

As a Product & Data Analyst at Orca, you will take ownership of product analytics at Orca, along with responsibility over our BI infrastructure. You will help product teams make smarter decisions by uncovering customer insights, while also ensuring the data pipelines and models that power those insights are robust and scalable.
In this role, you will work directly with Product Managers to analyze customer behavior, evaluate new features, and measure product impact. You’ll also take responsibility for the underlying data stack-writing SQL, modeling in DBT, and maintaining clean, efficient ETLs. Beyond supporting day-to-day product questions, you will build dashboards and reporting tools that give teams across the company access to reliable, self-serve insights.
About youמשרות נוספות שיכולות לעניין אותך

, Consumer services and Marketplace tools.
As a Product Analyst, you will go beyond the numbers—defining, analyzing, and translating data into actionable insights about our business, users, and product features. You’ll also design and analyze both randomized and non-randomized experiments to optimize performance.
You’ll work closely with , and stakeholders from other business units to drive key product decisions and shape the product strategy and roadmap.
Key Responsibilities

What you’ll be doing:
Enhance NVIDIA's GPU Networking offerings for accelerating AI workloads, such as NVIDIA Dynamo or NVIDIA NIXL.
Develop and evaluate new technologies, innovations relevant for scientific, Deep Learning, and data-intensive workloads.
Create proof-of-concept to evaluate and drive such new technologies.
Work on impactful projects involving state-of-the-art high-performance computing software and hardware.
Designing and implementing services, runtime systems, and applications over SDK
Partner and collaborate with other forward-thinking team members and external researchers
What we need to see:
Hold a B.Sc. or M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university.
0-2 years of industry experience (or equivalent) in system programming or related fields.
Background in algorithm design, system programming, and computer architecture.
Strong programming and software development skills.
A teammate with a can-do attitude, high energy and excellent interpersonal skills.
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
Ways to stand out from the crowd:
Proven research track record.
Experience and passion for system architecture,CPU/GPU/Memory/Storage/Networking.
Stellar communication skills.
Knowledge in Deep Learning frameworks and AI communication libraries (NCCL, UCX, MPI and equivalents).

What you’ll be doing:
Technically leading the features owns working with customers and R&D on architecture and design of the features.
Clearly define the requirements. research the hardware, firmware, and software existing support and define the solution to match the requirements he defined.
Simulations ranging from specific components to complete data center environments
Develop SDKs for novel HW capabilities
Designing and implementing services, runtime systems, and applications over SDK
Evaluate and optimize application performance
Partner and collaborate with other forward-thinking team members and external researchers
Work with intelligent networking machines powered by AI systems that can learn, reason and interact with other network components
What we need to see:
Graduate of BSc/MSc in Electrical Engineering, Computer, Science/Engineering,Math/Physics/Statisticsor a related field
0-2 years of relevant experience.
Knowledge in networking, operating systems, accelerator programming, and systems
Track record of research excellence
Good communications skills
Ways to stand out from the crowd:
Experience in networking and operation system
Knowledge or experience with LLM

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technology
What you'll be doing:
Participate in the process of bringing up a new technology from the R&D stage, to the engineering and bring-up then to the high volume manufacturing lines.
Process development using passive and active alignment techniques and machines.
Owner for process development steps in a new product assembly.
New machine development with vendors for various processes.
Documentation of work instructions after process development.
Characterizing and investigating of the compatibility of new adhesives, soldering material, packaging material, etc. , to the optical, interconnect products.
Help in the debug of failures using various methods inspection and characterization methods.
Participate in taskforces related to mass production.
What we need to see:
B.Sc. or M.Sc. in Materials Engineering / Chemical Engineering / Mechanical Engineering.
2+ years of experience as a process engineer in the semiconductor, optics, or PCB industry.
Background in both R&D and mass production processes
Experience or ability to work with programable machines for process development.
Experience of working and maintaining different vendors.
Capability of working for many hours both in the lab and in the office.
Well-organized in gathering experiments data, analysis and summary.
Good presentation skills.
Teamwork player as well as a sole worker.
High level of English (Speak, read and write, and ability to travel abroad several times in a year per demand).
Ways to stand out from a crowd:
Experience in both R&D and mass production environments.
Previous role as a process engineer in the semiconductor/optics industry.
Strong background in Materials, Optics, and Mechanics.



As a Product & Data Analyst at Orca, you will take ownership of product analytics at Orca, along with responsibility over our BI infrastructure. You will help product teams make smarter decisions by uncovering customer insights, while also ensuring the data pipelines and models that power those insights are robust and scalable.
In this role, you will work directly with Product Managers to analyze customer behavior, evaluate new features, and measure product impact. You’ll also take responsibility for the underlying data stack-writing SQL, modeling in DBT, and maintaining clean, efficient ETLs. Beyond supporting day-to-day product questions, you will build dashboards and reporting tools that give teams across the company access to reliable, self-serve insights.
About youמשרות נוספות שיכולות לעניין אותך