Software Engineering Opportunities
Groq- Full Time
- Entry Level & New Grad, Junior (1 to 2 years), Mid-level (3 to 4 years)
Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, and demonstrate the ability to independently develop and deploy services from the ground up. Experience applying libraries, infrastructure resources, or frameworks to real-world projects is required, along with strong problem-solving skills and a commitment to user-centric product development. A passion for learning and sharing knowledge within a technical team is also valued.
The Software Engineer will contribute to designing, developing, and launching Manufacturing AI products such as Virtual Metrology, Image Metrology, or Inspection platforms while collaborating with other engineers and AI scientists. They will develop, deploy, and maintain scalable and reliable large-scale Manufacturing AI SW products, select and integrate appropriate libraries and tools, track and analyze user interactions, and contribute to technical knowledge-sharing and team growth. The role also involves taking ownership of building user-focused products with a self-driven and fast execution approach.
AI solutions for semiconductor manufacturing efficiency
Gauss Labs develops AI solutions specifically for the semiconductor manufacturing industry. Their technology focuses on process monitoring and optimization, utilizing machine-generated data to enhance factory intelligence and efficiency. By improving production quality and reducing downtime, Gauss Labs helps semiconductor manufacturers operate more effectively. Unlike many competitors, Gauss Labs tailors its AI infrastructure and software products to meet the unique needs of the manufacturing sector. The company's goal is to transform manufacturing processes through advanced AI, making factories smarter and more efficient.