Senior Data Architect Salary at Hodo Inc BETA

Tech Lead Our client aims to revolutionize hardware and systems through a software-first approach, empowering AI innovators to surpass previous limits. Efforts span across all engineering layers, encompassing hardware, runtime compilers, kernel optimization, algorithm development, and software architecture. Looking for a Tech Lead to drive optimization for state-of-the-art AI technology, enhancing code efficiency on our specialized hardware. You will join a collaborative team dedicated to innovative problem-solving and quality product creation. Make a lasting impact in AI's future. Responsibilities: Lead the design, enhancement, and maintenance of a next-generation SPU compiler. Propose and implement enhancements to our Intermediate Representation (IR) to accommodate emerging trends in machine learning model architectures. Develop novel compiler passes and scheduling techniques to optimize code generation. Employ state-of-the-art parallelization and partitioning methodologies to automa

About the Company - We are partnering with a cutting-edge AI research lab that is building foundation models from the ground up—across large language models (LLMs), image/video generation, and robotics. This is a high-intensity, hands-on environment for top-tier engineers who want to build state-of-the-art machine learning infrastructure at scale. About the Role - We are seeking a Senior ML Infrastructure Engineer to design and build distributed training systems for large-scale AI models. This role is highly technical and requires deep expertise in ML infrastructure, distributed computing, and large-scale model training. Responsibilities Architect and optimize distributed training infrastructure for massive-scale AI models. Set up and maintain multi-node, GPU-based training clusters (12+ nodes, 100+ GPUs). Debug and optimize ML training performance (NCCL, CUDA, PyTorch pipeline optimization). Implement and optimize data and model parallelism techniques (FSDP, DDP, DeepSpeed). Develop i

About the Role We’re looking for a Senior Backend Engineer to design and build scalable backend systems that power our most popular products. Responsibilities Architect and implement backend services using TypeScript/Node.js. Design and optimize data pipelines using Kafka, Clickhouse, and Redis. Develop and deploy multi-tenant Next.js applications on Cloudflare. Improve system reliability, including our CI platform and A/B testing infrastructure. Mentor junior engineers and drive best practices for scalability and performance. Requirements 4+ years of experience with distributed systems and service-oriented architecture. Strong knowledge of TypeScript, Node.js, Kafka and Redis. Experience building and maintaining high-availability systems. -Visa Sponsorship Not Available-

Software Engineer (Full Stack) - $250k - Series D, AI Platform - Hybrid - LLM Tech Shape the Future of AI We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. We're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to

Principal Software Engineer – Data Platform San Francisco, CA (Remote OK – US Only) Base Salary: $230K–$280K + Equity Ready to architect a world-class data platform from the ground up? A fast-growing, product-driven tech company is hiring a Principal Software Engineer to take charge of building a modern, cloud-native data platform from scratch. If you're passionate about solving large-scale data challenges and building infrastructure that supports real-time analytics and AI/ML, this could be your next big move. What’s in it for you? Be a founding member of a growing Data Platform team Lead the design and architecture of the entire platform Work on massive-scale data and real-time streaming pipelines Use state-of-the-art technologies (Kafka, Iceberg, ClickHouse, Snowflake, etc.) Help shape the platform that fuels AI, ML, and analytics company-wide What You’ll Be Doing: Build a next-generation data platform for both internal and product-facing needs Design systems that handle both batch

Principal Software Engineer - Data Platform San Francisco, CA (Remote Eligible – US Only) $230K–$280K base + equity Are you ready to lead the design and build of a world-class data platform from the ground up? A high-growth, product-led tech company is looking for a Principal Software Engineer to lead the buildout of a modern, scalable data platform from the ground up. If you’re excited about solving massive data challenges and shaping the infrastructure that supports real-time analytics and AI/ML at scale, this role is for you. As the most senior technical IC on the Data Platform team, you'll partner with leadership across Engineering, Product, Security, and Compliance to design a low-latency, cloud-native data architecture using best-in-class tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake. Why this role? Join a growing Data Platform team Own the technical vision and architecture end-to-end Tackle petabyte-scale data challenges and real-time streaming use cases Work wi

Principal Software Engineer – Data Platform Location: San Francisco, CA (Remote OK – US only) Comp: $230K–$280K base + equity About the Role: We're looking for a Principal Software Engineer to help lead the development of a modern, scalable data platform from the ground up at a fast-growing, product-driven tech company. This is a high-impact role where you'd be the most senior individual contributor on the Data Platform team, helping to define the technical vision and build infrastructure that supports real-time analytics, machine learning, and large-scale data processing. You’ll be working closely with Engineering, Product, Security, and Compliance leadership to design a cloud-native data architecture using tools like Kafka, Iceberg, ClickHouse, Tinybird, and Snowflake. If building at scale, tackling complex streaming + batch challenges, and driving long-term architecture sounds exciting to you—this might be the right fit. What Makes This Opportunity Stand Out: Be a core part of a gro

A well-funded AI startup backed by $9M in venture capital is hiring two Senior Backend Engineers to help architect and build the core infrastructure powering customizable enterprise AI agents. This team is reimagining how GTM and operations teams interact with AI — moving beyond chatbots into truly useful, secure, no-code automation. The company is 8 people today, led by repeat founders and ex-engineers from top-tier startups like Gong, Apollo, and Clay. They’re moving fast and already working with enterprise design partners in security, compliance, and sales. What You’ll Do Architect and build performant, scalable backend systems for complex enterprise use cases Own key infrastructure for building, testing, and deploying custom AI agents Collaborate closely with product and founding engineers to shape the roadmap Ensure data integrity and enterprise-grade security Work across a modern stack: Python, Next.js/TypeScript, Go, AWS, and LLM integrations What They’re Looking For 5–8 years o