Normal Computing. Incredible Opportunities.
At Normal, we're rewriting AI foundations to advance the frontier of reasoning and reliability in the real world. At the center of our mission is bridging artificial intelligence to the most sensitive industrial and advanced manufacturing applications around the globe.
At Normal, we understand that our technology is only as powerful as the people behind it. Every employee drives significant impact within our products, often working directly with customers and embedding across our tightly-knit team. Our team members are driven by curiosity and passion for solving some of the most challenging problems in the world of atoms.
Your Role in Our Mission:
We are hiring a Sr DevOps Engineer to design and build high-performance cloud based infrastructure and services. This role provides an opportunity to get firsthand experience prototyping and launching transformative AI experiences in one of the world’s most important industries - Semiconductors. Previous experience with the AI Engineering or Semiconductor industry is valued, but not required.
Designing, building, and operating infrastructure for Normal’s products, automating development processes, and ensuring product reliability in our Linux environment
Collaborating with product and AI teams to define and implement DevOps standards
Deploying and managing Normal’s product stack in our clients environments
Designing and implementing Continuous Integration/Continuous Deployment (CI/CD) pipelines for software and data workloads, integrating security checks and policy enforcement
Implement logging, monitoring, and alerting best practices, manage credentials, and ensure regulatory compliance (e.g., SOC2)
Performing the continued evolutions, maintenance operations and upgrades on all of Normal’s infrastructure
What Makes You A Great Fit:
4-7 years of prior experience in DevOps, SRE, Systems Engineer, or similar role
Expert experience designing and building cloud-based infrastructure on Linux, and proficiency with AWS and Kubernetes
Expert ability to write clean, effective and scalable code in an object oriented language, preferably Python or Go
Expert experience with infrastructure as code tooling (eg. Terraform, OpenTofu)
Experience with defining best in class CI/CD standards
Experience supporting backend services in Python or other object-oriented languages.
Base line level of experience in networking including load balancing and VPN technologies
Reliable, resourceful, and flexible - you deliver on your commitments, value outcomes, and adapt quickly when priorities shift.
Bonus Points For:
Meaningful experience working and building within or for the semiconductor industry, or developing hardware products or software for hardware products.
Experience working with LLMs or collaborating with ML teams.
Experience with infrastructure and workflow automation in Ansible
Equal Employment Opportunity Statement
Normal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.
Accessibility Accommodations
Normal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at [email protected].
Privacy Notice
By submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.
Top Skills
What We Do
Normal is rethinking semiconductors from the ground up.
The infrastructure powering AI models was never designed with today’s scale, complexity, or energy demands in mind. Today's general-purpose architectures underutilize the physical potential of the hardware itself.
By aligning hardware design with the intrinsic properties of physical systems, we can transform efficiency. We believe that exploring the limits of new and custom silicon, including those which optimize their own physics, requires the help of AI, better EDA software, and ultimately the realization of a virtuous cycle of self-improving AI hardware.
We deliver our software and hardware with the largest semiconductor design and manufacturing institutions, a responsibility which entails individual ownership and deep partnership. We are a diverse, lean team of the world's best engineers, scientists, and operators, with offices in New York City, San Francisco, London, and Copenhagen.
Why Work With Us
We understand that our technology is only as powerful as the people behind it. Every employee drives significant impact within our products, often working directly with customers and embedding across our tightly-knit team. Our team members are driven by curiosity and passion for solving some of the most challenging problems in the world of atoms.
Gallery
