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We are looking for a curious, hands-on, and lean-thinking Robotic Vision Engineer to join our R&D team. In this role, youll take ownership of designing and optimizing the visual perception systems that power our autonomous robotic beehives.
Youll bring an ownership mindset, a can-do attitude, and a passion for learning - combining curiosity, creativity, and technical excellence to build real-world solutions that make an impact.

What Youll Do?

Translating raw visual data in a Multiview setup into precise 3D positioning for robotic movements
Fusion of vision data with other types of sensors
Using/Developing both deep learning models and classic algorithmic techniques
Testing your solutions in real-world systems and refining for accuracy and robustness

We are now looking for a Senior Chip Design Verification Engineer for the Switch Silicon group.

As a Chip Design Engineer at NVIDIA's Networking business unit, you'll join a group of passionate engineers to design and implement the next generation state of the art Switch Silicon chips. In this position, you'll make a real impact in a dynamic, technology-focused company while developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency!

What you'll be doing:
Work in a combined design and verification team which develops some of the switch silicon core units.
Build reference models, verify and simulate chip blocks/entities according to specifications.
Work closely with multiple teams within organizations such as Architecture, Micro- Architecture, and FW.

we are looking for a Software Quality Engineer.
Main Responsibilities:
Manage, planning and execution of components level and E2E system tests with documented test results.
Participate in the verification and validation testing of the current and future products.
Ownership of designing, planning, and writing verification and validation testing documentation for existing and future products/features/modules, according to requirements.
Provide effort and time estimations of testing process for existing and future products/features/modules.
Lead the maintenance and definition of SW life-cycle related tasks including documentation and other regulation related issues.
Collaborate with Development, Applications, Project Management and Customer Support team members throughout the lifecycle of a project/product.
Assist other testing engineers with testing assignments and/or training.
Participate in customer and field issues support investigation.

Were looking for an Applied Data Scientist to join one of our product squads. Youll design, build, and deploy data-driven solutions that combine machine learning, statistical methods, and SQL/rules-based decision logic to power autonomous supply chain intelligence platform. Youll work closely with data science, engineering, product, and supply chain experts and own solutions end-to-end-from problem definition to production monitoring and iteration.
Responsibilities:
Deliver data science solutions end-to-end within a product squad: problem framing → data prep/labeling → modeling → deployment support → monitoring → iteration
Build, train, and improve ML models for supply chain use cases (e.g., inventory risk prediction, demand anomalies, root-cause analysis)
Define success metrics and evaluation plans with support from senior DS/PM; run error analysis and document learnings
Work with stakeholders to create and maintain ground truth (label definitions, labeling workflows, QA checks, feedback loops)
Implement hybrid decision logic by combining ML outputs with statistical methods and SQL/rules-based logic for robustness and explainability
Analyze large, multi-source operational datasets to identify trends, anomalies, and drivers of performance
Collaborate with software engineers to productionize solutions (batch and/or real-time), including testing, logging, and basic monitoring
Monitor deployed models/rules, investigate performance issues (data quality, drift, edge cases), and iterate based on outcomes
Contribute to team practices: reproducible notebooks/code, documentation, and experiment tracking

We are looking for a Machine Learning Engineer to join our team of our advanced co-pilot product, powered by Generative AI (Gen AI). This product will revolutionize the way users interact with our software, providing real-time assistance , boosting productivity , find Interesting insights and suggest the best next action.
you will:
Lead, collaborate, and drive research in large language models to advance our product.
Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
Play a significant role in healthy cross-functional collaboration.
Working closely with the other development teams, architecture, product to create high quality deliverables.
Taking an active role in our agile processes, design reviews, brainstorming, and knowledge-sharing sessions.