Software Engineering Internship at Tractian (Atlanta, GA)

Tractian· Atlanta, GA·1d ago

Role details

Work type

Onsite

Employment

Full-Time

Job description

Software at TRACTIAN The software department at TRACTIAN is at the forefront of innovation, crafting an integrated ecosystem that revolutionizes maintenance and process management. Comprising a dynamic team of experts, the department develops an all-in-one software solution that seamlessly combines predictive maintenance capabilities with a comprehensive Computerized Maintenance Management System (CMMS). This visionary approach empowers maintenance and process teams with a unified platform, enabling them to proactively predict equipment failures, optimize maintenance workflows, and enhance operational efficiency. In daily work the software department drives the convergence of cutting-edge technology and maintenance excellence to propel businesses toward unparalleled success.

What you'll do

As a Software Engineering Intern, you will work alongside our engineering team to support the development and enhancement of key features across our applications and systems. You will contribute to building and refining solutions that are both user-centric and technologically sound, while gaining hands-on experience with our product's overall functionality and development practices.

Responsibilities

Build & Improve Features: Contribute to building and improving components of Tractian's web and mobile applications.
Support ML Pipelines: Collaborate on machine-learning pipelines, model integration, and real-time inference systems under guidance.
Write Quality Code: Write, test, and review clean, maintainable code using modern frameworks.
Support API Development: Help develop APIs and automation tools that enhance predictive maintenance capabilities.
Troubleshoot Issues: Help troubleshoot and resolve software issues to support scalability, speed, and accuracy.
Learn the Full Cycle: Gain exposure to real-world software development cycles and learn how AI-powered features move from concept to release.
Contribute Across the Stack: Contribute to back-end and front-end feature development under mentorship.
Support Performance Work: Help optimize system performance and scalability in cloud environments.
Assist with AI/ML Deployment: Assist in deploying and validating AI/ML models within production applications.
Document Your Work: Document code, APIs, and integrations clearly for future team use.
Collaborate Cross-Functionally: Work with cross-functional teams, including hardware, firmware, and product, to support seamless interoperability.

Requirements

Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field.
Proficiency in at least one language: Python, JavaScript, TypeScript, Go, or C++, gained through coursework or personal projects.
Exposure to web frameworks (React, Node.js, Flask, FastAPI, etc.) or back-end systems.
Genuine interest in AI, machine learning, and IoT-driven data systems.
Strong analytical, problem-solving, and collaboration skills.

What You'll Gain

Hands-on experience building AI and machine-learning applications that power industrial intelligence.
Mentorship from engineers and data scientists solving production-level challenges.
Exposure to predictive-maintenance analytics and industrial machine learning.
A chance to help shape the future of smart maintenance and industrial AI.

Why work at Tractian

Meaningful work: Directly empower the industrial and frontline workers who keep the global economy moving.
High-growth environment: 51%+ yearly headcount growth and strong external recognition make this a fast-moving, high-visibility place to build a career.
Engineering culture: Hardware developers, data scientists, and software engineers build cutting-edge technology from scratch on complex, hard-to-solve problems.
Values ("Blue Caps"): Customer obsession, transparency, ownership, demanding-and-supportive leadership, and uncompromising quality.
Flexibility: Work types include Remote, Hybrid, and On-site roles, depending on position and location.
Compensation & culture: Employee reviews show a 4.0/5.0 overall rating, with strong marks for compensation (4.5) and career development (4.1).
Open technical roles: Actively hiring for Analytics Engineer, Senior Data Engineer, Senior Frontend Software Engineer, and more.

About Tractian

Company Overview

One-liner: Tractian is an industrial operating system company that combines AI-driven hardware, software, and sensor technology to predict machine failures, eliminate production downtime, and boost operational efficiency for factories worldwide.
Entity Type: Private (Series C, $120M raised as of December 2024)
Headquarters: Atlanta, Georgia, United States (with a significant hub and co-origin office in São Paulo, Brazil)
Founded: 2019
Founders: Igor Marinelli (CEO and Founder)

Core Business

Primary industries: Industrial IoT, Predictive Maintenance, Asset Condition Monitoring, Artificial Intelligence, Manufacturing Software
Target customers: B2B, Enterprise, Industrial operators (manufacturing plants, shop floors, maintenance teams)
Mission: To eliminate production downtime and elevate human potential in factories worldwide — bridging the gap between humans and machines by making maintenance and reliability a streamlined, cost-efficient advantage.

Products & Services

Tractian Asset Condition Monitoring Platform: An end-to-end software solution that tracks, prioritizes, and acts on machine health data, providing clear priorities, reduced downtime, and higher uptime.
Industrial-Grade Sensors: Hardware devices built for accuracy and high-fidelity data collection on machine vibration, temperature, and other condition metrics.
Industrial Copilot (AI): A GPT-based, specialized AI assistant that generates specific, actionable insights tailored to industrial environments, avoiding the context and accuracy issues of generic large language models.
Assisted Maintenance: A category pioneered by Tractian, using AI to identify problems on machines and suggest preventive actions, supporting maintenance professionals in real time.

Market Standing

Valuation/Market Cap: Not publicly disclosed (private company); raised $120M in Series C in December 2024.
Key Metric: Total funding across 7+ rounds includes a $120M Series C (Dec 2024), a BRL 230M Series B (Aug 2023), and earlier seed rounds; annual revenue not publicly available (reported as $5M by a third-party aggregator, but considered a low estimate not confirmed by the company).
Notable Investors/Partners: Investor names not fully listed in public sources, but the Series C round included 4 investors and the Series B had 8 investors; the company has raised from multiple funds across its history.
Growth Signals:
- Headcount grew 51.4% YoY to 405 employees (with 287 net-new hires)
- Ranked #24 Fastest-Growing Company in North America
- 126 active job openings at time of research
- 110,000+ LinkedIn followers, growing 20.1% yearly
- Customers' operations generate over 5% of global industrial GDP
- Clients see 6–12x ROI, with an average of $6,000 saved per monitored machine annually

Competitive Advantages

Only end-to-end platform in the market that combines hardware sensors, software, and AI to prevent machine failures and protect production.
Specialized AI for industry: Unlike generic LLMs, Tractian’s Industrial Copilot is trained/contextualized for industrial environments, providing precise, accurate, and actionable insights.
First-mover category leadership: Pioneered the "Assisted Maintenance" category and is recognized as a leader in IoT and Asset Management.
Deep industry expertise: Built by and staffed with people who understand shop-floor challenges, ensuring the product is practical and adopted by frontline workers.

Strategic Focus

Scaling its position as the Industrial Copilot — moving beyond predictive maintenance to a broader AI-driven operational copilot that drives direct ROI.
Expanding global footprint across North America, South America, and Europe (with existing offices in Atlanta, São Paulo, Germany, and Spain).
Growing engineering, data, and go-to-market teams to accelerate product development and market penetration.
Continuing to digitize the largely undigitized industrial sector, enabling AI-driven optimization for manufacturing plants of all sizes.

Sources