Expression of Interest

Posted 3 Days Ago
Be an Early Applicant
San Francisco, CA
Entry level
Software
The Role
Plato Systems invites candidates to submit their resumes for potential positions in software development and engineering. The company specializes in spatial AI and advanced manufacturing solutions. Ideal candidates should have a background in Computer Science or Electrical Engineering, with experience in building production software and modern programming languages.
Summary Generated by Built In

If you're interested in submitting your resume and expressing interest in an area without an active or listed position right now, please apply to this position. We can internally move your application to the appropriate position.

Plato Systems is pioneering the use of spatial AI to boost capacity, productivity, and safety across physical operations, starting with manufacturing. Established as a spin-off out of Stanford and funded by NEA in 2019, Plato has developed an Operations Digital Twin and AI copilot fueled by our proprietary hardware that uses machine perception and sensor fusion on the edge to digitize patterns of activity. Advanced manufacturing companies use the unprecedented capabilities in our platform to root cause complicated systemic operational issues rapidly and at scale, thereby taking Kaizen and compliance tracking into the age of AI. We are deployed across multinational electronics manufacturers, semiconductor fabs, and EMS companies in several countries. You can find out more about us by visiting our website.

Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. Our team is building and deploying edge software and cloud services for real-time customer facing products as well as internal big data tools. We look for people with a depth of expertise and experience in one of these areas, and with the intellectual curiosity for interacting with, learning from, and teaching world-class experts in areas outside their expertise.

The candidate will join a multi-disciplinary team of scientists and engineers and support multiple teams across the company. We currently have multiple internship and fulltime opportunities in the area of SW development and engineering (please check out our more specific openings first before applying to this one!). If the candidate is interested in multiple positions, they may select one to apply to and make a note in their application. This position is open to both on-site and remote candidates (including Canada)

Required Qualifications

  • Currently enrolled in or completed a Bachelor's or Master’s degree in Computer Science, Electrical Engineering, or a related field.
  • 3+ months experience working on production software.
  • Experience building production type software, leveraging basic OO design/development skills, and practicing solid documentation methods.
  • Experience with modern programming languages. (Python, Java, C/C++, Golang, JavaScript for Node).

Preferred Qualifications

  • 1+ years experience working on production software.
  • Experience successfully planning, organizing, and conducting software or algorithm development projects in a dynamic environment. Experience with code review and task management processes are a plus.
  • Experience designing, creating, and/or supporting machine learning applications and data scientists.
  • Likes California, DC, Montreal, or even remote for the right candidate / role!

Top Skills

C
C++
Go
Java
JavaScript
Python
The Company
HQ: Washington, DC
23 Employees
On-site Workplace

What We Do

Plato unlocks the power of digital transformation and industrial automation through its integrated Spatial Intelligence (TM) system and platform. Plato Deep Fusion perception technology tracks activity patterns of people, equipment, and assets in industrial environments – making it the world’s first tagless activity tracking system. Plato provides a reliable, frictionless, and scalable automation solution that delivers actionable KPIs so businesses can improve safety, optimize process efficiency, and increase productivity.

Pioneered by Stanford academics and commercialized by industry experts, the Deep Fusion multi-sensor system provides robust tagless target tracking and scene understanding using a combination of model and ML based algorithms on an embedded edge compute platform.

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