Software Engineer

About Us: Lovelace is the only provider of enterprise-scale context engines capable of analyzing trillions of real-time data points to create knowledge graphs that are usable by autonomous agents at the speed, scale, and accuracy required for mission-critical analysis. Lovelace’s context engine platform, Elemental, uniquely integrates data ingestion, entity resolution, and graph building into a single pipeline that empower agentic deployments, delivering 1000X the investigative power for complex queries. With its proprietary ground-breaking YottaGraph, Lovelace provides enterprises with real-time, real-world context, enabling agents to understand the impact of global intelligence on enterprise data for unmatched insights with millisecond precision. Founded in 2023 by Andrew Moore, former head of Google Cloud AI, dean of Carnegie Mellon’s School of Computer Science, and first AI advisor for U.S. CENTCOM, Lovelace currently works with some of the largest public and private enterprises in the world. Job Summary: - As a Software Engineer at LovelaceAI, you will play a crucial role in the development of AI-driven solutions to address complex challenges in national security and emergency management. You will be part of a team of enthusiastic experts combining their expertise in software engineering, algorithm development and AI integration with highly performant system engineering. Key Responsibilities: - Software Development: Collaborate with cross-functional teams to design, develop, test, and maintain software applications and systems that support defense and emergency response operations. - Algorithm Development: Create and optimize algorithms for real-time data analysis, pattern recognition, and predictive modeling, ensuring the highest level of accuracy and efficiency. - Security and Compliance: Ensure the security and compliance of software systems with stringent defense and emergency response industry standards and regulations. - Documentation: Maintain detailed documentation for code, algorithms, and software architecture to facilitate collaboration and future development efforts. - Testing and Quality Assurance: Conduct thorough testing, debugging, and optimization to ensure the reliability and performance of software applications. - Continuous Learning: Stay updated on the latest advancements in AI, machine learning, and defense technologies to propose and implement innovative solutions. Qualifications: - Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. - Proven experience in software development in a dynamic and collaborative environment. - Proficiency in programming languages such as Python, Go, or C++. - Knowledge of machine learning fundamental and frameworks (e.g., TensorFlow, PyTorch, XLA, JAX) a plus. - Familiarity with software development best practices, version control systems, and agile methodologies. - Excellent problem-solving and communication skills. - Ability to work collaboratively in a team and adapt to fast-paced, mission-critical situations. - Must be a US Citizen. Benefits: LovelaceAI offers competitive compensation packages, comprehensive benefits. We provide a supportive and inclusive work environment where your skills and expertise can make a significant impact on the safety and security of our communities. Lovelace’s founding team includes: Andrew Moore, who has a track record of building impactful AI systems, designing them with human rights impact assessments as a top priority, leading the AI division of one of the world’s foremost cloud companies, and actively participating in machine learning and AI research over the past two decades. Toby Smith, well known in the Pittsburgh Tech community for his engineering leadership and design skills, and who has led many of the most ambitious and complex system infrastructure projects in Google Pittsburgh and NetApp. Here is a note from Andrew Moore to people who are reading these Job Postings: “Hi folks, I’m so glad you are potentially interested in Lovelace AI. This area means a lot to me because while I am an AI optimist, I also think that we technologists owe it to a rightly skeptical world to show that modern intelligent systems can actually be useful. Usefulness comes in many guises: from life sciences to education and from transportation to entertainment and many others. For many of us, security and public safety is also very high on that list. That reasoning leads to this conclusion: I’m determined to make sure that the people building Lovelace AI gain a lot from the experience, including the chance to solve fascinating problems in computer science, AI, business development, customer success and product management. I also hope that we all learn from each other in a highly enriching work environment. But my main hope is that we have a shared sense of accomplishment as we see an increasing number of national security and public safety domains made safer through sensible and robust use of advanced computer science."