Full-Time

Manager of Software and AI Platform

US/KR

Confirmed live in the last 24 hours

Gauss Labs

Gauss Labs

51-200 employees

AI solutions for semiconductor manufacturing efficiency

Industrial & Manufacturing
AI & Machine Learning

Senior, Expert

Palo Alto, CA, USA

Hybrid role requiring in-office presence.

Category
Backend Engineering
Full-Stack Engineering
Software QA & Testing
Software Engineering
Required Skills
Kubernetes
Rust
Agile
Python
Java
Go
C/C++
Development Operations (DevOps)
Google Cloud Platform
Requirements
  • BS/MS degree in Computer Science and Engineering or related domain.
  • 10+ years of industry experience in building/deploying large-scale production systems.
  • 1+ years of managing engineering teams, working through multiple levels from mentoring junior engineers to influencing technical leadership.
  • Excellent project management skills, including experience with Agile methodologies and practices.
  • Knowledge of engineering practices for the full software development lifecycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Development experience in a cloud service environment such as Amazon AWS, MS Azure, and Google Cloud Platform, as well as on-premise Kubernetes clusters in highly secure environments.
  • Hands-on experience programming in Python, Java, C++, Go, Rust, or other programming languages.
  • Ability to anticipate problems, identify risks, see around corners, and scope large projects.
  • Ability to translate informal customer requirements into technical problem definitions, dealing with ambiguity and competing objectives.
  • Experience partnering with product or program management teams.
Responsibilities
  • Own the design, development, testing, deployment, and operation of manufacturing AI software products.
  • Be responsible for ensuring the quality of architecture and operational excellence and delivering the best results on time.
  • Take responsibility for end-to-end development with high standards in all aspects of software design, coding, code reviews, tests, DevOps to process improvements, and team building.
  • Lead a team of strong software engineers with varying levels of seniority, providing mentorship and career growth opportunities.
  • Provide technical direction to the team and influence the technical direction of stakeholder teams, establishing and executing short and long-term architectural roadmaps.
  • Advise and consult with software and AI engineers on design and architecture, demonstrating part team leadership, part technical leadership, and part hands-on.
  • Play a key role in planning, designing, and delivering multiple AI software product lines, partnering with product managers and TPMs.
  • Collaborate with interdisciplinary, diverse, and geographically dispersed teams.
  • Be the spokesperson for the software engineering team internally and, sometimes, to our customers, supporting customer and account management activities.
  • Hire and mentor software/system engineers and actively participate in developing their careers.

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 factories smarter and more efficient.

Company Stage

N/A

Total Funding

$53.5M

Headquarters

California City, California

Founded

2020

Growth & Insights
Headcount

6 month growth

8%

1 year growth

10%

2 year growth

25%
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