Software Engineer, Full-Stack
Rescale60,000 - 90,000 USD/year
- Full Time
- Junior (1 to 2 years), Entry Level & New Grad
$150,000 – $250,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, Semiconductor, Software DevelopmentIndustries
Requirements
Candidates should possess 6-10 years of prior engineering experience, including technical leadership, with expertise in writing clean, effective, and scalable code using TypeScript and React. They should have experience building backend services in Python or other languages and a deep understanding of how web technologies work, including familiarity with state management, performance optimization, and relevant technical concepts. A Bachelor's degree or higher in Computer Science, Engineering, or a related field is required.
Responsibilities
The Software Engineer, Full Stack will design and build high-performance systems for semiconductor companies to unlock faster iteration cycles and enable innovation for customers, partnering with product teams and users to translate complex technical capabilities into user-friendly experiences. They will re-imagine business critical workflows, lead projects from concept to deployment, develop engineering roadmaps in collaboration with AI researchers and product managers, and foster a collaborative environment that promotes technical excellence and continuous learning.
Skills
TypeScript
React
Python
Web Technologies
HTML
CSS
Web APIs
State Management
Performance Optimization
Technical Leadership
System Design
Backend Development
Normal Computing
Develops generative AI for enterprises
About Normal Computing
Normal Computing develops generative AI specifically for critical enterprise applications, focusing on large-scale enterprises like Fortune 500 companies in sectors such as semiconductor manufacturing, supply chain management, banking, and government. Their technology, based on Probabilistic AI, utilizes statistical analysis to predict outcomes, allowing businesses to have greater control over the reliability, adaptivity, and auditability of their AI models. This approach addresses the significant risks that have hindered AI adoption in these industries. Unlike many competitors, Normal Computing tailors its AI solutions to meet the specific needs of its clients, operating on a subscription or contract basis. The goal of Normal Computing is to mitigate risks associated with AI implementation, making it a more viable option for critical applications in high-stakes environments.
New York City, New YorkHeadquarters
2022Year Founded
$80.7MTotal Funding
GRANTCompany Stage
Enterprise Software, AI & Machine LearningIndustries
51-200Employees