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For Companies At a Glance
- Tasks: Collaborate with AI researchers to develop cutting-edge software applications.
- Company: Join Harmonic, a leader in AI and mathematical reasoning.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic, fast-paced environment with a focus on innovation and collaboration.
- Why this job: Be part of a team that’s redefining AI technology and making a real-world impact.
- Qualifications: BS in Computer Science or related field; 2+ years of software development experience.
The predicted salary is between 60000 - 80000 £ per year.
About the Company
At Harmonic, we are building a mathematical reasoning engine that operates with absolute precision. While most AI makes maximum-likelihood guesses, Harmonic's Aristotle uses Lean4 and reinforcement learning to verify its reasoning and results. Following our Gold Medal-level performance on the 2025 International Math Olympiad (IMO) and the successful resolution of long-standing open problems, we are proving that AI can master the most rigorous domains of human thought. Backed by some of the world’s most prominent investors, we are intentionally scaling an elite technical team.
About the Role
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.
Minimum Qualifications
- BS in Computer Science, Engineering, or a related field.
- 2+ years of relevant industry experience.
- 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).
Harmonic is committed to diversity and inclusivity in the workplace. 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.
SOFTWARE ENGINEER, INFRASTRUCTURE employer: harmonic
Contact Detail:
harmonic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SOFTWARE ENGINEER, INFRASTRUCTURE
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Harmonic. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a project or two that showcases your software engineering chops, make sure to highlight them. A portfolio can speak volumes about your capabilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and data structures. Practice coding challenges on platforms like LeetCode or HackerRank to get into the groove.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace SOFTWARE ENGINEER, INFRASTRUCTURE
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software development and AI technologies. Use keywords from the job description to show that you’re a perfect fit for the role.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how your skills align with our mission at Harmonic. Don’t forget to mention any relevant projects or experiences.
Showcase Your Projects: If you've worked on any interesting projects, especially those involving AI or large-scale systems, make sure to include them. We love seeing practical applications of your skills!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to see your application and get you into the process!
How to prepare for a job interview at harmonic
✨Know Your AI Stuff
Make sure you brush up on the latest AI technologies and algorithms, especially those relevant to the role. Harmonic is all about precision in AI, so being able to discuss your understanding of concepts like reinforcement learning or Lean4 will definitely impress.
✨Showcase Your Coding Skills
Be prepared to demonstrate your coding abilities during the interview. You might be asked to solve a problem on the spot, so practice coding challenges in languages like Python or C++. Make sure your code is clean and well-structured, as this reflects your attention to detail.
✨Collaborate Like a Pro
Since the role involves working closely with research scientists, highlight any past experiences where you've collaborated across teams. Share examples of how you’ve effectively communicated complex ideas and contributed to a team project, as this will show you can bridge the gap between research and development.
✨Stay Updated and Curious
Demonstrate your passion for continuous learning by discussing recent trends in software engineering and AI. Mention any relevant courses, workshops, or projects you've undertaken. This shows that you're not just looking for a job, but are genuinely interested in contributing to the field.