prototyping for new features and product ideas
Research new technologies and adopt them for use in the companys product

We are looking for an excellent highly motivated Senior SW Engineer with experience in embedded software development to join the software testing team in the Data Processing Unit (DPU) SW Group. We are looking for a candidate with the ability to thrive in an environment with complex software and hardware designs, take ownership and lead the SW testing 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:

Build automated verification environment for high-end hardware and software which is at the forefront of innovation.

Develop and maintain test automation frameworks and scripts using Python.

Identify, analyze, and report software defects, inconsistencies, and other quality issues.

Make better product quality by improving tests coverage.

Take an active part in development, integration and verification with R&D.

Drive improvements for performance, quality, stability around SW acceleration solutions.

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

We are looking for a Senior DevOps Engineer to join our R&D team in developing the next rising product in the health tech landscape. If you are looking for a challenging, influential position and are passionate about making an impact, this might be the role for you.

As a Senior DevOps Engineer , youll play a key role in the design, development, testing, deployment, and monitoring of our infrastructure and products. In this position, you'll make significant contributions to our observability stack, helping build and maintain robust systems for logs, metrics, traces, and alerting.

Our ideal candidate is passionate about DevOps and observability, has strong communication skills, and thrives on constant improvement for both technology and processes. If you enjoy working on multiple projects in parallel and are a proactive team player, youll fit right in.

This is a unique opportunity to join the core team of a fast-growing startup, where your contributions will have a direct impact on our product and success.

Responsibilities

Support and collaborate with cross-functional engineering teams using cutting-edge technologies.
Contribute to the design, implementation, and maintenance of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana, Loki)
Secure, scale, and manage our cloud environments (AWS and GCP)
Design and implement automation solutions for both development and production
Manage and improve our CI/CD pipelines for fast and safe delivery
Lead best practices in infrastructure, observability, configuration management, and system hardening
Continuously assess and improve existing infrastructure in line with industry standards