Full-Time

Head of Software and AI Platform

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

Expert

Remote in Canada

Category
Backend Engineering
Full-Stack Engineering
Software Engineering
Required Skills
Kubernetes
Rust
Agile
Python
Java
Go
C/C++
Development Operations (DevOps)
Google Cloud Platform

You match the following Gauss Labs's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • BS/MS degree in Computer Science and Engineering or related domain.
  • 10+ years of industry experience in building/deploying large-scale production systems.
  • 5+ 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.
Desired Qualifications
  • Experience communicating with users, other technical teams, and senior leadership to collect requirements and describe software product features, technical designs, and product strategy.
  • Experience managing multiple concurrent programs, projects, and development teams in an Agile environment.
  • Project management experience working with cross-functional teams in multiple geographic locations.
  • Experience in recruiting, hiring, mentoring/coaching, and managing teams of software engineers to improve their skills and make them more effective product software engineers.
  • Excellent written and verbal communication skills with the ability to present complex technical information clearly and concisely to various audiences.

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 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.

Company Size

51-200

Company Stage

Late Stage VC

Total Funding

$53.5M

Headquarters

California City, California

Founded

2020

Simplify Jobs

Simplify's Take

What believers are saying

  • AI-driven predictive maintenance is gaining traction, aligning with Gauss Labs' focus.
  • AI-based virtual metrology adoption is increasing, benefiting Gauss Labs' Panoptes VM.
  • Demand for AI solutions in semiconductor manufacturing is expected to grow at 40% CAGR.

What critics are saying

  • Increased competition from established AI companies like Siemens and GE.
  • Potential over-reliance on SK hynix as a major client.
  • Rapid technological advancements could lead to obsolescence if innovation lags.

What makes Gauss Labs unique

  • Gauss Labs specializes in AI solutions for semiconductor manufacturing, a niche market.
  • Their Panoptes VM 2.0 offers real-time, all-wafer measurement data, enhancing process efficiency.
  • The leadership team has deep expertise in AI, with experience from companies like Skytree.

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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

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

-1%

2 year growth

0%
PR Newswire
Aug 13th, 2024
Gauss Labs Releases Ai-Based Virtual Metrology Solution, Panoptes Vm 2.0

New features added in order to improve accuracy and usabilitySK hynix expands adoption of Gauss Labs's solution to etching process in addition to thin film deposition processGauss Labs plans to expand its presence in global industrial AI market with strong references in semiconductor manufacturingSEOUL, South Korea, Aug. 12, 2024 /PRNewswire/ -- Gauss Labs announced today that it released the second version of its AI-based virtual metrology* solution, Panoptes VM 2.0.*Metrology: a process of measuring the physical and electrical characteristics to ensure that requirements are met in the manufacturing processGauss Labs Releases AI-Based Virtual Metrology Solution, Panoptes VM 2.0Panoptes VM provides all-wafer measurement data in real-time by predicting process outcomes from sensor data. By applying this solution, it is possible to predict the process results of all products without physical full-scale measurement, significantly reducing time and resources.Gauss Labs said that Panoptes VM 2.0 is making a new leap forward with new modeling features including the Multi-Step Modeling, Operation-Group Modeling and Automatic Model Selection. With these new features, the prediction accuracy and usability have been greatly improved, compared to the previous version.Gauss Labs, an industrial AI company invested by SK hynix, first launched Panoptes VM 1.0 in November 2022. The system has been deployed to the thin film deposition* process at SK hynix's high-volume manufacturing fabs since December 2022. By integrating the virtual measurement results from Panoptes VM with APC*, SK hynix improved process variability* by approximately 29% and also enhanced yield rate.*Thin film deposition: the process of creating and depositing thin film coatings onto a substrate material*APC(Advanced Process Control): a solution that adjusts process condition for equipment adaptively during a manufacturing process*Variability: the scale of the quality variation of the products from a certain process

PR Newswire
Feb 29th, 2024
Gauss Labs And Sk Hynix Publish The Latest Results On Ai-Based Semiconductor Metrology Technology At Spie Al 2024

-  Two joint academic papers on AI-based metrology technology presented-  Gauss Labs's innovative technology improves process control and equipment productivity in semiconductor manufacturing-  Gauss Labs is at the forefront, leading industrial AI efforts to transform the manufacturing industrySEOUL, South Korea, Feb. 29, 2024 /PRNewswire/ -- SK hynix Inc. (or "the company", www.skhynix.com) and Gauss Labs announced today that they participated in the SPIE AL* 2024, an international conference held in San Jose, California, and presented two papers based on the latest technology for AI-based metrology. Gauss Labs CEO Mike Kim (center) poses with his colleagues. * SPIE Advanced Lithography + Patterning (SPIE AL): a conference hosted by the Society of Photo-Optical Instrumentation Engineers (SPIE), the most prestigious international society in optics and photonics following foundation in 1955, where overall lithography technology for drawing semiconductor circuits is discussed

PR Newswire Asia
Dec 20th, 2023
headline start GAUSS LAB: Transforming the Energy Industry with Modern Digital Solutions headline end

Data Visualization, Real-time Monitoring, and Cyber-Physical Systems (CPS)-based Analysis: In collaboration with energy giants KEPCO and K-Water, GAUSS LAB has developed innovative solutions integrating data visualization with real-time energy data monitoring.

Business Korea
Jan 11th, 2023
SK Hynix Boosts Yields by Applying AI Solution to Chip Production Processes

Gauss Labs, a company specializing in industrial AI and backed by SK Hynix, released “Panoptes VM,” a virtual measurement AI solution, in November 2022.