Village Labs jobs

HR Analyst IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli posted: Posted 25 Days Ago

Power Electronics Associate Manager IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli posted: Posted Yesterday

IT Vendor Manager IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli posted: Posted Yesterday

Associate Engineer IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli posted: Posted Today

Lead - Platform Security IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli posted: Posted 20 Days Ago

Workflow Analyst IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli posted: Posted 7 Days Ago

Senior Onapsis Admin IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli posted: Posted 21 Days Ago

Manager- Engineering IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli posted: Posted 2 Days Ago

Project Manager IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli posted: Posted 30+ Days Ago

Senior Lead Engineer IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli posted: Posted Yesterday

Lead Engineer IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli posted: Posted Yesterday

Lead Engineer IN-KA-BENGALURU-NORTHGATE ~ Sy No 2/2 Venkatala Village ~ SY NO 2/2 VENKATALA VILLAGE, Yelahanka Hobli posted: Posted 9 Days Ago

Sr. Lab Engineer, Annapurnna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within AWS) 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. Key job responsibilities As a member of the Machine Learning Acceleration team, you'll manage the organization's lab activities and develop solutions to improve lab automation. You will support the Hardware and Software Engineering teams with lab setup and maintenance, as well as work with external / internal groups in the organization, including vendors for lab equipment. In this role, you will provide technical support for product development projects in the Machine learning lab including AWS Server integration and maintenance. We are looking for candidates who thrive in a fast-paced, start-up like environment, and who can work independently to deliver multiple projects in parallel across multiple sites. To be successful you need to be hands-on, highly motivated and detailed oriented while meeting the highest standards, time to market, cost and quality goals. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your

Machine Learning Performance Engineer, Annapurna Labs Tel Aviv-Yafo, Tel Aviv, ISR Our team is responsible for the AWS Neuron software stack, which powers Generative AI and other advanced ML workloads on AWS's custom-built ML accelerators - Inferentia and Trainium. These accelerators deliver best-in-class performance and cost-efficiency for ML inference and training in the cloud. We're building a new core group of engineers in TLV (Tel Aviv) to drive innovation in ML systems performance and software. As a Machine Learning Performance Engineer, you'll help shape the direction of the team from the ground up and work on: Optimizing system performance across the entire ML software stack Analyzing high-performance ML workloads running on Annapurna hardware Developing high-performance kernels for critical ML operations Enhancing the Neuron SDK to improve developer experience and system capabilities Collaborating across Compiler, Frameworks, and Hardware teams to maximize end-to-end performance As part of the Performance Engineering Team, you'll contribute to projects involving instruction scheduling, memory management, parallelism, kernel optimization, and compiler enhancements to maximize end-to-end performance. This is a unique opportunity to be at the intersection of ML and systems within AWS, helping to build the future of AI infrastructure - right here in Tel Aviv. Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You will: Solve challenging technical problems, often ones not solved before, at every layer of the stack. Design, implement, test, deploy and maintain innovative software solutions to transform service performance,

Relationship Banker II (Village Financial Center) The Villages, FL - Villages Financial Center Branch (Ocala, FL) posted: Posted 30+ Days Ago

Software Development Engineer, Neuron Collectives, Annapurna Labs Cupertino, California, USA Annapurna Labs is an integral part of AWS and develops hardware and software components that are critical building blocks for EC2 infrastructure. We specialize in designing software, systems and chips that optimize the AWS customer experience. The AWS Neuron Collectives team is seeking a Software Engineer to optimize collective operations for AWS Trainium. Trainium is one of Amazon's highest priority initiatives, powering the frontier AI models being trained today. Collectives are the critical operations that scale AI compute across the data center. You'll work in depth to optimize compute for the specific topologies used to train modern LLMs. Working closely with the hardware team, you'll push for maximum performance using C/C++, interfacing with DMA and firmware and investigating detailed topologies. You'll analyze current collective algorithms using publicly accessible tools like Neuron Explorer and optimize these to fully utilize compute and bus bandwidth to scale across the data center. This is a unique opportunity to impact how AI training runs at AWS scale, while growing your technical breadth and depth. Key job responsibilities As a Neuron Collectives Software Developer, you will: * Enhance collective algorithms and topologies for optimal training performance * Use tools like Neuron Explorer to identify bottlenecks in compute and bus bandwidth utilization * Monitor and analyze processor, DMA, firmware, and workload metrics * Optimize collective operations to scale AI compute across the data center * Work closely with the hardware team to co-optimize software and Trainium silicon

Senior Lab Services Engineer US-UT-WEST VALLEY CITY-1127-CUST ~ 1127 W 2320 South ~ 2320 S (External Site) posted: Posted 30+ Days Ago

Server Lab Engineer , ML-IL Tel Aviv-Yafo, Tel Aviv, ISR Machine Learning Israel (MLIL), as part of Annapurna Labs / Amazon, is hiring a Lab Engineer to own and operate the labs that powers the bring-up and validation of our next-generation ML training and inference racks. In this role you will build, maintain, and continuously evolve the lab infrastructure - from bench setups to server racks - used daily by HW, FW, and SW engineers. You will be the go-to person for delivering working, instrumented setups that the R&D teams can pick up and run with. Key job responsibilities • Own the MLIL hardware lab in the Tel-Aviv office: physical layout, power and cooling budget, network topology, cabling, asset tracking, and day-to-day operations. • Build, configure, and connect new lab setups for HW, FW, and SW engineers - including Servers, GPU sleds, PCIe switches, retimers, NICs, and DRAM modules - and deliver them ready for R&D use. • Administer and maintain Linux-based servers and systems, including installation, configuration, and optimization • Manage and configure network services such as DHCP, PXE, and other critical infrastructure components. • Run sanity tests on every delivered setup - boot, PCIe enumeration, basic DRAM check, network reachability - so R&D teams pick up a known-good baseline and can focus on their work. • Write and maintain automation scripts (Python / Bash) for repetitive lab tasks - power cycling, log collection, provisioning, imaging, test-harness setup. • Procure, inventory, and manage lab equipment: bench PSUs, scopes, protocol

Relationship Banker I (Village Green Branch) Gallatin, TN - Village Green Branch (Nashville, TN) posted: Posted 3 Days Ago

Applied Scientist, SPX AI Lab Seattle, Washington, USA Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide. We are seeking a world-class Applied Scientist to help define and build the next generation of Amazon Seller Assistant. You will partner with top-tier scientists and engineers to launch production-grade agentic capabilities at Amazon's scale - owning your problem space end-to-end, from a crisp customer insight to a shipped product that millions of sellers rely on. Key job responsibilities - Use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed. - Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions. - Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features. - Establish scalable, efficient, automated processes for large scale data analyses, model benchmarking, model validation and model implementation. - Research and implement novel machine learning and statistical approaches. - Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment. About the team Amazon Seller

Senior Staff Scientist (Innovation Lab; North Reading, MA) North Reading, MA We are the global test and automation specialists, powering next-generation technologies through sophisticated solutions. Behind every electronic device you use, Teradyne's test technology ensures your device works right the first time, every time! Our portfolio of automation solutions help manufacturers to develop and deliver products quickly, efficiently and cost-effectively. Together, Teradyne companies deliver manufacturing automation across industries and applications around the world! We attract, develop, and retain a high-performance workforce, comprised of people with diverse backgrounds and a shared drive for excellence. We strive to foster a positive and inclusive work environment that helps employees, and communities, thrive. Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview Th e Innovation Lab is an advanced R&D team that is part of the Semiconductor Test Division at Teradyne. We have a dual charter to technically support the growth of the division and company: Create long term d

Applied Scientist, Edge AI and Science Cambridge, England, GBR Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health & Wellness, Amazon Echo, and Astro products. This is an exciting opportunity to bring generative AI to Amazon's consumer products, both on-device at the edge and in the cloud. Our compression platform delivers 20x to 100x neural network compression, but using it well still takes weeks of hands-on learning and expert intuition. The Edge AI Model Studio team exists to change that. We become the expert users so partner teams don't have to: we turn compression science into reliable, production workflows, and we package the results into a library of compression-ready student architectures that partners can run on their own. Our north star is simple. Training-to-deployment should feel like pushing a button, not a month-long science project. We are looking for an Applied Scientist to join Model Studio and help compress the next generation of models for edge and cloud deployment across modalities, including large language models, vision-language models, speech and audio models, and omni models that reason jointly over text, audio, and video. You will apply and extend state-of-the-art compression recipes to real models, define the benchmarks and evaluation methodology that make trade-offs explicit, and build the reference implementations that let other teams deploy compressed models without our help. You will work backwards from deployment constraints such as memory, latency, throughput, power, and cost,

Agentic AI Test Engineer NJ - Mount Laurel, 1800 Bishops Gate posted: Posted 30 Days Ago

Machine Learning Scientist - GenAI, KIT Bellevue, Washington, USA At AWS, we use Artificial Intelligence to be able to identify every need of a customer across all AWS services before they have to tell us about it and help customers adopt best practices while architecting on the cloud. We are looking for Applied Scientists to drive innovation with Gen AI to bring paradigm shift to how the business operates and build “best in the world” experience that customers will love! Some of the science challenges we work on include building Agentic AI systems, fine-tuning Large language models for domain specific use cases, Reinforcement Learning, automated cloud optimization, generating strategic insights and recommendations from very large datasets. You will have an opportunity to lead, invent, and design tech that will directly impact every customer across all AWS services. We are building industry-leading technology that cuts across a wide range of ML techniques from Natural Language Processing to Deep Learning and Generative Artificial Intelligence. You will be a key driver in taking something from an idea to an experiment to a prototype and finally to a live production system. Our team packs a punch with principal level product, science, engineering, and leadership talent. We are a results focused team and you have the opportunity to lead and establish a culture for the big things to come. We combine the culture of a startup, the innovation and creativity of a R&D Lab, the work-life balance of a mature organization, and technical challenges at