דרושים » הנדסה » physics internship (phd students)

description
our company is a cutting-edge facility supporting computing research and development for both academia and industry. the iqcc is managed and operated by machines (qm), the global leader in computing control systems. our state-of-the-art lab includes advanced infrastructure with several dilution refrigerators and a wide array of and classical devices. we are assembling a world-class team of professionals to revolutionize the construction and control of computers, accelerating their arrival.
we are looking for a physicist with peer-reviewed scientific contributions in information science and computing, who can quickly grasp the essence of complex experiments and has a passion for solving intricate problems across the entire stack. the candidate should also possess excellent communication and interpersonal skills.
as a physicist, you will contribute to developing novel multi-qubit calibration schemes. you will work in a small multi-disciplinary team with an immediate goal to enable seamless computing over the cloud with multiple technologies. this includes enhancing the performance of the qpu, developing higher level tools and frameworks, supporting the development and optimization of the user interface, creating documentation and directly communicating with users.
key responsibilities:
actively contribute to the creation, maintenance and optimization of automated calibration graph based on machines hardware and software.
delve into deep and novel physical problems and contribute to a fast and effective solution, while driving technology forward.
contribute to adaptation of new technologies at the iqcc.
contribute to the maintenance and development of our unique calibration software.
onboard customers to the iqcc and work with them to meet their needs and materialize their research ideas.
support lab maintenance and development of the physical systems.
actively contribute to documentation to enable easy onboard process for iqcc customers.

description
we are a global leader in quantum computing control systems. through our pioneering hardware and software solutions with instruction-based quantum control, we're revolutionizing how quantum computers are built and controlled. as we stand at the forefront of exponential growth in quantum computing, we're assembling an elite team that actively shapes the evolution of quantum technology.
we're seeking an exceptional experimental physicist who combines deep quantum physics expertise with strong software engineering capabilities and interpersonal skills. in this role, you'll focus on developing and implementing automated calibration solutions for several quantum computing partners while also serving as a quantum solutions expert for our european customer base. you'll work at the intersection of quantum physics and software engineering, translating complex calibration requirements into robust automation frameworks. this position offers unprecedented exposure to diverse qubit types and quantum architectures, enabling you to create groundbreaking calibration solutions while helping customers implement quantum computing experiments. prior hands on experience on managing amo set-ups and good understanding of the underlying physics is strongly encouraged.
responsibilities
design and implement automated calibration frameworks for quantum computing systems
collaborate with the strategic partner's team to optimize calibration workflows
lead technical implementation and integration of our company solutions for customers
provide technical guidance on best practices for quantum control systems
translate complex customer requirements into actionable technical solutions
manage technical relationships with accounts throughout europe
contribute to customer education and training materials.

Required Data Researcher
Israel - Tel Aviv
About the role:
As a Data Researcher, you will own one of the companys most critical assets: the accuracy, robustness, and performance of what is widely recognized as the leading e commerce fraud decisioning system in the industry.
In this role, you are expected to think creatively and push boundaries. You will design smart logical and technical solutions to real and constantly evolving business challenges faced by some of the worlds largest and most sophisticated online retailers. Your work will operate at the intersection of deep data research, production systems, and real world impact.
You will also have exposure to key customers, working closely with them to deliver analytical insights and adapt solutions to their unique needs. This direct connection between research, product, and customer impact is a core part of the role.
You will join a high caliber, fast moving research group with a strong culture of excellence, curiosity, and ownership. We work in an informal, collaborative environment where strong opinions are welcome and great ideas move fast. The role offers meaningful growth opportunities, with clear paths toward both senior individual contributor and managerial tracks, depending on where you want to take your career.
Your work will directly shape our product, protect millions of consumers and merchants, and help define the future of trust in digital commerce.
What you'll be doing:
Invent, design, implement, and continuously refine the core decisioning logic and models that run in our live production systems
Research complex fraud patterns, adversarial behaviors, and emerging global threats at scale
Leverage rich and diverse datasets to generate actionable insights, build new system components, and advance feature engineering efforts
Develop, prototype, and automate tools and processes that improve the accuracy, scalability, and efficiency of our systems
Collaborate closely with Data Scientists, Analysts, Researchers, and Engineers to build the next generation of our AI driven technology.

be part of a team that pushes boundaries, developing custom silicon solutions that power the future of direct-to-consumer products. you'll contribute to the innovation behind products loved by millions worldwide. your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
as a SOC physical design engineer, you will collaborate with functional design, design for testing (dft), architecture, and packaging engineers. additionally, you will solve technical problems with micro-architecture and logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind.the ai and infrastructure team is redefining whats possible. we empower customers with breakthrough capabilities and insights by delivering ai and infrastructure at unparalleled scale, efficiency, reliability and velocity. our customers include , cloud customers, and billions of our  users worldwide. we're the driving team behind our groundbreaking innovations, empowering the development of our cutting-edge ai models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. from software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our tpus, vertex ai for cloud, global networking, data center operations, systems research, and much more.
responsibilities
define and drive the implementation of physical design methodologies.
take ownership of one or more physical design partitions or top level.
drive to the closure of timing and power consumption of the design.
contribute to design methodology, libraries, and code review.
define the physical design related rule sets for the functional design engineers.

We are looking for a Senior Data Scientist to lead strategic research initiatives focusing on our Auto loans asset class. This individual will be at the forefront of research, working hands-on to advance our models while also mentoring and collaborating with data scientists across the department.
Responsiilities:
Spearhead strategic research of new cutting edge Machine Learning models
Mentor and advise data scientists.
Design solutions for the companys core mission using Data Science methodologies from various domains
Work in a short life-cycle research and development environment
Generate and test working hypotheses in unexplored territory

We are looking for an algorithm researcher to join our team and play a pivotal role in contributing to the company's on-going success.
What you will do:
End to end research, development and deployment of high frequency trading algorithms consisting of:
Creative thinking, performing research and literature review
Explore and design innovative and novel ideas in the fields of machine learning, statistics and signal processing
Development and application of trading algos in a highly competitive real time environment
Enjoy a very short development cycle from concept to live trading
Collaboration with other researchers / developers

we are seeking a highly motivated senior architect for high speed optical systems to join our team of experts and help build the future of high-performance computing. our next-generation infiniband, nvl and ethernet switches will be at the forefront of connecting and powering the world's most advanced compute clusters, from supercomputers used in ai research to high-performance clusters used in vast industries. you will work on some of the most groundbreaking technology as an architect for high-speed optical networks at nvidia. you will help develop next-generation switches and optic engine. the products you'll develop will be coordinated in many groundbreaking compute clusters, and supercomputers, and you'll be part of a team with a strong track record of success.
what you'll be doing:
collaborate with cross-functional teams, including other architecture teams, logic design, system software, firmware, and hardware teams, to ensure the successful execution of the project optimizing rack-to-rack connectivity and fiber routing.
crafting and architecting advanced ultra-fast fiber optic connectivity solutions for nvidia systems.
leading the development and implementation of optic systems to ensure world-class performance and reliability.
analyzing and determining the best approaches for integrating complex optic systems within our infrastructure.
define the optics engine architecture with taking into consideration the system requirement and limitation influencing on the optical engine feature set and technology.
successfully implementing and managing projects to meet ambitious deadlines and performance targets.

Required Algo Researcher
Tel Aviv
We are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
As an Algorithms Researcher, you'll join a team that explores the vast collection of relevant data and creates the optimization algorithms that drive our mass scale, complex, multi-dimensional automated dispatch.
What You'll Do:
Mathematically model the competing demands on our system.
Develop online algorithms for real-time decision-making, focusing on optimizing system utilization while maintaining a high quality of service for riders.
Design and implement highly efficient and scalable algorithmic solutions to power decision-making systems under large-scale, real-world operational demands.
Use sophisticated statistical methods to analyze demand, traffic and fleet performance, and generate insights that inform algorithm development.

We are looking for a Quant Algorithms Developer to join our research team and play a pivotal role in contributing to the company's ongoing success
What you will do:
End-to-end development and deployment of high-frequency trading algorithms consisting of:
Creative thinking, performing research and literature review
Conceiving innovative and novel ideas in the fields of machine learning, statistics, and signal processing
Development and application of trading algos in a highly competitive real-time environment
Collaboration with other researchers/developers

in this role, you will help build socs by driving quality and reliability processes from the integrated circuit (ic) perspective. working with various cross-functional teams, you will develop quality and reliability specifications, develop and deploy design guidelines, and develop and execute TEST plans. within the larger organization, you will collaborate with global hardware quality and reliability, silicon design, validation, and engineering teams. you will have an understanding of ic flows, wafer processing, testing, qualification, yield, reliability, and failure analysis.the ml, systems, & cloud ai (msca) organization at google designs, implements, and manages the hardware, software, Machine Learning, and systems infrastructure for all google services (search, youtube, etc.) and google cloud. our end users are googlers, cloud customers and the billions of people who use google services around the world. we prioritize security, efficiency, and reliability across everything we do - from developing our latest tpus to running a global network, while driving towards shaping the future of hyperscale computing. our global impact spans software and hardware, including google clouds vertex ai, the leading ai platform for bringing gemini models to enterprise customers.
responsibilities
define and lead qualification hardware and TEST developments in front of internal teams and external vendors.
define and execute silicon and package qualification activities (e.g., htol, elfr, esd/lu, b/hast, thb, etc.).
extract, manipulate, and analyze large volumes of data from silicon and package qualification programs (e.g., htol, elfr, esd, lu, uhast, tct, etc.), high volume mfg, and field returns to identify failure mechanisms, reliability trends, and opportunities for yield, quality, and reliability improvement.
own cross-functional investigation of ic quality and reliability issues to identify root causes and develop solutions (e.g., rma triage, analytics, failure analysis, etc.).
develop and implement physics-based statistical quality and reliability models (e.g., elf, tddb, nbti, hci, time zero failures, etc.) to predict silicon device failure mechanisms, degradation patterns, and lifetime behaviors.