Normal Computing | Incredible Opportunities The Normal Team builds foundational software and hardware that help move technology forward - supporting the semiconductor industry, critical AI infrastructure, and the broader systems that power our world. We work as one team across New York, San Francisco, Copenhagen, Seoul, and London. Your Role in Our Mission: As a Software Engineer focused on product engineering in Normal EDA, you will be responsible for building the systems and workflows used by hardware engineers to build and verify the chips that power modern AI. Previous experience with the semiconductor or hardware industry is valued, but not required. You'll regularly be faced with sophisticated technical problems at the intersection of AI and product engineering, requiring you to scope out solution designs and find incremental paths to shipping new features. As part of this, you will own APIs and schemas that power core product functionality, collaborating closely with other engineers in developing them. We're hiring engineers who are passionate about solving real-world problems in complex, technical domains and building systems that empower users to work optimally. If you're motivated to develop reliable, performant systems and design intuitive experiences for AI-powered workflows, this role offers the opportunity to make a significant impact on how an entire industry works. Responsibilities: Building complete, integrated prototypes that bring AI capabilities to life in production-grade services, and polished frontend interfaces to create working V0s that users can actually test and the ML team can validate. Architecting and developing backend systems that support complex verification workflows. Owning API contracts between frontend and backend systems. Driving engineering roadmaps in collaboration with researchers, hardware experts, and product managers to discover and propose features that drive user stickiness. What Makes You A Great Fit: 5-8 years of software engineering experience, with a strong focus on building reliable, scalable systems as well as shipping end to end features Experience as a former zero-to-one engineering lead or startup founder is highly valued. Experience building complex systems with a strong intuition for reliability, performance, and maintainability. You avoid the failure mode of shipping features quickly without ensuring the system design and implementation are truly excellent. Experience working with LLMs or building AI-powered applications. You're excited about understanding the nuances of different model paradigms (agents, multimodality, simulation methods) and how to design product experiences that augment rather than detract from user workflows. Proven ability to learn continuously, work independently, and make decisions with minimal supervision. You deliver on your commitments, value outcomes, and adapt quickly when priorities shift. Skill and comfort working in a constantly evolving environment with dynamic objectives and iteration with users. Bonus Points For: Experience building IDE extensions, developer tools, or design-to-code systems. Meaningful experience working and building within or for the semiconductor industry, or developing hardware products or software for hardware products. 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 accomodations@normalcomputing.ai. 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.

Role Description Pragmatike is recruiting on behalf of a European deep-tech company building a decentralized, energy-efficient alternative to traditional cloud providers. Their platform operates on distributed bare-metal infrastructure with advanced automation, delivering sovereign, high-performance compute for modern workloads. We are seeking a Tech Lead with strong expertise in Go and production-grade peer-to-peer (P2P) systems. This is a highly technical role focused on distributed systems, system-level programming, and performance-critical backend services. You will play a key role in designing and evolving the backend foundations of a decentralized cloud platform, working closely with infrastructure, product, and DevOps teams. Autonomy, ownership, and strong architectural judgment are essential. - Design and develop scalable, distributed, server-side applications and microservices using Go. - Build and optimize mission-critical backend software, with a strong focus on system programming, concurrency, and performance tuning. - Design and implement robust peer-to-peer (P2P) communication systems (P2P experience is mandatory). - Contribute to or build systems using libp2p or similar P2P frameworks. - Ensure cross-platform compatibility and consistent application behavior across environments. - Collaborate within an Agile/Scrum team, contributing to backlog refinement, risk identification, and dependency management. - Produce clean, maintainable, and reusable code, following strong engineering standards. - Optimize backend systems for performance, reliability, security, and fault tolerance. - Establish and enhance backend infrastructure, including deployment pipelines, observability, and monitoring tooling. - Work across multi-cloud environments (AWS, Azure, GCP) and collaborate closely with infrastructure teams. - Participate actively in the full application lifecycle, from design to production operations. - Engage with product and design teams to deeply understand end-user and platform requirements. - Conduct thorough code reviews, mentor other engineers, and raise overall backend engineering quality. - Champion best engineering practices and a culture of high-quality software craftsmanship. Qualifications - 5–6+ years of experience as a Senior or Lead Backend Engineer. - MS degree in Computer Science or a closely related technical field. - Strong hands-on expertise in Go and/or Java (Go strongly preferred). - Solid understanding of software design patterns, concurrency, and multi-threaded programming. - Proven production experience with P2P architectures (mandatory). - Strong knowledge of internet protocols and technologies (TCP/IP, HTTP, etc.). - Experience with service-oriented architectures (REST, JSON, API design). - Ability to design secure, well-structured RESTful APIs and understand their client-side implications. - Deep understanding of Agile development principles and collaborative team environments. - Strong communication skills and ability to influence technical direction. Preferred Qualifications - Hands-on experience with Docker and Kubernetes. - Experience in infrastructure engineering and running production systems. - Strong skills in logging, tracing, and observability to diagnose production issues quickly. - Proven track record building large-scale, high-availability, business-critical systems. - Solid experience with multi-cloud deployments (AWS, Azure, GCP). - Direct experience with libp2p, decentralized systems, or related open-source projects/startups. - Familiarity with CI/CD pipelines and modern DevOps practices. Benefits - Redefining cloud infrastructure through decentralization and advanced automation. - Offering a sovereign, energy-efficient alternative to hyperscale cloud providers. - Joining a deeply technical environment where architecture matters and performance is critical. - Your decisions will directly shape the evolution of a complex, ambitious platform operating at the intersection of distributed systems, networking, and cloud infrastructure. Company Description Pragmatike is committed to a fair, transparent, and inclusive recruitment process. We do not discriminate based on age, disability, gender, gender identity or expression, marital or civil partner status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. In accordance with GDPR, your personal data will be processed lawfully, fairly, and securely, and used solely for recruitment purposes, including sharing it with our client(s) for employment consideration. You may request access, correction, or deletion of your data at any time. We are committed to maintaining the confidentiality and security of your information throughout the recruitment process.

• Assist in developing and maintaining Python-based backend services • Work with frameworks such as Django and/or Flask • Support development of REST APIs and backend integrations • Work with databases including MySQL, MongoDB, and Redis • Write clean, readable, and testable code • Collaborate with senior engineers on debugging and feature development • Learn and follow best practices around TDD, code quality, and version control

• Designing, developing, deploying, and optimizing high-load API systems for A/B testing • Building user interfaces for business stakeholders using Python libraries such as Streamlit • Communicating with key stakeholders to collect requirements for new features • Collaborating with cross-functional teams to ensure the reliability and scalability of the system