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We are looking for a Software Engineer to join our Core Team. This team owns and evolves our core query and indexing infrastructure, working directly on our query engine, query optimizations, indexing engines and pipeline. Youll solve deep technical problems and help shape the architecture of high-performance, complex systems.

WHAT YOU WILL DO
Design, develop, and maintain connectors to Databases and SIEMs.
Add new indexing capabilities to our indexing pipeline.
Own technical decisions end-to-end from design to production rollout.
Collaborate closely with product, infra, and data teams to align on technical direction and integration.

We're looking for a Software Engineer to join our R&D team. In this role, you'll design and build scalable, high-performance systems that bring together rich backend capabilities and intuitive frontend experiences. You'll be part of a mission-driven team, building innovative technologies that enable security teams to detect, analyze, and respond to threats faster than ever before.


WHAT YOU WILL DO
Develop and own end-to-end features across the entire stack, from backend services to frontend interfaces.
Design and implement distributed backend systems that handle massive volumes of security data in real-time.
Build modern, responsive, and accessible user interfaces using React, TypeScript, Remix, Tailwind, and Shadcn.
Architect and maintain robust APIs and data contracts between the frontend and backend.
Collaborate with product, design, and security experts to deliver impactful user facing features.
Ensure high code quality by writing comprehensive unit, integration, and E2E tests using tools like Vitest, Playwright, and React Testing Library, as well as backend testing tools
Optimize system performance, reliability, and scalability on both ends of the stack.
Take part in critical architectural discussions and influence the technical direction of the platform.

A global leader in medical-aesthetic technologies, with over 25 years of experience in energy-based devices (EBD). Over the years, we have evolved into an integrated aesthetic and wellness ecosystem that combines medical devices, injectables, diagnostics, and personalized skincare. The company operates in a dynamic, innovation-driven environment, merging advanced technology with deep clinical understanding to create holistic solutions for aesthetic clinics. Our headquarters are in Caesarea, Israel, with business operations in more than 100 countries worldwide. As part of our continued growth and innovation, we are looking for a Systems Engineer to join our multidisciplinary R&D team and play a key role in the development and integration of next-generation aesthetic platforms.
* Take part in defining system and subsystem requirements and maintain traceability from user needs to design inputs.
* Support system integration and bring-up of energy-based platforms and applicators, such as laser and diode modules, RF and ultrasound generators, cooling systems, and Embedded software.
* Contribute to risk management activities, including FMEA and hazard analysis
* Prepare and maintain design control documentation, such as specifications, DHF inputs and ECOs.
* Help prepare systems for safety and regulatory testing, such as IEC 60601 and IEC 60825 laser safety, together with developers, QA and RA.
* Investigate technical issues from production and the field, perform root cause analysis, and support CAPAs.
* Work closely with electrical, mechanical, optical, software, clinical, service, manufacturing and external subcontractor teams

We're looking for an AI Engineer to join our team. As an AI Engineer, youll be a key member of our AI team, designing, building, and deploying cutting-edge AI systems that leverage large language models (LLMs), unstructured data, and advanced ML techniques. Youll be instrumental in bringing AI from research to real-world production, delivering high-impact features that drive our security platform.

In this role, you'll have a unique opportunity to solve complex problems, work with large scale data and be part of the core team that shapes the future of AI in the company.


WHAT YOU WILL DO
Design and develop end-to-end AI solutions, from data ingestion and modeling to deployment and observability.
Build and fine-tune LLM-based applications to tackle complex cybersecurity challenges.
Own the full ML lifecycle - from ideation and experimentation to production readiness.
Collaborate with product, engineering, and security teams to turn AI research into user-facing features.
Work with large-scale unstructured data (e.g., logs, threat intel, alerts) to extract meaningful insights.
Evaluate and optimize AI system performance, scalability, and reliability.
Contribute to core architectural decisions related to AI and ML infrastructure.

The NPI Engineer will be responsible for representing Operations/Engineering and new projects and transfer products to production including the following:

OPS Project manager for New Product Introduction cross functional, following Align PLCM.
Responsible for building Product/Production file, Product documentation, BOM, jigs/tools/Fixtures design
Responsible from moving from prototype to mass production
Responsible of Design transfer process during the PLC stages.

Key Responsibilities


In this role, you will

Be responsible for the transfer of a new products from development to production.
Support International supplier and turnkey management during PLC stages
Leading Engineering changes as the prime interface in order to introduce necessary engineering/R&D changes while understanding the implications in Logistic, Testing and Production; End to end.
Writing and executing validations and writing testing requirements.
Leading FAI process to new products and responsible for the supplier quality
Involvement during design phase in connection with DFXs (Assembly process, Manufacturability etc).
Define the documentations needed in order to manufacture the products correctly (Test procedure, Assembly instruction etc)
Define and design jigs, tools and fixture to allow repetitive and robust manufacturing with mass production orientation.
Construct and maintain complex Bills of Materials (BOM) in PLM system.
Perform production line Training and accompany Prototype and NPI assembly, dry run.
Work in cross functional teams with RA, Quality and SC etc.
Investigating RCAs

We are seeking a Product Engineer to support products throughout their lifecycle, from New Product Introduction (NPI) to mass production and sustaining activities. In this role, you will work closely with R&D, Manufacturing, Quality, Supply Chain, and Operations to ensure products are reliable, manufacturable, cost-effective, and compliant with quality standards.

Key Responsibilities
Support products through NPI, production ramp-up, and sustaining engineering activities.
Lead technical investigations, aid Jigs design for manufacturing, root cause analysis, and implementation of corrective actions.
Drive Engineering Change Orders (ECOs/ECRs) and assess impact on manufacturing and supply chain.
Provide engineering support to manufacturing and resolve complex technical issues.
Manage product documentation, BOMs, and configurations in PLM/ERP systems.
Lead validation and qualification activities related to product and process changes.
Support suppliers and contract manufacturers to resolve technical challenges.
Identify opportunities for cost reduction, yield improvement, and process optimization.

Were looking for a Core Full-Stack Engineer who combines strong product instincts, deep engineering skills, and the ability to move fast without compromising on execution quality.
Youll be a primary technical driver, taking significant product modules from concept through design, architecture, implementation, and production. You wont just implement finished specifications, youll partner with product and design to shape the solution, make technical decisions, and own delivery across the entire stack.
Your work will turn complex, large-scale data into fast, intuitive products for Fortune 500 marketing teams. Youll build across the entire data and application stack-from data ingestion and ETL pipelines to scalable backend services, polished interfaces, and responsive visualizations. This role combines full-stack development with hands-on data engineering, owning how data is collected, transformed, stored, and served to make exploring datasets with billions of records feel effortless.
This is a hands-on role for someone who has driven meaningful product development in a fast-growing startup and is comfortable taking ownership before every requirement has been defined.
Responsibilities
Own complete product modules from concept to production.
Build and own production data pipelines.
Design scalable data models and APIs.
Build fast, polished, data-intensive interfaces.
Drive performance across the entire stack.
Ensure data quality and reliability.
Create reusable product foundations.
Own production reliability and safe delivery.
Lead through hands-on execution.

Were looking for a Senior Applied AI Engineer who combines deep data science expertise with the engineering skills to turn research into reliable, production-ready products.
Youll be a hands-on technical leader, owning significant AI capabilities from problem definition, academic survey, and system design through research, experimentation, deployment, and continuous improvement. Your work will span classical machine learning, large-scale data analysis, and AI agents that power brand intelligence, market research, and performance marketing.

You should have a track record of driving complex projects, not just contributing to them, and be comfortable making technical decisions, navigating ambiguity, and delivering in a fast-moving startup environment. Youll build systems that Fortune 500 marketing teams rely on to make consequential business decisions.
Responsibilities
Own AI capabilities end to end. Translate business and product needs into well-defined problems, research plans, and technical designs. Take solutions from initial exploration through production deployment and ongoing improvement.
Develop and improve our core algorithms.
Build production-grade AI agents - performance marketing, market research agents, auto-ML agents.
Turn research into maintainable software. Build reusable modules, data pipelines, and services with clear interfaces, automated tests, and robust deployment practices-not just standalone prototypes.
Own quality and performance in production. Monitor system behavior, investigate failure cases, and continuously improve accuracy, reliability, latency, and cost as usage and data volumes grow.
Drive technical decisions and execution. Choose the right approach for each problem, balancing statistical methods, classical ML, and LLM-based systems. Make explicit trade-offs between research depth, delivery speed, and operational complexity.
Provide hands-on technical leadership. Partner with product and engineering to shape priorities, lead technical initiatives, review designs and code, and mentor teammates.

We're looking for an experienced Full Stack Engineer to join our growing team and take a key role in building and shaping our web application. Youll own features end-to-end - from design and architecture through development, testing, and production - working directly with customers and stakeholders to deliver a world-class product.
What You Will Do
Own and develop our web application end to end, spanning frontend and backend, from design through production
Build rich, data-driven user interfaces and dashboards using Next.js and React
Design and implement scalable backend services and APIs that power the company platform
Work with AWS infrastructure, including RDS and ClickHouse, to deliver high-performance data-driven features
Collaborate closely with product, design, and customers to translate complex security workflows into intuitive experiences
Participate in architectural decisions and help define technical direction as an early member of the engineering team
Take full ownership and accountability for features and projects - from ideation to deployment and monitoring.

We are looking for an outstanding Software Engineer to join our Video/Multimedia Architecture & Algorithms (A&A) team - the people who build tomorrows NVENC and NVDEC, the dedicated video encode and decode engines that power streaming, cloud gaming, video conferencing and broadcast on every modern our GPU. You will be the software-craftsmanship anchor of a small Software team inside A&A. You will craft and implement the core components developed using C++ alongside Python. These components support our research and product paths. You will raise the engineering bar across the group. You will also guide research code through to the shipping NVENC/NVDEC SDK.


This is a hybrid role - 4 days per week from the office.


What You'll Be Doing:
Work closely with our Architects and Algorithms Engineers to understand the needs and build, implement and/or optimize the most elegant solutions - in modern C++ and Python
Set the bar for what good software means inside A&A: reviewing code, mentoring engineers from non-software backgrounds, and bringing the rest of the group up with you
Implement detailed, focused tweaks into the SDK and the wider video stack. These changes let researchers test new ideas without forking the world. Walk research code through to a shipping NVENC/NVDEC release when needed.
Profile and optimize critical paths in the codec stack; reach for CUDA when CPU-side optimization is not enough
Build and sharpen the small libraries, frameworks and tools the team uses every day, and make sure they are a joy to work with

We're looking for a talented and driven Pre-Sales Solutions Engineer to join our growing team. You'll be a key player in our sales motion - owning the technical relationship with prospects and working closely with our Account Executives and Account Managers to drive complex, high-value deals primarily across mid-market and enterprise segments.

What You'll Do

Lead discovery and scoping sessions alongside AEs to deeply understand prospect needs and pain points
Own end-to-end POC processes, typically spanning 1-2 months, including design sessions and technical deep-dives
Deliver compelling product demos and respond to technical inquiries from a range of stakeholders, including C-level and VP-level
Lead RFP/RFI responses and serve as the primary technical point of contact throughout the sales cycle
Collaborate cross-functionally with Support, Product, and R&D to resolve complex prospect requirements
Travel to customer sites as needed (~30%)

As a Senior DevOps Engineer, youll help turn agentic AI capabilities for diagnosing and troubleshooting network and GPU infrastructure into secure, scalable, production-ready services. This role stands out through its end-to-end ownership across cloud and customer-managed environments, close partnership with software and AI engineers, and direct influence on the reliability of NVIDIAs AI infrastructure.


What You'll Be Doing:
Own the DevOps, infrastructure, security, release, and reliability lifecycle - from development environments and CI/CD through deployment, production readiness, and sustained operations.
Build and operate Kubernetes environments and Helm-based deployments for a Python, FastAPI, Node.js, and React microservices platform across SaaS and on-premises footprints.
Engineer GitLab CI/CD pipelines with automated testing, container builds, vulnerability scanning, and versioned image and Helm chart publication through JFrog Artifactory.
Automate infrastructure provisioning, configuration, upgrades, and routine operational workflows to accelerate delivery and improve engineering productivity.
Operate PostgreSQL, Temporal workflow services, and S3-compatible object storage with disciplined capacity planning, backups, recovery testing, and safe migrations.
Strengthen release reliability through deployment validation, reduced-downtime strategies, persistent-state protection, and recovery plans for active workflows.
Deliver actionable observability and security using OpenTelemetry, Datadog/Grafana, Langfuse, secrets management, identity integration, TLS, Kubernetes RBAC, network policies, and container hardening.
Partner with software and AI engineers to troubleshoot distributed systems, investigate incidents, define reliability targets, and improve platform performance, resource efficiency, and customer outcomes.