לוח משרות דרושים מתכנת Python

As a Senior Python Engineer, you will play a key role in the development of our cutting-edge solutions to detect, track and mitigate drones. Your primary responsibility will be to successfully implement real-time, multi-core, and multi-threaded software tasks and continuously develop new features and capabilities for an up-to-date response to new drone models and components, while collaborating with our algorithms and radio-frequency (RF) engineers. This includes coding over a Linux platform, primarily in user space, with a rich and fully automated Continuous Integration and Continuous Deployment (CI/CD) platform. In addition, you will implement Scrum and Agile methodologies in your tasks, while taking features from the early requirement stage through design, implementation, integration, and then handing it over to our validation team.

We are looking for a highly skilled Senior Developer - Python Automation Infrastructure and testing to join our R&D Integration Automation team. This role is focused on designing, developing, and maintaining advanced automation solutions across unit, integration, system, and end-to-end testing levels.
The ideal candidate is a hands-on developer with strong expertise in Python and Pytest, experienced in building and executing automated tests, and comfortable working with modern CI/CD pipelines and automation tools. The Senior Developer will act as a technical mentor and key contributor, ensuring best practices are followed and test automation is seamlessly embedded into the development lifecycle. Knowledge of RF systems is a strong plus.
Key Responsibilities:
Design, implement, and maintain automation frameworks and test scripts using Python and Pytest.
Write unit tests, integration tests, and regression suites to ensure comprehensive test coverage.
Develop and execute system-level and end-to-end automation, including API and UI layers (Selenium preferred).
Contribute to and optimize CI/CD pipelines (Jenkins, Docker, Git) for reliable and scalable test automation.
Collaborate closely with SW developers, RF, QA, and DevOps engineers to embed automated testing into every phase of the product lifecycle.
Perform code reviews, provide technical guidance, and ensure automation code meets high quality and maintainability standards.
Analyze test results, identify root causes of failures, and drive timely resolution in partnership with development teams.
Continuously evaluate and introduce new tools, libraries, and practices to improve automation efficiency.
Support integration activities and ensure smooth interaction between hardware, software, and automation systems.

As a Data Analyst, you'll be instrumental in constructing and managing the AI rules engine, alongside pinpointing network patterns to deliver value across various domains for our clients. This role requires proficiency in deriving insights from data and conducting thorough analyses. Additionally, it offers significant autonomy for innovation and creativity, qualities we encourage in all team members. Strong teamwork and interpersonal skills are also crucial for success in this position.

Together, we can shape the future of network security.


Responsibilities:
Take a significant part in data analysis, contributing to our ever-evolving automation engine.
Research various network behaviors and patterns.
Preform data research to classify network entities based on behaviors and patterns.
Write and implement creative scripts to achieve data science-oriented goals.
Characterize and define new product features.
Work closely with Data Engineering teams to ensure the optimal solution is built in terms of logic and infrastructure.

We are looking for a highly skilled and versatile Backend Engineer with deep expertise in network protocols and on-premises deployments to join our development team. As an On-Prem Backend Engineer, you will be responsible for designing, developing, and maintaining the on-prem infrastructure that runs in customer environments, ensuring robustness, security, and performance. You will collaborate closely with cross-functional teams to deliver mission-critical components that interact directly with complex network stacks.


Responsibilities:
Design, develop, and maintain backend services deployed on-premises within customer networks.
Implement and optimize network-centric functionality, including TCP/UDP, TLS, DNS, routing, proxies, and firewalls.
Work with Linux server internals (sockets, routing tables, iptables/netfilter, namespaces, eBPF) to support resilient and secure deployments.
Ensure smooth installation, upgrade, observability, and troubleshooting of on-prem components.
Troubleshoot and resolve issues in real-world customer environments, including debugging complex network problems.

operate openshift clusters and support production deployments (upgrades, scaling, probes, autoscaling, rollouts).
manage platform integrations: routes/ingress, networking/dns, Storage, scheduling.
build and optimize gitlab ci/cd pipelines (buildtestdeploypromote; caching, parallelism, reliability).
operate and tune gitlab runners for performance and peak scale.
own vault secrets management for ci/cd and runtime (access + rotation).
improve observability and incident response (dashboards, alerts, runbooks).
enable developers with deployment standards, docs, and troubleshooting support.

yield analysis monitoring and continuous improvement for mass production lines.
troubleshooting and full root cause analysis for production matters.
maintain products quality by improving TEST stability, coverage, design, and manufacturing process.
driving task forces for product failure analysis.

develop TEST automation for nvidia networking products, which requires an understanding of hw and sw to provide stable, efficient and robust production tests, to enable high availability, while ensuring the quality of the products being shipped to customers
utilize TEST suites to find, debug and resolve problems with production process
work in multi discipline environment to provide robust solutions and drive defects to resolution
generate statistics about code quality, complexity, and coverage

were looking for a highly skilled Full Stack Developer to join our engineering team. in this role, youll design, develop, and maintain both backend and frontend systems that power mobileyes production and internal applications. youll work across teams to deliver user-facing features end to end, building scalable, high-availability solutions that support production environments and future web-based platforms. what will your job look like?
design, develop, and maintain scalable backend services primarily using Node.js (and Python where applicable), applying modern web frameworks and industry best practices.
build rich, responsive user interfaces using React, angular, or vue.
develop end-to-end features, integrating frontend and backend components into cohesive, production-ready solutions.
design and manage databases (sql and nosql), focusing on performance, reliability, and solid data modeling.
support and enhance production applications, ensuring high availability, resilience, and smooth operation across environments.
build, containerize, and deploy applications using docker and kubernetes in Linux -based setups.
implement and maintain ci/cd pipelines using gitlab ci for automated testing, integration, and deployment.
work with aws services to deploy, monitor, and scale cloud-based applications.
contribute to system architecture, participate in code reviews, and mentor junior developers when needed.
collaborate closely with product, design, and cross-functional engineering teams to deliver high-quality user experiences.

our networking product engineering team is looking for an excellent TEST development engineer. the position requires an understanding of both hw and sw to provide stable, efficient, and smoothly running production tests that enable high availability while ensuring the quality of the products being shipped to customers.
 
what youll be doing:
design and develop automated tests for networking switches and dpu adapters while working closely with the hw, asic, and sw engineering teams to achieve reliable tests with high coverage.
be exposed to various aspects of design, dft, and TEST of nvidia's next-generation network products.
take a significant part in the definition and development of tests, from early development level to the final TEST of network-systems in mass production.
work with overseas manufacturing mass production teams to increase yields, TEST coverage and capacity, and to reduce production costs.
lead TEST solution innovations to reduce TEST time and improve overall product quality.
utilize TEST suites to find, debug, and resolve problems in the production process, and drive issues to closure.
support and fix bugs in existing TEST code; support production lines for deployments, patches, and ongoing maintenance.

join our team as a senior hpc software engineer. you'll be part of the team shaping the future of computing and guaranteeing the smooth operation of our brand-new technologies. our mission is to leverage ai's power to build outstanding and pioneering solutions that have a significant impact on the world.
what you'll be doing:
own the solutions you build, collaborating with cross-functional teams to successfully implement them.
collaborate with various teams in a fast-paced environment to ensure seamless project completion.
continuously improve solution provisioning and management through automation.
detect performance issues and recommend solutions to maintain world-class service quality.
conduct capacity management and planning to meet ongoing operational needs.
participate in incident reviews, assist in root cause identification, and write rca reports.
deliver sre solutions in a globally distributed, multi-cloud hybrid environment - aws, gcp, and on-prem.
participate in the team's on-call rotation.

in this role, you will manage a team of ai/ ml engineers, lead the innovation and development the different solutions, and collaborate with cross-company teams. we are looking for an experienced, hard working manager who can collaborate effectively and has a deep technical capabilities in both ai/ml and software development.
what you'll be doing:
manage a team of 6-8 engineers
formalize the team work methodologies, collaboration, etc.
provide technical leadership, mentorship, and guidance to foster team growth.
supervise and build ai best in class solutions, including data ingestion, rag, mcps, agents, self service, and more.
be a part of an experienced team with a great atmosphere.
collaborate with cross-functional teams to identify and implement ai opportunities

you will play a key role in ensuring the reliability, stability, and release readiness of doca bluefield images powering data centers worldwide. this is a high-impact and hands-on role requiring deep Linux expertise, strong debugging and coding skills, automation leadership, and full ownership mindset across complex system stacks.
what you'll be doing:
own the bfb validation architecture and strategy - define coverage, qualification criteria, and release gates for full doca bundle deliveries.
design, develop and automate system -level tests of installation, upgrade/downgrade, recovery, and multi-version compatibility across bluefield platforms.
validate Full-Stack integration of firmware, boot flows, os services, drivers, networking stack, and doca runtime integration.
drive deep cross-layer debugging across firmware, Kernel, networking, and user-space to identify root cause and influence long-term fixes.
act as technical focal point for release readiness, providing risk assessment, regression health analysis, and clear execution signals.
continuously elevate validation methodology, improving scalability, coverage, execution efficiency, and failure triage workflows.

we are looking for a senior software engineer to join our team developing software solutions to control nvidia hw in Python on Linux for various internal engineering groups, including chip designers, algorithm engineers, phy characterization engineers, optics engineers, and other r&d teams. our work includes building and maintaining a framework, as well as developing gui tools that support complex engineering workflows. this role combines advanced software engineering with a hardware-oriented perspective - the ideal candidate should have both the interest and background in areas such as hardware, Linux systems, and low-level drivers.
collaborate with the development team to improve existing framework and tools, suggest creative solutions, and develop new projects.
in our group, software engineers are responsible for the full lifecycle of solutions - from defining requirements and designing architectures to implementation, integration, and delivery. this approach allows every team member to grow professionally, develop a broad skills, and unlock their full potential.
what youll be doing:
design, develop, and maintain Python -based software solutions (framework, internal tools, gui applications with pyqt).
collaborate with internal customers - including chip designers, algorithm engineers, optics engineers, phy characterization engineers, and other r&d teams - to understand requirements and translate them into robust solutions.
take full ownership of projects: define the solution, design the architecture, implement, integrate, and support production-ready tools.
extend existing framework and tools, while also designing and implementing new ones from scratch.
work within Linux environments, integrating software with hardware interfaces, drivers, and engineering workflows.
apply oop principles and design patterns to build scalable, maintainable software architectures.

as a senior software engineer in the doca verification team, you will play a key role in designing and developing the verification infrastructure for the nvidia doca sdk. this infrastructure is a complex system that executes thousands of tests every night across multiple hardware platforms and configurations. it includes mechanisms for error handling and fault recovery, while TEST results are stored, analyzed using advanced tools, and presented through live dashboards and reports. your expertise in building robust and efficient verification systems will be critical to ensuring the reliability and quality of our software.

you will work at the intersection of Machine Learning and software engineering - selecting the right models, feedback strategies, and evaluation frameworks to make ai-generated code reliable, high-quality, and trustworthy.
what you'll be doing:
design and build ai-powered development pipelines - from code generation and automated review to feedback loops and evaluation systems.
evaluate and select ml approaches for specific problems: when to use llm prompting vs. fine-tuning (qlora), classical ml (random forest, linear regression) vs. reinforcement learning, rag vs. structured extraction.
architect feedback and evaluation systems that measure and improve ai output quality over time.
review and refine ai solution architectures - evaluate design decisions, identify weaknesses, propose alternatives with reasoning.
lead proof-of-concept development to validate new ai/ml approaches for development tooling.
collaborate with the core team to define risk-based development levels and calibrate ai review depth per level.