Physicsx jobs

Data Scientist , AMXL Worldwide Science Bellevue, Washington, USA Are you passionate about applying machine learning, time series forecasting, and operations research to transform the delivery of heavy and bulky items for Amazon customers? Are you excited about working with large-scale operational data and developing models that drive real business impact? If so, the Amazon Extra Large (AMXL) Science team may be the right fit for you. AMXL is Amazon's specialized business for delivering heavy and bulky items - appliances, furniture, fitness equipment, and mattresses - with a premium customer experience that includes room-of-choice delivery, at-home installations, and assembly services. In this role, you will leverage large-scale operational data to develop and deploy predictive models and optimization solutions that solve real-world logistics and fulfillment challenges, partnering closely with scientists, engineers, and business stakeholders. Key job responsibilities Apply machine learning, statistical modeling, time series analysis, and operations research techniques to build solutions for delivery routing, capacity planning, demand forecasting, workforce scheduling, and network optimization Analyze large-scale historical and real-time operational data to surface efficiency patterns, bottlenecks, and emerging trends across the AMXL network Develop, validate, and deploy models that improve cost-to-serve and customer experience Partner with cross-functional teams to implement data-driven strategies and measure impact Build scalable, automated pipelines for data ingestion, feature engineering, model training, and validation Monitor deployed model performance and communicate results through clear reporting on key operational and business metrics A day in the life You'll be part of a small, collaborative team of scientists who move

Metrology Process Engineer Austin (Ed Bluestein, Office) posted: Posted 21 Days Ago

Principle Analog Design Engineer Shanghai (JingAn) posted: Posted Yesterday

Software Development Engineer, CreativeX New York, New York, USA The CreativeX RAPID(Real-time Ad Personalization & Insights Development) team is seeking passionate and talented MLE to join us. CreativeX is on a mission to enable brands of all sizes and categories to create, serve, measure, and optimize creative content with ease. Our team is responsible for tailoring the visual experience of ads to each context in real-time, leveraging nouvelle technologies such as latent diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and related methods. Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self-service brand advertisers. We automate the customization of product creatives with real-time catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences. Key job responsibilities - Quickly acquire knowledge of nouvelle technologies in Generative AI to solve complex problems in the Dynamic Creative Optimization (DCO) domain. - Investigate design approaches, prototype new technologies, and evaluate their technical feasibility, such as Auto ML, real-time ML serving systems. - Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models. - Develop and maintain platforms for developing, evaluating, and deploying machine learning models for real-world applications. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming

Software Development Engineer, CreativeX New York, New York, USA The CreativeX RAPID (Real-time Ad Personalization & Insights Development) team is seeking passionate and talented Machine Learning Engineer (MLE) to join us. CreativeX is on a mission to enable brands of all sizes and categories to create, serve, measure, and optimize creative content with ease. Our team is responsible for tailoring the visual experience of ads to each context in real-time, leveraging nouvelle technologies such as latent diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and related methods. Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self-service brand advertisers. We automate the customization of product creatives with real-time catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences. Key job responsibilities - Quickly acquire knowledge of nouvelle technologies in Generative AI to solve complex problems in the Dynamic Creative Optimization (DCO) domain. - Investigate design approaches, prototype new technologies, and evaluate their technical feasibility, such as Auto ML, real-time ML serving systems. - Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models. - Develop and maintain platforms for developing, evaluating, and deploying machine learning models for real-world applications. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at

Machinist (MST) - Night 2 Austin (Ed Bluestein, Manufacturing) posted: Posted 30+ Days Ago

Machine Learning Engineer, CreativeX New York, New York, USA The CreativeX RAPID (Real-time Ad Personalization & Insights Development) team is seeking passionate and talented Machine Learning Engineer to join us. CreativeX is on a mission to enable brands of all sizes and categories to create, serve, measure, and optimize creative content with ease. Our team is responsible for tailoring the visual experience of ads to each context in real-time, leveraging nouvelle technologies such as latent diffusion models, large language models (LLM), reinforced learning (RL), computer vision, and related methods. Our mission is to provide engaging, dynamically optimized creatives with low latencies both on and off Amazon for self-service brand advertisers. We automate the customization of product creatives with real-time catalog data while providing advertisers with the flexibility to customize their creatives according to their preferences. Key job responsibilities - Quickly acquire knowledge of nouvelle technologies in Generative AI to solve complex problems in the Dynamic Creative Optimization (DCO) domain. - Investigate design approaches, prototype new technologies, and evaluate their technical feasibility, such as Auto ML, real-time ML serving systems. - Collaborate with scientists to design and build data pipelines for processing massive datasets and scaling machine learning models. - Develop and maintain platforms for developing, evaluating, and deploying machine learning models for real-world applications. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least

Sr Backend Engineer ASPM ConnectX (Cortex Cloud) Office - Israel - Tel Aviv posted: Posted 30+ Days Ago

Senior UX Researcher Ireland, Limerick posted: Posted 30+ Days Ago

Senior Physical Design Engineer Pune posted: Posted 2 Days Ago

Principal Engineer - Physical Design Noida posted: Posted 29 Days Ago

Principal Physical Design Engineer 2 Locations posted: Posted 30+ Days Ago

Lead Physical Design Engineer 3 Locations posted: Posted 28 Days Ago

SDE - Robotics and Physics Simulation, Frontier AI Robotics San Francisco, California, USA In this role, you will act as the primary specialist for physics engine internals and dynamics, developing high-fidelity, vectorized simulation environments for robotics locomotion, navigation, and interaction/manipulation. You will collaborate with hardware engineers to validate robot models and partner with research scientists to ensure numerical stability and physical accuracy for Sim2Real transfer. Your work focuses on tuning solvers, optimizing collision dynamics, and performing system identification to enable the training of robust robot control policies for complex, physical interactions. Key job responsibilities * Develop and maintain the shared simulation software framework, specifically owning the physics integration, robot state management, and control layers * Develop and optimize parallelized (vectorized) physics environments for high-throughput reinforcement learning (e.g., Isaac Lab, MuJoCo) * Tune physics engine parameters (solvers, friction, restitution) to support complex contact-rich scenarios required for dexterous manipulation and agile locomotion. * Implement and validate complex robot models (URDF/MJCF) involving precise actuator and sensor modeling * Collaborate with robot engineers and scientists to perform System Identification (SysID) to minimize the Sim2Real gap About the team At Frontier AI & Robotics (FAR), we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios. What sets

Multi-Physics Simulation and Test Engineer San Diego, CA, USA; +2 more Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's 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. In this role, you will drive the integration, calibration, and verification of XR device hardware from early architecture through production. You will build simulations across acoustics, optics, and dynamics to virtualize and evaluate device performance before physical hardware exists. Additionally, you will define physical testing systems and build data analysis pipelines to characterize device performance and validate simulations. Finally, you will use both simulation and test platforms to generate high-fidelity datasets to develop AI/ML models. Your work will directly establish the calibration and verification methods to deliver performance for headsets and glasses across their lifetime. For decades, the computing revolution has reshaped our world driven by breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR team is at the forefront of the next major leap - the convergence of AI and XR. This is more than just new devices - it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.Individual pay is determined by factors including job-related skills, experience, and relevant education

Physicist Cambridge posted: Posted 3 Days Ago

Applied Physicist III San Diego, CA posted: Posted 16 Days Ago

Laboratory Technician in Physics CHE - Solothurn - Witterswil posted: Posted 4 Days Ago

Experiment Support Scientist Houston, TX posted: Posted 3 Days Ago

Applied Scientist II Sunnyvale, California, USA Amazon is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction. We are seeking a talented Applied Scientist to join our advanced robotics team, focusing on developing and applying cutting-edge simulation methodologies for advanced robotics systems. This role centers on research and development of physics-based simulation techniques, sim-to-real transfer methods, and machine learning approaches that enable rapid development, testing, and validation of robotic systems operating in complex, real-world environments. Key job responsibilities - Advance physics-based simulation fidelity for contact-rich manipulation and locomotion - Design and build high-performance simulation tools integrated into a robotics design stack - Translate research ideas into robust, verifiable data - Develop methods to quantify and reduce simulation-to-reality gaps across design, safety, and control - Architect scalable simulation solutions for rigid and deformable body dynamics - Build simulation pipelines optimized for a digital twin level of fidelity - Establish frameworks for continuous simulation improvement using real-world hardware - Collaborate with engineering, science, and safety teams on simulation requirements and validation About the team Our team

Measurement Science Lead 3 Locations posted: Posted 30+ Days Ago

Scientist – Digital Discovery: Automation & Intelligent Systems Canada - Burnaby posted: Posted 30+ Days Ago

Mechanical Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data

Software Engineer II, Annapurna Labs ML Acceleration System Software Austin, Texas, USA Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. The Machine Learning Server Software Team is looking for candidates interested in writing data-driven software for our Machine Learning servers. We build production software to initialize and monitor the most advanced machine learning acceleration servers in the world. We touch technologies including accelerator chip initialization, setting up clocks and voltages, to systems level device drivers for I2C infrastructure pervasive in the server and everything in between. Our team does not work on machine learning algorithms, but rather on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, PCIe, SPI, I2C, accelerator inner-workings are our bread and butter. Come join our team. Key job responsibilities - Member of a team responsible for the software associated with server components and integration in to EC2. - Working with the MLA Hardware, Test and Manufacturing teams to create a coordinated software package to enable both qualification as well as rapid deployment of software. - Developing software (C, C++, Python, Lua) which can be maintained, improved upon, documented, tested, and reused. A day in the life The MLA Systems Software team