About the job:
Do you love building robust, scalable backend systems? Do you crave the challenge of integrating ML power into mission-critical infrastructure? If so, this might be an exciting position for you.
This is a unique opportunity to work at the forefront of recent advances in generative AI, while surrounded by exceptional researchers and builders. As an early core member of a rapidly growing startup, you will significantly impact the product and shape its future. We offer competitive pay, benefits, and equity, and believe this position will be fulfilling for you.
About Us:
Our mission is to dramatically reduce the time, cost, and engineering effort needed to build complex silicon chips by bringing recent advances in AI to chip design. Our founding team comprises experts in chip design, AI, and modern software stacks. In past lives—we were researchers, engineers, and leaders at major chip design/AI companies. We also count one of the world’s leading AI research institutions as a co-founder. Our investors are top VC funds and leading figures in the semiconductor industry.
What You'll Do:
- Architect and build highly scalable, secure, and reliable backend systems on one of the major cloud platforms (AWS, Azure, GCP).
- Craft elegant and efficient REST APIs that are reliable and low latency.
- Design and implement data pipelines that seamlessly integrate with ML models and ensure smooth operation.
- Own the deployment cycle, enabling on-premise/VPC deployments at customer sites.
- Optimize and refine performance, ensuring our systems scale gracefully with user growth.
- Collaborate closely with frontend developers, data scientists, and DevOps engineers to bring our vision to life.
- Contribute to our culture of continuous improvement and innovation.
Who You Are:
- A passionate backend engineer with 5+ years of experience building production-ready systems.
- An expert in one of the major cloud platforms (AWS, Azure, GCP).
- Proficient in Python to build backends and MongoDB to build databases.
- Fluent in REST best practices and performance optimization techniques.
- Familiar with building and integrating ML models into production systems.
- Experience with containerization technologies like Docker and Kubernetes is a big plus.
- A strong communicator and collaborator who thrives in a fast-paced environment.
- A continuous learner with a relentless desire to push boundaries and grow.
Bonus Points:
- Experience with on-premise deployments and network security.
- Familiarity with CI/CD pipelines and automation tools.
- Open source contributions and side projects demonstrate your passion for technology.
If you're ready to build the future of how chips are designed with AI, we want you on our team. Come join us and let's make the impossible possible!
Why Join Us?
As a young startup funded by top VCs, this is a unique opportunity that you can’t really get anywhere else:
- Personal impact — The opportunity to build something from the ground up and define a new product for an industry that is at the core of the modern technological revolution.
- Access to unique learning opportunities — With a leading AI research institution as a co-founder, our team gets access to numerous talks by leading AI researchers/paper authors, knowledge sharing amongst the community of hundreds of engineers, and much more. As a part of the multi-disciplinary team, you get to interact with people from very different backgrounds (from chip design to AI to software engineers).
- Founding title — You will be one of our first hires. For the rest of our days, no matter how many thousands of people join after you, you will always have that honor and distinction.
- Early-stage equity — Early-stage risk comes with early-stage equity for you. And none of us would be here if we didn’t think our company would create tremendous value over time.
- Benefits — In spite of being an early-stage company, taking care of our team is a priority for us. From health insurance to catered lunches, we continue to add unique benefits.
