Harmonic is a startup building the world’s most advanced mathematical reasoning engine. Backed by some of the world's most prominent investors, we are intentionally scaling our elite technical team.
We are looking for a talented Software Engineer to bridge the gap between our AI research and product development teams. This role involves working closely with research scientists to understand their discoveries and advancements in AI, and then applying this knowledge to develop robust, scalable software for real-world applications. The ideal candidate should be passionate about AI technology and experienced in software development.
Key Responsibilities
- Collaborate with AI research scientists to understand and implement state-of-the-art AI algorithms.
- Develop and maintain software that incorporates AI technologies into practical applications and products.
- Ensure the scalability, efficiency, and reliability of software systems.
- Participate in the entire software development lifecycle, including requirement analysis, design, coding, testing, reviewing, deployment, and support.
- Write clean, efficient, and well-documented code.
- Stay updated with the latest trends in software engineering and AI technologies.
- Support the development of a user facing AI product.
- Work cross-functionally with product managers, designers, and other engineering teams to deliver high-quality products.
Requirements
- BS in Computer Science, Engineering, or a related field.
- Software development skills with proficiency in one or more programming languages (e.g., Python, C++).
- Experience scaling and maintaining large scale distributed systems.
- Experience in software engineering practices including coding standards, code reviews, source control management, build processes, and testing.
- Familiarity with AI concepts and a keen interest in working with AI technologies.
- Understanding of algorithms, data structures, and system design.
- Ability to work in a fast-paced, collaborative environment.
Preferred Qualifications
- MS or PhD degree in Computer Science, Engineering, or a related field.
- Prior experience in collaborating with research teams or in a research-driven environment.
- Experience in developing products from concept to launch.
- Knowledge of cloud platforms and services (e.g., AWS, Azure, GCP).
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
Learn more about what we are working on!
New York Times Exclusive: Is Math the Path to Chatbots That Don't Make Stuff Up?
Sequoia Capital Training Data Podcast: Why Vlad Tenev and Tudor Achim of Harmonic Think AI Is About to Change Math—and Why It Matters
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
