Full-Time

Software Engineer

Gauss Labs

Gauss Labs

51-200 employees

Industrial AI biotech company

Data & Analytics
Industrial & Manufacturing
AI & Machine Learning

Junior, Mid

Palo Alto, CA, USA

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 is on a mission to revolutionize manufacturing by building industrial ai solutions beyond human capabilities. Gauss Labs is currently in the process of building industrial AI systems to tackle some of the most fundamental challenges the manufacturing industry faces.

Company Stage

Seed

Total Funding

$110M

Headquarters

Palo Alto, California

Founded

2020

Growth & Insights
Headcount

6 month growth

8%

1 year growth

12%

2 year growth

52%

Benefits

Competitive compensation + meaningful equity

Generous PTO policy

Comprehensive wellbeing benefits

Paid family leaves

L&D opportunities

Additional benefits unique to each site