Software Engineer - Intern (Summer 2025)

Kognitos is at the forefront of revolutionizing the trillion-dollar hyper-automation market. Our mission is to redefine how software is built and maintained by leveraging cutting-edge multi-agent automation platforms. We are pioneering advancements in agentic workflows, enabling machines to reason, plan, and execute tasks in a deterministic fashion.

Our approach elevates debugging to English, bypassing traditional programming languages that struggle to adapt to runtime surprises. Kognitos is building "HAL"—but the friendly, helpful kind—to create systems that align AI safety with business value, solving challenges in efficient fine-tuning, multimodal reasoning, and real-world adaptability.

Our team includes top engineers from Google, Microsoft, Meta, Amazon, Pure Storage, and leading tech startups. Many of our engineers have studied at IIT, Georgia Tech, Carnegie Mellon, Stanford, UC Berkeley, University of Washington, UIUC, Caltech, and the University of Michigan.

With offices in San Jose, CA, and Bangalore, India, we’re building a global center of excellence in AI automation.

At Kognitos, you won’t just build software—you’ll help shape the future of AI-driven automation.

Software Engineer Intern – Summer 2025

Location: San Jose (onsite) | Internship | Paid

Are you ready to dive into real-world coding, build innovative software, and collaborate with some of the brightest minds in AI and automation? Kognitos is looking for Software Engineer Interns to join us this upcoming summer.

This isn’t a typical internship—we want you to write code, solve problems, and ship features that make a real impact. If you're passionate about building cutting-edge technology and learning from top-tier engineers, we’d love to have you on board.

What You’ll Be Doing:

• Collaborate with our engineering team to design, develop, and enhance software.

• Write clean, efficient, and well-documented code that actually gets used.

• Participate in code reviews—give feedback, take feedback, and level up your coding skills.

• Troubleshoot and debug software issues.

• Work on projects involving AI, machine learning, and data analysis.

• Stay ahead of the curve with emerging tech and trends in software development.

What You Bring to the Table:

• Currently pursuing a degree in Computer Science, Software Engineering, or a related field.

• Strong programming skills in Python, Java, C++, or similar.

• Solid understanding of algorithms, data structures, and computer science principles.

• Familiarity with Git and version control.

• A problem-solving mindset—you love tackling complex challenges.

• Excellent communication and teamwork skills.

• Eagerness to learn, adapt, and grow in a fast-paced, startup environment.

Bonus Points If You Have:

• Experience with AI & machine learning (TensorFlow, PyTorch).

• Knowledge of web development (HTML, CSS, JavaScript).

• Familiarity with cloud platforms (AWS, Azure, Google Cloud).

• Previous internship or project experience in software development.

Why Join Kognitos?

• Hands-on experience with real-world projects.

• Mentorship from experienced engineers—get guidance, not just tasks.

• Collaborative and fun culture—we take our work seriously, but not ourselves.

• Opportunities to explore AI, automation, and machine learning.

• A chance to make an impact—your code won’t just sit in a repo; it’ll power real products.

Ready to launch your career with us?

Apply now and let’s build something great together.

Final note

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal opportunities provider

Kognitos is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.