דרושים » הנדסה » Cellular SW Tools & Automation Engineering Manager

The Cellular group is seeking a highly skilled Software Engineer to join our team and develop cutting-edge Automation Infrastructure for DevOps and beyond.

In this role, you will contribute to engineering efforts from design to implementation, solving complex technical challenges in multiple areas focusing on CI/CD & SW tool development

Responsibilities
In this pivotal role, your responsibilities will include:
Design, implement, and maintain CI/CD pipelines for seamless software deployment.
SW Tools development - from idea, requirements definition, the tool's design to its implementation.
Set up infrastructure processes and methodologies to increase the groups efficiency.
Automatic deployment: control and optimize configuration management (with tools such as Ansible, Puppet, or Chef).
Monitor system performance, reliability, and scalability.
Troubleshoot infrastructure and deployment issues, ensuring high availability.
Take part in the optimisation & development of our data path solution.
Working on a varied set of platforms/technologies.

Were looking for a software developer with a real passion for hardware. You enjoy the moment when code makes a physical device do something, youre comfortable standing at a lab bench, and you take a problem from a vague request to a working solution that people actually use.

Responsibilities
Design and build macOS tools and applications, primarily in Python and Swift, for hardware test setups, lab research setups, and lab automation.
Develop company-wide tools used by multiple teams for dedicated proprietary hardware research, and support them as real products with real users.
Own problems end to end: understand the need with the people at the bench, design the solution, implement, deploy, and iterate until it works in the lab.
Integrate with instruments, sensors, and custom hardware over USB, serial, Bluetooth, network, and other lab interfaces.
Build supporting infrastructure as needed: cloud dashboards, databases, data pipelines, and reporting for test and research results.
Implement algorithms and data-processing logic that turn raw measurements into usable results.
Support Windows environments when lab equipment or vendor software requires it.
Make advanced AI coding tools a core part of how you build, and help the team move faster with them.
Take part in design and code reviews, and help raise the quality and maintainability of the teams tools.

As part of our Wireless Connectivity group, you will be working on our latest products, both shipped and pre-released HW, developing tests to validate the PHY FW releases.
Youll be joining a dynamic and growing team of Firmware developers.
Youll work collaboratively with other engineering team members to develop and improve our coverage.
This positions primary focus will be creating scalable and robust test systems to support the delivery of new and existing features for a variety of our devices.

We are looking for a candidate who can take our tests and testing environment to the next level.
In this role, you will be working closely with the Wireless Connectivity Firmware engineers, providing a secure, high quality and robust regression supporting the development of firmware solutions. Targeted to increase the performance and stability of the different Wireless solutions.
You should have a strong background in tests and testing environment development, and a good knowledge and experience in Python.
Advanced problem solving and debugging skills should be a given.

Test Bluetooth (Classic and LE) features and connectivity end to end, from the application layer through the firmware, on real devices and in real-world scenarios.
Run manual and automated tests, analyze the results, and report quality status and risks.
Investigate failures and performance degradation using logs, protocol traces, and sniffer captures. Raise well-isolated, validated bugs with clear reproduction steps and supporting data.
Read and trace code in the test environment, host software, and firmware to isolate issues, and support developers with the information they need to fix them.
Improve and enhance test flows, tools, and scripts to make testing faster, more reliable, and broader in coverage. You may also take on tasks to improve the testing infrastructure, such as lab setups, test frameworks, and CI and reporting pipelines.
Learn and deeply understand new Bluetooth and wireless protocols and features, and use that knowledge to define what to test and to tell expected behavior from real bugs.
Take initiative: identify gaps, risks, and improvement opportunities on your own, and launch and drive activities from idea to completion without waiting to be asked.
Lead and influence others: align and motivate teammates and cross-functional teams, and drive issues to resolution with clear ownership and follow-through.
This is a fixed-term position, with the possibility of extension.

Our team is new, growing, and evolving quickly, and we are hiring across multiple disciplines. We work at the intersection of machine learning, hardware, and software, creating technologies that reshape how people communicate and experience the world around them in everyday life.

We are looking for someone who operates independently and leads projects, not someone who waits to be handed a task. You will be part of a development team, working closely with the central Platform Engineering group to deliver reliable cloud infrastructure, backend services, pipelines, and observability for the team's products. You will collaborate with developers and mentor other engineers along the way. This role is fully onsite.

Responsibilities
Own the CI/CD, cloud infrastructure, and operational health of your team's applications and services.
Build and operate cloud backend services, tooling, and automation in Python and Go.
Partner with the Platform Engineer to adopt shared tooling and contribute improvements back to the platform.
Design and manage cloud infrastructure as code.
Build observability (metrics, alerting, dashboards) and drive reliability and performance improvements.
Set technical direction and standards for deployment and operations within the team.

Play a part in shaping the future of human-computer interaction. We're looking for an Engineering Program Manager (EPM) to turn advanced machine learning in speech, audio and computer vision into features that ship to customers.
You'll work across ML research, data collection, silicon, FW, and the device and companion SW teams that bring these features to our customers. Your work will cover every stage, from the first dataset to the final release.

You'll own the plan for taking ML features from research to release. That covers data planning, model training and evaluation, optimization for our silicon, integration with SW teams, and release. You'll keep teams aligned, make risk visible early, and help leadership decide when model quality, performance and schedule pull in different directions. You'll be comfortable with how uncertain research is, and disciplined about delivering what ships.

Responsibilities
Own the delivery plan for ML features, from research and prototyping through integration, validation and release.
Partner with data teams to build the data strategy and plan, making sure it covers what the models need and supports program milestones: what data, at what scale and coverage, and by when.
Align model milestones with HW builds, pre-silicon validation (simulation and FPGA), and silicon bring-up, ensuring models are ready at each gate.
Lead integration with SW groups, including model handoff, interfaces, integration schedules and release timing.
Align ML teams, MLOps and data science on priorities, compute capacity and dependencies.
Track model quality, latency, memory and power against product targets, and lead trade-off decisions.
Set up model release practices: readiness gates, versioning, regression tracking and post-integration monitoring.
Summarize ML progress into clear, data-driven recommendations for leadership.

the company is known for its massive backend production. at any given moment thousands of servers are consuming 200+ billion mobile app events daily, crunching our users' data, serving requests, and communicating on a massive scale. to achieve such scale, our data & microservice architecture is built with the best and latest cutting-edge technologies such as Node.js, go, kafka, graphql, neo4j, redis, bigquery, aws, and many more
the saaslab group is part of the afos (the company operating system ) unit which owns the saas platform and control plane of the company - the foundational layer that manages users, accounts, billing, api gateway, authentication, permissions, and business integrations. saaslab's systems serve as the backbone for every product and feature at the company, handling millions of api calls daily and supporting thousands of enterprise customers worldwide.
we are looking for an exceptional team leader to lead the domain team within saaslab. the domain team owns the company's core entities - accounts, apps, and users - as well as the onboarding experience. this is a foundational domain that every other product and team at the company depends on. you will drive the technical execution and architectural evolution of these systems while ensuring their reliability and scalability as the company continues to grow.
the position requires a strong hands-on engineering leader with a solid architectural mindset, experience owning platform-level services, and the ability to balance day-to-day team leadership with long-term technical direction.
what you'll do
lead and mentor a team of engineers, fostering growth in design, architecture, and technical craft
own the domain team's systems end to end - ensuring high availability, security, and operational excellence for the core entities (accounts, apps, users) and onboarding flows that underpin every the company product
drive the design and delivery of scalable backend systems and data flows, including decoupling from legacy data stores, building a resilient domain model, and adopting modern patterns like graphql federation where relevant
work closely with product managers and cross-functional stakeholders, taking accountability for team deliveries and ensuring the team ships on time with excellent quality
stay hands-on and involved in architecture discussions, design reviews, and code reviews
lead technical initiatives, processes, and architectural decisions within the team
drive adoption of ai-powered tools and modern sdlc practices to improve team velocity and quality
be an active and engaged member of the saaslab leadership group, contributing to the unit's engineering vision, processes, and culture

we are looking for an experienced DevOps platform engineer to join our application infrastructure team.
in this role, you will design, build, and operate scalable platforms and infrastructure that enable engineering teams to develop, deploy, and run services efficiently, securely, and reliably.
you will work in a complex, large-scale production environment using aws, kubernetes, infrastructure as code, automation, observability, and ai-driven technologies.
what youll do:
design, build, and maintain application infrastructure and platforms used by engineering teams.
develop scalable, reliable, and secure infrastructure on aws.
build and improve ci/cd pipelines, deployment processes, and infrastructure automation.
manage and operate kubernetes-based production environments.
develop self-service tools and platform capabilities that improve Developer productivity and experience.
improve system reliability, availability, performance, and scalability.
define and implement best practices for infrastructure, deployments, observability, and security.
lead troubleshooting, incident investigation, and root cause analysis for complex production issues.
collaborate with r&d, security, architecture, data, and cloud teams.
evaluate and implement ai-based tools for infrastructure automation, operational efficiency, incident analysis, and Developer workflows.
develop or integrate ai agents, llm-based tools, and aiops capabilities into platform engineering processes.

Our software team is growing, and we are looking for an SRE-DevOps Engineer to be entrusted with designing, building, and maintaining the infrastructure and automation frameworks that power our development ecosystem.

Your role will encompass end-to-end CI/CD pipeline ownership, cloud and on-premise infrastructure management, and ensuring the reliability, scalability, and security of our systems. You will be the backbone that enables our engineering teams to ship fast and confidently. We value agility, so staying updated and adaptable to our evolving tech stack is inherent to the role.

Responsibilities
Design, build, and maintain CI/CD pipelines to streamline development, testing, and deployment workflows.
Automate infrastructure provisioning, configuration management, and scaling operations.
Collaborate closely with development and data teams to understand and support their infrastructure needs.
Monitor system health, reliability, and performance, and drive incident response and resolution.
Enforce security best practices across infrastructure, access management, and deployments.
Manage and optimize containerized workloads and orchestration platforms.
Maintain and improve observability frameworks including logging, monitoring, and alerting.
Evaluate and integrate new tools and technologies to continuously improve the development infrastructure.