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Full-Time

Software Engineer

US

Confirmed live in the last 24 hours

Gauss Labs

Gauss Labs

51-200 employees

AI solutions for semiconductor manufacturing efficiency

Industrial & Manufacturing
Enterprise Software
AI & Machine Learning

Entry, Junior, Mid

Palo Alto, CA, USA

Hybrid position requiring in-office presence.

Category
Backend Engineering
Full-Stack Engineering
Software Engineering
Required Skills
Python
JavaScript
Data Structures & Algorithms
Java
Requirements
  • BS/MS/PhD degree in Computer Science and Engineering or strong industry experience in software development.
  • Industry experience in software development or platform engineering.
  • Experience in developing software with high scalability, performance, and reliability.
  • Experience in software development with expertise in some of data structures, algorithms, object-oriented software design, OS & computer architecture, networks, databases, etc.
  • Experience with at least one modern programming language such as Python, Java, JavaScript, and C/C++.
Responsibilities
  • Design, develop and deploy a secure, reliable, robust, and scalable software platform for Machine Learning services in high availability and low latency.
  • Work with applied scientists to collaborate on leveraging algorithm components to build the solution and product.
  • Optimize Machine Learning software components to exploit modern parallel architectures such as distributed clusters, multicore SMPs and GPUs.
  • Take responsibility for end-to-end development with high standard on software design, coding, code reviews, tests and automation of deployment within CI/CD disciplines.
  • Work closely with project/program managers to understand the customers’ needs and their business problems.

Gauss Labs develops AI solutions specifically for the semiconductor manufacturing industry. Their technology focuses on process monitoring and optimization, using machine-generated data to enhance factory intelligence and efficiency. By implementing their AI systems, semiconductor manufacturers can improve production quality, minimize downtime, and boost overall operational performance. Unlike many competitors, Gauss Labs tailors its AI infrastructure and software products to meet the unique demands of the manufacturing sector. The company's goal is to transform manufacturing processes through advanced AI, making them more efficient and effective.

Company Stage

Seed

Total Funding

$110M

Headquarters

California City, California

Founded

2020

Growth & Insights
Headcount

6 month growth

1%

1 year growth

8%

2 year growth

21%
Simplify Jobs

Simplify's Take

What believers are saying

  • Gauss Labs' innovative AI-based metrology technology has the potential to significantly improve process control and equipment productivity in semiconductor manufacturing.
  • Their collaboration with industry giants like SK Hynix and KEPCO positions them as a leader in applying AI to both semiconductor and energy sectors.
  • The release of products like Panoptes VM demonstrates their capability to develop cutting-edge solutions that can boost production yields and operational efficiency.

What critics are saying

  • The highly specialized focus on semiconductor manufacturing may limit their market reach and diversification opportunities.
  • Dependence on key partnerships, such as with SK Hynix, could pose risks if these relationships were to weaken or dissolve.

What makes Gauss Labs unique

  • Gauss Labs focuses exclusively on the semiconductor manufacturing sector, providing highly specialized AI solutions that surpass general industrial AI applications.
  • Their leadership team, including co-founder Abhimanyu, brings extensive experience in AI and machine learning, giving them a competitive edge in developing advanced technologies.
  • The company's strategic partnerships, such as with SK Hynix, enable them to validate and refine their AI solutions in real-world manufacturing environments.

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Benefits

Competitive compensation + meaningful equity

Generous PTO policy

Comprehensive wellbeing benefits

Paid family leaves

L&D opportunities

Additional benefits unique to each site