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Leads the design and development of scalable infrastructure for Google’s next-gen server platforms, focusing on AI modeling, hardware simulation, and system reliability. Works with cross-functional teams to address technical challenges in hardware modeling, security, and deployment at massive scale.
Design and own the core C++ FusionEngine that delivers centimeter-level positioning for vehicles, robots, and drones, spanning embedded to Linux systems and real-time hardware.
Staff Python Engineer Overview Ocho is delighted to be working on behalf of our client to recruit a Staff Python Engineer to join a high-performing engineering team building large-scale, cloud-native platforms used by…
Staff Engineer embedding with internal teams at Lyra Health to design, build, and ship AI-powered tools and automations using Python/Java microservices, LLMs, and agentic frameworks that drive measurable efficiency gains.
Staff Engineer on Temporal's Traffic team leading the design and development of network traffic optimization, cloud orchestration, and distributed networking infrastructure using Go or Java.
At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient…
Build real-time speech and media systems for live AI conversations, optimizing low-latency audio/video pipelines and WebRTC infrastructure across web and mobile.
Staff Software Engineer for Core Infrastructure at Scribd, designing and operating a scalable content storage platform (Rust/Python) handling billions of objects for media products like Scribd, Slideshare, and Fable. Focuses on transactional storage, data transforms, low-latency retrieval, and governance at massive scale.
Staff Software Engineer leads rapid innovation projects for Keeper Security, turning ambiguous ideas into working software across backend, frontend, desktop, and security products. Focuses on architecture, prototyping, and mentoring while collaborating with AI/ML teams and engineering leaders.
Builds full-stack features for a modern healthcare practice platform that integrates with legacy systems, improving patient experience and reducing administrative work.
Designs and builds AI-powered agents to automate and improve Databricks' public web content workflows, including blogs, landing pages, and microsites, using LLM systems and human-in-the-loop review processes.
Architect and build Databricks' AI-native agent platform for enterprise workflows, starting with customer support and expanding to other domains like IT and security.
Builds intuitive, scalable AI-driven interfaces and workflows for Databricks' platform, leveraging generative AI and modern web technologies in a startup-like NYC team.
Design and lead Databricks' next-generation network infrastructure, building scalable, multi-cloud connectivity platforms that power millions of VMs and enterprise security features.
Designs and builds scalable backend systems for a data/AI platform used in sovereign and air-gapped cloud environments, primarily in Java, Scala, or Go.
Architect and lead the development of an AI-native platform that orchestrates agentic workflows for customer support and other enterprise domains using distributed systems and multi-cloud infrastructure.
Build and scale Databricks' managed GPU training platform (AI Runtime), designing systems for large-scale AI model training, fault tolerance, and developer experience.
Designs and scales Databricks' next-generation AI-powered search platform, combining vector, keyword, and hybrid retrieval to power enterprise knowledge management and AI applications.
Builds and scales the unified API layer for large language models at Databricks, enabling real-time and batch inference for enterprise customers using partner and self-hosted models.
Build and scale LLM inference infrastructure for enterprise AI workloads, enabling customers to serve and optimize frontier models with high reliability and performance.
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