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This position was posted on April 24, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!

Up Labs Inc. logo

Optimization Systems Engineer, Lead

Job Overview

Location

Remote

Job Type

Full-time

Category

Engineering

Date Posted

April 24, 2026

Full Job Description

📋 Description

  • As an Optimization Systems Engineer, Lead at Up Labs Inc., you will own the integration architecture between scheduling and optimization algorithms and the product platform, ensuring that algorithmic intelligence works reliably in real-world manufacturing environments.
  • Day to day, you will design how scheduling algorithms and constraint solvers plug into the platform, own interfaces and data contracts, architect production-grade systems around optimization approaches, evaluate solver tradeoffs, and collaborate with data science and platform teams to define data needs and latency requirements.
  • You will join a small, technical team in the 0-to-1 phase building scheduling intelligence for manufacturers, with no legacy codebase, where every design decision is still on the table and you will have significant influence over architecture, technical roadmap, and product direction.
  • In this role, you will deepen your expertise in bridging algorithmic intelligence with production software, gain leadership experience as we scale, and shape how manufacturers sense, respond to, and learn from schedule disruptions through a fundamentally new approach to scheduling intelligence.

Skills & Technologies

Python
Senior
Remote

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About Up Labs Inc.

Up Labs is a digital product studio that specializes in building custom software solutions for businesses. They focus on creating user-centric applications, websites, and mobile apps that drive growth and innovation. Their services include product strategy, UI/UX design, front-end and back-end development, and ongoing support. Up Labs works with startups and established companies across various industries, helping them transform ideas into successful digital products. They emphasize collaboration, agile methodologies, and a commitment to delivering high-quality, scalable solutions tailored to each client's unique needs and objectives.

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