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we are looking for a Senior ML Engineer.
Responsibilities:
As a Senior Machine Learning engineer at Substrata, you will be working directly with our Head of R&D and will take a major role building our Pragmatic Intelligence Engine using and experimenting with S.O.T.A Deep Learning architectures, including: Multi-Layer Perceptron Neural Network, LSTM, mLSTM, CNN, RNN, VDCNN, etc.

we are looking for a Experienced Backend Engineer.
were building a machine learning based software that helps sales and business-development professionals push the deal forward and convert more prospects into clients.
As a full-stack engineer, youll play a key role in our expanding core technology team.

We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us.



What will you do

You will join a team of experienced engineers and help them in developing our innovative Classification products.

You will lead projects by architecting, designing and implementing solutions that will impact the core components of our system.

Youll develop new and awesome features while leveraging cloud native technology stack, do continuous improvements of our development process by adapting new technologies, and using them to solve product and engineering challenges while raising the bar of code quality and standards.

What you will do
You will lead a team of experienced Data Scientists while remaining deeply involved in the technical work.

This is a hands-on leadership role (~70% hands-on) combining direct modeling work with ownership of team direction and execution.

You will work on core systems that operate at a massive scale, where:

Data is abundant, but labels are scarce and expensive

problems are long-tail and ambiguous

Systems must meet strict latency and cost constraints (pre-bid)

Your responsibilities include:

Lead development of content classification systems across social platforms (Meta, TikTok, YouTube), web, and apps

Design and build models across computer vision, NLP, and multimodal pipelines

Own the full lifecycle: data selection -> labeling strategy -> training -> evaluation -> deployment

Develop strategies for efficient data curation and labeling (active learning, auto-labeling, sampling under scale)

Improve model quality (precision/recall) while balancing cost, latency, and scale

Drive automation systems (auto-labeling, auto-curation, retraining loops)

Apply modern AI approaches (LLMs, embeddings, foundation models) to real production problems

Lead and mentor a team of senior Data Scientists, setting technical direction and pushing execution forward

Work closely with ML Engineering, Product, and Policy to translate ambiguous requirements into scalable systems

we are looking for a QA Engineer.
This position will be based in our office in Israel (Airport City), reporting to Manager QA.
The role:
Participate in testing initiatives across multiple projects within the Robotix Mentor platform
Work closely with development teams to implement testing strategies and maintain quality standards
Execute complex testing scenarios for multidisciplinary products (hardware, software, algorithms)
Create and execute detailed test plans covering software requirements and system integration
Analyze testing results, document issues, and work with development teams toward resolution

we are looking for a QA Engineer (Angio Team).
This position will be based in our office in Israel (Airport City), reporting to QA Manager.
The role:
Participate in testing initiatives across multiple projects within the Ultrasound Mentor platform
Work closely with development teams to implement testing strategies and maintain quality standards
Execute complex testing scenarios for multidisciplinary products (hardware, software, algorithms)
Create and execute detailed test plans covering software requirements and system integration
Analyze testing results, document issues, and work with development teams toward resolution

We are a global, multi-national team looking for a C++ Software Developer, who wants to join our journey of developing state-of-the-art surgical training simulators.
This position will be based in our office in Israel (Airport City), reporting to Team Leader.
Job summary:
With your C++ skills you will be creating realistic simulations in a global, distributed team.
Together with your team you will be enabling efficient training of healthcare professionals.
With our team, you will be working with leading medical manufacturers in shaping the future training of healthcare professionals.

We are looking for a Procurement Buyer to join our team and support our global supply chain and manufacturing operations.

Responsibilities:

Manage raw material purchasing requirements for the production floor based on MRP recommendations.
Collaborate with suppliers in Israel and internationally.
Issue purchase orders and manage order confirmations, reschedules, and expedites.
Participate in negotiations with internal stakeholders, including R&D, Marketing, Operations, and Production.
Maintain and update procurement data, including lead times (LT), preferred suppliers, and forecast adjustments.
Update and maintain supplier price lists.
Handle supplier non-conformance reports until replacement or credit is received.
Manage ECOs (Engineering Change Orders) and analyze their impact on procurement.
Resolve supplier invoices that do not match purchase orders.
Coordinate air and sea shipments for imported goods, focusing on cost-effective and efficient freight forwarding.
Monitor shortage reports and align supply plans with the production planning team for the next two months.

we are looking for a Planner to join their team!

In this role, you will be responsible for planning, coordinating, and monitoring production activities to ensure on-time delivery, material availability, and efficient execution of production plans.

Responsibilities

Build and manage production plans and schedules
Monitor production progress and ensure on-time delivery
Analyze MRP and manage material availability
Coordinate with Production, Purchasing, Warehouse, Engineering, and Quality teams
Support ECO/EO implementation and maintain work orders
Prepare operational reports and KPIs
Identify and resolve supply and production constraints

we are looking for a SQA Engineer to join our team!

Key Responsibilities:

Design, develop, and maintain automated tests for embedded products using C# and NUnit.
Execute manual and automated test plans, analyze results, and report defects.
Prepare and maintain test documentation, including STP, STD, and STR.
Investigate, reproduce, and track software defects through resolution.
Collaborate closely with R&D, software developers, and cross-functional teams to ensure product quality.
Participate in test planning, design reviews, and quality improvement activities.
Support continuous improvement of QA processes, methodologies, and automation frameworks.
Report to the SQA Team Leader.

As an AI Product Owner & AI Process and Agentic Designer, you will own the process of transforming complex workflows into scalable AI solutions, bridging the gap between business stakeholders and AI Engineers. You will lead business process analysis, identify agentic process opportunities, validate business value, and define solution designs that enable successful AI implementation across the organization.

Responsibilities

Business Process Analysis & Discovery
Partner with business stakeholders to map, document, and analyze existing workflows, identifying inefficiencies, bottlenecks, and manual processes ripe for automation.
Conduct discovery sessions and workshops to deeply understand business needs, pain points, and success criteria across departments.
Agentic Opportunity Identification
Evaluate workflows to pinpoint where agentic and AI-driven approaches can deliver the most value, distinguishing tasks suited to automation, augmentation, or full agentic orchestration.
Maintain a prioritized pipeline of AI/agentic opportunities, assessing each for feasibility, complexity, and impact.
Business Value Validation
Define and quantify the expected business value of proposed solutions (e.g., cost savings, time reduction, quality improvement, revenue impact) and build the business case for investment.
Establish success metrics and KPIs, and track realized value post-implementation to ensure outcomes match projections.
Solution Design & Definition
Translate business requirements into clear solution designs, including agentic process flows, decision logic, data inputs/outputs, integration points, and human-in-the-loop checkpoints.
Define guardrails, escalation paths, and fallback behaviors to ensure solutions operate safely and reliably.
Stakeholder & Engineering Bridging
Serve as the primary liaison between business stakeholders and AI engineers, translating business intent into technical requirements and engineering constraints back into business terms.
Own the product backlog, prioritize features, and clearly communicate scope, trade-offs, and timelines to all parties.
Implementation Enablement & Iteration
Guide solutions through the full lifecycle from concept to deployment, supporting testing, validation, and change management.
Gather feedback, monitor performance, and drive continuous refinement of deployed AI and agentic solutions.
Scalability & Standardization
Identify reusable patterns, components, and best practices to scale successful solutions across the organization.
Contribute to governance frameworks, documentation standards, and design principles for AI/agentic product development.

we are seeking an experienced and visionary ML Engineer to join our dynamic technology organization. The successful candidate will be a part of a team of talented AI Engineers, Building agentic AI solutions, driving innovation and delivering business value through advanced Generative AI solutions & machine learning techniques. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge Gen AI and LLM methodologies and a passion for continuous learning and development.

Responsibilities

Build the solution: Own end-to-end technical delivery of agentic systems, from source-system integration through agent design, development, evaluation, and production deployment.
Integrate AI systems with source systems (Salesforce, Databricks, Splunk, internal APIs, business applications). Handle agent harness and orchestration.
Handle the operational handover to the business function and any necessary support transition.
Collaborate across teams: Partner closely with data engineering, platform, security, and business teams to align on requirements, dependencies, and integration points.
Engage stakeholders: Gather requirements directly from business functions, communicate technical trade-offs clearly, and keep stakeholders informed on progress, risks, and timelines.
Uphold quality and reliability: Establish and maintain best practices for code quality, testing, evaluation, monitoring, and observability of deployed AI systems.
Contribute to the team's technical growth through knowledge-sharing and help shape engineering standards and reusable patterns.
Stay current: Continuously evaluate emerging Gen AI, LLM, and agentic frameworks, and recommend tools and approaches that improve delivery speed and solution quality.

Join the Front-End Design team, at the core of silicon development. Our engineers cover the full spectrum of chip design: definition, architecture, micro-architecture, RTL design, verification, signoff, and validation.
We leverage cutting-edge silicon technologies and methodologies to develop the largest-scale and most advanced devices, pushing the boundaries of whats possible.
Your Impact:
Review micro-architecture specifications
Implement Verification environment UVM based
Collaborate with Design engineers to resolve bugs and achieve coverage closure
Work with the firmware/Lab teams to verify chip flows
Perform debug, root-cause analysis, and post-silicon validation in the lab

We are looking for an experienced Design Verification engineer to join our DFT team and help establish and grow DFT DV activity in the Cisco SiliconOne DFT team. This role is relevant for engineers with experience in DV roles, either in DFT DV or in other verification domains, who are interested in becoming familiar with DFT design, verification methodologies, and the challenges of validating testability features in advanced silicon.
Your Impact:
Lead and drive DFT verification activities within the Cisco SiliconOne DFT team.
Develop verification plans, environments, checkers, assertions, and coverage models for DFT features.
Verify DFT architecture and implementation in close collaboration with DFT, design, architecture, and verification teams.
Work on verification of scan, MBIST, IJTAG/JTAG, test access mechanisms, DFT controllers, and related SoC-level test features.
Debug complex pre-silicon issues across RTL, verification environments, and DFT logic.
Contribute to scalable methodologies, reusable verification components, and best practices for DFT DV.
Help bridge between general DV methodologies and DFT-specific design and verification needs.

We are looking for an experienced Design Verification engineer to join our DFT team and help establish and grow DFT DV activity in the DFT team.
This role is relevant for engineers with experience in DV roles, either in DFT DV or in other verification domains, who are interested in becoming familiar with DFT design, verification methodologies, and the challenges of validating testability features in advanced silicon.