Staff Software Engineer - Data Platform
at Ambient.ai — AI company transforming enterprise physical security to prevent…
What the role involves
Ambient.ai is a unified, AI-powered physical security platform that helps enterprise organizations reduce risk, improve security operation efficiency, and gain critical insights. Seven of the top 10 U.S. technology companies and multiple Fortune 500 organizations across various industries leverage Ambient.ai to unify their security infrastructure and significantly enhance their security posture.
The Ambient.ai platform applies AI and computer vision intelligence to existing sensor and camera infrastructure to monitor and detect threats continuously in real-time. Ambient.ai does this while simultaneously decreasing false alarms by over 95%, allowing security teams to focus on legitimate threats. With Ambient.ai, companies can do more with less and prevent security incidents before they happen.
We were founded in 2017 by Shikhar Shrestha and Vikesh Khanna, experts in artificial intelligence from Stanford University who previously built iconic products at Apple, Google, Microsoft, and Dropbox. We are a Series-B company backed by Andreessen Horowitz (a16z), Allegion Ventures, SV Angel, Y Combinator, and investment angels like Jyoti Bansal, Mark Leslie, and Elad Gil.
Named on the YC Top Companies List 2021, 2022, 2023, and the Forbes Cloud 100 Rising Stars 2020, we are turning the impossible into the inevitable. We always seek passionate people who enjoy solving the most challenging problems with cutting-edge AI/ML.
Position Overview
Reporting to Raghu Nallamothu, this role as a Staff Data Platform Engineer is a unique opportunity to establish the foundational direction and strategy for the data platform team. As the founding member, you will take the lead in designing, building, and scaling data storage and caching systems to petabyte-level capacity, setting the standard for reliability, availability, and performance in support of mission-critical applications. Additionally, you’ll have a pivotal role in pioneering retrieval-augmented generation systems, setting a precedent for cutting-edge data-driven capabilities at Ambient.ai.
The impact you'll make
- You will lead the design, development, and scaling of our data storage and caching systems to petabyte scale while also spearheading the development of advanced retrieval augmented generation systems.
- Develop highly efficient caching systems that obliterate latency, ensuring lightning-fast data access.
- Tackle data infrastructure challenges head-on, swiftly troubleshooting and resolving issues to minimize downtime.
- Lead groundbreaking efforts in the retrieval of augmented generation systems, pushing the boundaries of what's possible.
The amazing skills you'll bring to Ambient.ai
- Foundational Engineering Leadership: Significant experience in software engineering with a specialization in architecting, optimizing, and scaling data infrastructure, ideally as a founding or principal engineer.
- Visionary Data Store Architecting: Proven track record of architecting and scaling data stores to accommodate petabyte-level data volumes, with a clear vision for long-term data infrastructure strategy.
- Advanced Caching System Design: In-depth experience in designing high-efficiency caching systems to eliminate latency, enabling near-instantaneous data access across applications.
- Database & Infrastructure Mastery: Hands-on expertise in scaling, managing, and fine-tuning complex database systems, including MySQL, PostgreSQL, Redis, and OpenSearch, to meet enterprise-level demands.
- Programming & Software Development Excellence: Strong programming skills, particularly in Python and C++, with expertise in applying software development best practices to ensure robust, maintainable code.
- Distributed Data Processing Frameworks: Familiarity with distributed data processing frameworks, and a comprehensive understanding of various database management systems to guide strategic technology decisions.
- Retrieval-Augmented Generation Systems Expertise: A solid background in retrieval-augmented generation syst
About Ambient.ai
Ambient.ai is a computer vision intelligence company transforming enterprise security operations to prevent security incidents before they happen. The Ambient.ai platform applies AI and computer vision intelligence to existing sensor and camera infrastructure to deliver continuous physical security monitoring and automate the immediate dispatch of human resources. Ambient.ai is the first platform that goes beyond basic motion detection and image recognition to achieve near-human perception with automated situational context. With physical security incidents on the rise and physical security organizations left under-resourced, Ambient.ai’s computer intelligence platform comes at a time of critical need, which is why the company has raised over $50 million from venture capital investors led by a16z. Today, large enterprises, schools and organizations – including many of the largest US tech companies and other Fortune 500 companies – use Ambient.ai to secure property, people, and assets from the most harrowing physical security threats. The company was founded in 2017 by experts in artificial intelligence from Stanford who previously built iconic products at Apple, Google, Microsoft and Dropbox. We are backed by Andreessen Horowitz (a16z), SV Angel, Y Combinator, and visionary angels like Jyoti Bansal, Mark Leslie and Elad Gil.
Full Ambient.ai profile