לוח משרות דרושים מתכנת Python, לחיפוש זה נמצאו 177 משרות

This role sits at the intersection of AI and high-performance systems engineering, focused on solving real-world problems under strict constraints. You will work on systems where performance and reliability are critical and where improvements have a direct, measurable impact on real-world safety.

This is a senior, systems-focused role with end-to-end ownership over performance and reliability of production computer vision pipelines. You will define optimization strategies, identify bottlenecks across the system, and drive improvements under real-world constraints.

What youll do
Build and optimize real-time computer vision pipelines running on edge systems processing live maritime video streams (e.g, NVIDIA Jetson, Triton Inference Server).
Take models from research and turn them into production-ready, reliable components deployed on vessels.
Profile and improve end-to-end system performance across: multi-camera video ingestion; preprocessing; inference; postprocessing
Identify and resolve bottlenecks across CPU, GPU, memory, and pipeline coordination.
Make and justify tradeoffs between latency, accuracy, stability, and resource utilization.
Design and implement robust data and inference pipelines (video -> model -> actionable output for crew).
Develop benchmarking and evaluation workflows to measure performance end-to-end and support release gating.
Build and improve observability tools, including logging, monitoring, and debugging workflows for production systems.
Define and maintain clear interfaces between research code and production systems.
Work closely with research and backend teams to integrate new models into production systems.
Continuously improve system efficiency and reliability under hardware and runtime constraints.

We're looking for a Senior Software Engineer to join our engineering team and take real ownership of features that deliver value at enterprise scale. In this role, you'll build security solutions for GenAI and Copilots, design scalable Big Data pipelines using cutting-edge technologies, and be part of a team that thinks creatively about complex problems and delivers real technological innovation.

This is a role for engineers who like to own things end-to-end from designing a solution to delivering value while working closely with the team through open discussions, design reviews, and code reviews.

What Youll Do
Responsibilities:
Assume ownership of features and deliver value to customers.
Design scalable Big Data pipelines using cutting-edge technologies.
Deliver high-quality engineering applying common engineering principals.
Work on building GenAI & Copilots security solutions.
Think creatively about complex problems and deliver technological Innovation.
Collaborate with others via open discussions, Design Reviews and Code Reviews.

Were looking for a highly skilled Junior Offensive Security Researcher to find new attack vectors, from initial exploitation to impact in the emerging world of Agentic AI, LLMs, and their surrounding ecosystem.

This role is ideal for researchers who are passionate about breaking new ground in the growing world of AI and impacting the future landscape of our products.

What Youll Do:

Responsibilities:
Research emerging agentic technologies and uncover new exploits, attack vectors and risks. From initial exploitation to impact.
Build tooling, harnesses, and test frameworks to scale attack discovery and make research repeatable. And contribute to internal red team infrastructure.
Investigate the surrounding ecosystem, not just the model. This includes: plugins, connectors, MCP servers, orchestration frameworks, and different types of infrastructure. Mapping how weaknesses in one component can develop into full compromise.
Work with product and engineering to translate offensive findings into new defense capabilities.

We are seeking a Software Engineer to join Dashs core development team. You will design, build, and ship the platform that powers discovery, session-aware detection, policy governance, and runtime enforcement across workstations, SaaS, and cloud. You will work on scalable, low-latency services that process agent activity in real time and enforce security policies without slowing builders down. This role requires strong engineering fundamentals, a focus on system reliability, and an interest in the unique challenges of agentic security.
Responsibilities:
Design and Implement Services: Design, develop, and deploy scalable backend services and APIs for the Dash Security platform (customer and admin APIs, detection ingestion, aggregation, and control-plane services).
Build Core Features: Implement features for agent/MCP/skill discovery, session and intent-aware detection, policies, and runtime enforcement across coding agents and enterprise AI platforms.
Optimize Runtime Protection: Maintain and optimize high-throughput detection and enforcement pipelines that operate at enterprise scale (ingestion, detectors, verdicts, and policy dispatch).
Integrate with Platforms: Build and deepen integrations with coding agents, SaaS AI platforms, identity providers, EDR, SIEM, and outbound action systems to ingest telemetry and enforce controls.
Ensure Reliability: Focus on code quality, performance, monitoring, and stability through robust testing, CI/CD, and operational excellence.
Collaborate with Research: Partner with the AI Security Research team to turn findings, signatures, and heuristics into production-ready detectors and enforcement logic.
Contribute to Architecture: Participate in technical design and architectural reviews across our codebases, agents, and event-driven backend services.
Stay Current: Continuously learn and apply new technologies, development methodologies, and security best practices.

we are looking for a Data Software Engineer.
Full-stack engineer with a soft spot for geometry: build the data and product systems that power automation across frontend and backend.

we are looking for a Research Team Software Engineer.

we are looking for a Senior Software Engineer.
What you will do:
Build and evolve core backend services that orchestrate field data acquisition across distributed, real-world environments.
Design and implement asynchronous, pipeline-driven systems for real-time data ingestion, validation, and processing.
Own critical system components end-to-end, with responsibility for correctness, performance, resilience, and behavior under real production conditions.
Lead architectural decisions and technical direction, driving improvements in scalability, robustness, and long-term system clarity.
Work hands-on with live production systems developed and deployed remotely to edge devices in the field, including releases, field experiments, deep debugging, and on-call support.
Collaborate closely across disciplines - system engineering, algorithms, hardware, frontend, and operations - to deliver cohesive, end-to-end solutions.
Raise the engineering bar through high-quality code reviews, design discussions, and by shaping best practices within the team.

we are looking for a Junior AI Solutions
Engineer.
Design prompts, build automations, and ensure AI model quality in a hands-on role. Youll have creative freedom to shape innovative AI products while growing your technical skills in a fast-moving environment.
Key Responsibilities:
Prompt Creation and Automation Development: Design and refine prompts to improve the performance of AI models and develop automations by integrating various LLM models
Python & SQL Coding: Write and debug code to support the development and enhancement of our AI-driven products
QA Testing: Conduct quality assurance tests on AI models and related software to ensure reliability and accuracy
Research: Stay up to date with the latest advancements in AI and related technologies to inform product development and strategy
Collaboration: Work closely with cross-functional teams, including developers, designers, and product managers, to drive project success

Join Talk and help build one of the most advanced Enterprise Conversational AI platforms. Youll develop production-ready Voice AI and Chat AI solutions used by enterprise customers worldwide, working on real-time voice infrastructure, AI orchestration, and modern web applications.
Youll be part of a fast-moving startup environment with high ownership, working closely with Product, AI, and DevOps teams to build scalable AI-powered customer experience solutions.
Key Responsibilities:
Develop production-grade AI Voice Agents and Chat Agents.
Build scalable backend services using Python and FastAPI.
Develop modern frontend applications using React and TypeScript.
Integrate OpenAI, Azure OpenAI, Gemini, Claude, and additional AI providers.
Design scalable multi-tenant SaaS architecture.
Optimize performance, latency, scalability, and system reliability.
Participate in architecture discussions and technical planning.
Ensure high code quality through testing, code reviews, and engineering best practices.

Join our Storage Products group to develop advanced automation tools, testing infrastructure and tests for storage subsystems. You'll work with a collaborative team to build scalable lab automation, debug tools, and validation systems that ensure the excellence users expect from Apple devices. This role offers the opportunity to impact the entire design-to-implementation process while leveraging cutting-edge AI tools.
Develop version control software packages for large-scale validation labs Build lab automation infrastructure and debug tools for storage validation Design and implement test flows for storage modules and performance validation Collaborate across multiple teams to deliver innovative storage solutions Utilize advanced AI tools Work on Unix-based environment Apply deep understanding of storage behavior to real-world testing scenarios

At Infinidat, a Lenovo company, we help enterprises and service providers empower their data-driven competitive advantage at scale. We are a leading provider of enterprise-class storage solutions. The company’s software-focused architecture delivers sub-millisecond latency, full availability, and scalability with a significantly lower total cost of ownership than competing storage technologies. We are seeking a highly skilled and ambitious Python Developer to join our Infrastructure Development Team. As a Python Developer, you will play a crucial role in architecting, developing, and maintaining the core infrastructure that powers our innovative solutions. You will build applications, API backends, libraries and infrastructures which will be used by many other teams within Infinidat. These applications can range from small to large scale applications. The majority of development is in Python but some of it is in Rust and other languages.

Responsibilities:

* Design, develop, and maintain robust and scalable infrastructure solutions using Python, ensuring high performance, reliability, and security.
* Full ownership over design and implementation of our web applications, API backends or libraries.
* Be in charge of constantly improving our infrastructure.
* Experiment with new technologies, find cool new ways of doing things.

The Support Development Team builds and maintains internal applications that help Support Engineers work more effectively - automating repetitive tasks, streamlining workflows, and translating operational challenges into scalable technical solutions. As a Software Engineer on this team, you will own tools end-to-end, working closely with Support teams to understand their needs and deliver impactful solutions. The team's primary language is Python, with Go used on selected projects, Kubernetes-based infrastructure, and occasional frontend work in NextJS.

Responsibilities:

* Develop and maintain Python-based tools that enhance the efficiency and workflow of Support Engineers
* Work directly with Support Engineers to understand their challenges and translate them into actionable technical solutions
* Identify and integrate improvements into the existing tool ecosystem, continuously seeking modernization opportunities
* Troubleshoot tool-related issues and ensure minimal downtime for internal users
* Write and maintain clear documentation to support scalability, onboarding, and knowledge sharing
* Explore emerging technologies and propose innovative approaches to improve team solutions
* Contribute to Go-based projects and work within Kubernetes-based infrastructure as part of ongoing modernization

we are looking for a talented Application Security Specialist to join our team. In this role, you will take an active part in application penetration testing, threat modeling, Secure SDLC activities, and AppSec initiatives that help evaluate and improve security posture. The position includes hands-on security testing of web, mobile, API, thick client, AI/LLM integrations, and MCP-based application components, identifying and validating vulnerabilities, assessing real business impact, supporting customers with clear remediation guidance, and contributing to application security processes, tools, and best practices.
Responsibilities:
Perform hands-on application penetration testing across web, mobile, API, thick client, AI/LLM integrations, and MCP-enabled application components.
Perform threat modeling and secure design reviews to identify risks early in the development lifecycle.
Support development teams with practical remediation guidance and secure implementation recommendations.
Perform Secure Software Development Lifecycle and secure coding training for developers.
Evaluate and improve customers application security development lifecycle, including secure coding practices, vulnerability management, remediation workflows, and security gates.
Participate in client-facing discussions, including assessment scoping, finding walkthroughs, remediation alignment, and retest updates.

we are looking for a Release Engineering Intern.
As a Release Engineering Intern in our Tel Aviv office, youll help improve the systems that build, test and release software across .
The group is moving the R&D to an agent-ready CI/CD platform, aiming for up to 10x faster delivery with less manual build, test and release work.
Youll also work on our internal AI app-building platform, which lets employees create and deploy applications from natural-language prompts (Base44 style).
The team supports 600+ R&D engineers, around 1,300+ modules and 500+ service types across Java, JavaScript/TypeScript, Python and Go.

we are looking for a Software Engineering Team Lead.
You will own the AI platform across all Sedric product lines - customer-facing policy configuration, internal tooling, and the architectural decisions that determine whether we scale reliably or expensively. Your responsibilities include:
Lead an engineering team - own output, growth, and retention
Build and evolve agentic systems that make high-stakes compliance decisions at scale: 99% accuracy, low cost, high throughput
Set guardrails, change management practices, and engineering procedures that meet the expectations of tier-1 financial institutions
Own customer-facing policy workflows and internal tooling for Technical Account Managers
Partner with the Head of R&D on technical direction and hiring