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Builds high-fidelity Android prototypes for Pixel devices, experimenting with cutting-edge tech like ML models and hardware APIs to demonstrate novel user experiences.
The ideal candidate has experience working with large datasets and distributed computing technologies. They relish working with large volumes of data, enjoy the challenge of highly complex technical contexts, and above…
Senior Data Scientist designing and implementing advanced analytics, predictive models, and Databricks dashboards to identify revenue leakage and recovery opportunities for the Defense Health Agency's RevOS initiative.
Lead applied AI/ML engineer architecting and delivering autonomous agent systems and generative AI solutions for JPMorgan Chase's Commercial and Investment Banking division, bridging research and enterprise-grade production deployment.
EPAM is looking for a Senior Java Developer to join our team in Portugal, focusing on the design and development of highload distributed systems for electronic trading platforms. You will work in a multidisciplinary…
The Data Engineer will design and optimize big data processing pipelines and search applications using Quantexa software, Apache Spark, Scala, and Elasticsearch. The role involves collaborating with cross-functional teams to implement data solutions on the OpenShift Container Platform within a financial compliance context.
Role: Databricks Engineer Experience: 9-12 Years Location: ALL EXL Locations Work Mode: Hybrid Key Role and Responsibilities: Design, build, and maintain Databricks workspaces, clusters, and compute pools across…
Fall 2026 SDE internship on Amazon Robotics teams, building scalable cloud-native distributed systems that interact with fulfillment center robotics, computer vision, and material handling equipment.
As a Senior CPU Expert for NVIDIA's CSP team, you will drive CPU technical strategy, solution optimization, and customer engagement with major Chinese cloud providers. Core technologies include CPU architecture (x86, ARM), C/C++, Python, Linux kernel/virtualization, and NVIDIA's CPU-GPU-DPU platforms.
Solution Architect at NVIDIA focused on designing and optimizing large-scale LLM and Agentic AI inference systems for cloud service providers, leveraging NVIDIA accelerated computing platforms and tools like TensorRT-LLM.
This role involves architecting and optimizing end-to-end training workflows for robotics foundation models like Cosmos and GR00T. The candidate will work with researchers and engineers to scale multimodal model training and data pipelines across multi-GPU and multi-node systems.
The Embedded Software Engineer designs, develops, and debugs software for new products, focusing on embedded Linux systems and RTOS environments. The role involves collaborating on board bring-up, providing technical expertise, and mentoring team members using C and Python.
Design, develop, and maintain scalable ETL data pipelines on Databricks and Azure, integrating diverse data sources to support analytics, reporting, and ML while ensuring governance and reliability.
About Mozn MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence. We’re a diverse,…
Google is seeking a Software Engineer to design, develop, and maintain large-scale infrastructure and AI systems. The role involves optimizing performance, debugging complex system issues, and collaborating on technical designs using C++ or Python.
Staff Software Engineer on Google Cloud's AI/ML team, leading design and optimization of large-scale ML infrastructure, model deployment, and data processing strategies for Vertex AI and related platforms.
Senior Software Engineer on Google Maps Ads ML, building and improving ML models for ad retrieval, pre/post-click quality, and pricing using Python or C++ with strong backend engineering skills.
Software engineer on Google Search infrastructure building large-scale distributed systems and backend services in C++.
Software Engineer on the ML Developer Experience team building developer tooling, SDKs, CLIs, APIs, and platform services for the Anyscale/Ray distributed computing platform, spanning cloud infrastructure to the Ray runtime.
Software engineer building Generative AI features for Google Workspace products (Drive, Gmail, Docs, etc.), working with LLMs and multi-modal models at massive scale alongside Google DeepMind.
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