Software Engineering Application 2026: Join Matrice AI
Want to build software that does more than look impressive in a demo? Matrice AI is looking for hands-on engineers ready to build dependable, real-time AI infrastructure that can operate at serious scale.
This opportunity is built for engineers who enjoy solving difficult problems, understanding systems from first principles, and taking responsibility for what they ship.
View Application Details ↓About Matrice AI: Building Technology That Matters
Matrice AI is focused on transforming raw visual data into useful, actionable intelligence for businesses. Its approach is built around a simple principle: “Shields, Not Toys.”
The goal is to develop mission-critical Vision AI infrastructure that helps protect people and property. In this environment, reliability is not just a technical metric. It is part of the product's purpose.
The company's stated 2026 mission is to scale its infrastructure to support 10 million cameras by year-end, while targeting 99.999% reliability. Reaching that level of scale calls for engineers who think carefully about failures, performance, observability, and the consequences of their technical decisions.
If you enjoy working on systems where engineering quality matters beyond the screen, this is the kind of challenge worth exploring.
Software Engineering Role Overview
Matrice AI is seeking sharp-minded software engineers who want to contribute to real-time AI pipelines and the infrastructure behind them. The environment is described as demanding and fast-paced, with a strong emphasis on ownership, execution, and continuous feedback.
This is not simply about writing code that passes a test. Engineers should be prepared to understand the wider system, investigate unexpected behaviour, make sound technical decisions, and take features from implementation through debugging and delivery.
The recruitment is intended for several engineering disciplines, including front-end, back-end, full-stack, systems, security, DevOps, and support engineering. Machine Learning Engineering roles are excluded from this particular application.
Candidates should be comfortable working independently while communicating clearly with teammates. If a problem is difficult, the expectation is to investigate it, understand the trade-offs, and take responsibility for the result.
Technology Stack: What Engineers Should Know
The engineering stack combines backend services, data storage, analytics, orchestration, and modern web development. Your strongest preparation should focus on the technologies most relevant to the discipline you intend to apply for.
- Go: Strongly preferred for backend engineering and required for the coding challenge for back-end and full-stack candidates.
- JavaScript: The stated programming language for front-end coding assessments.
- MongoDB: A document database used in modern application architectures.
- ClickHouse: A column-oriented analytical database designed for demanding analytical workloads.
- Kubernetes: Container orchestration for deploying and managing applications.
- MERN: A JavaScript-oriented application stack comprising MongoDB, Express, React, and Node.js.
- Next.js: A React framework for building web applications.
- AWS, Google Cloud and Azure: Major cloud platforms relevant to deploying and operating services.
You do not need to present yourself as an expert in every technology listed. Build a solid understanding of the tools relevant to your intended role and be ready to explain why you would use one approach instead of another.
Engineering Roles Covered by This Application
This application covers several engineering disciplines. Identify the path that best matches your skills and experience before starting the assessment.
Front-End Engineering
Focus on building usable, responsive interfaces and dependable client-side experiences. JavaScript proficiency is essential for the stated front-end coding assessment.
Back-End Engineering
Focus on application logic, APIs, data storage, reliability, and backend system behaviour. Go is required for the back-end coding challenge.
Full-Stack Engineering
Work across the interface and server-side application. Candidates should be ready to demonstrate Go proficiency for the coding challenge and understand how frontend and backend components work together.
Systems, Security and DevOps
These paths involve different aspects of infrastructure, system reliability, secure operation, deployment, and troubleshooting. Strong computer science fundamentals are valuable across these areas.
Support Engineering
Technical support work can require careful investigation, debugging, system understanding, and the ability to explain technical issues clearly and methodically.
Important: Machine Learning Engineering roles are excluded from this application. The supplied application form is the place to review and submit your details.
Skills and Expectations
Matrice AI places particular importance on computer science fundamentals. Candidates should be ready to demonstrate practical understanding, not just familiarity with framework names.
- Algorithms and data structures: Understand common data structures, complexity, algorithm design, and trade-offs.
- Operating systems: Be comfortable with processes, threads, memory, concurrency, and resource management.
- Networking: Understand HTTP, TCP/IP fundamentals, DNS, latency, and how services communicate.
- Problem-solving: Break down unfamiliar problems and work towards a correct, efficient solution.
- Debugging: Investigate unexpected behaviour systematically instead of guessing at fixes.
- Ownership: Take responsibility for implementation quality, testing, and the outcome of your work.
- Communication: Explain technical decisions clearly and discuss alternatives with confidence.
The company describes its culture as high-performance, with continuous feedback and an emphasis on extreme ownership. Applicants should consider whether this demanding environment fits the way they prefer to work.
Recruitment Process: What to Expect
The stated recruitment process consists of two stages. Use the information below to organise your preparation.
Stage 1: Coding Challenge
Candidates will complete a hands-on programming assessment involving a complex problem described as comparable to medium-to-hard LeetCode difficulty.
- Front-end candidates should prepare to code in JavaScript.
- Back-end and full-stack candidates are required to use Go.
- Practise identifying edge cases and choosing appropriate data structures.
- Test your implementation rather than assuming that a solution works.
Stage 2: Technical Interview
The technical interview covers system design, distributed architecture, and computer science fundamentals. Be ready to discuss the reasoning behind your design choices, potential failure modes, and trade-offs.
For system design preparation, practise explaining how a service handles growing traffic, what happens when a dependency fails, how data is stored, and how you would monitor the system in production.
Remote Work, Compensation and Availability
This is described as a global remote position, with compensation benchmarked to the Indian market.
Candidates should carefully assess the compensation arrangement, work expectations, and their own circumstances before proceeding. The supplied information does not specify an exact salary range, benefits package, or contractual arrangement.
Matrice AI is looking to expand its team urgently and states that candidates available to start immediately or after a short notice period will be prioritised.
If you are currently employed, be honest about your availability. If you can start soon, make your expected start date clear in your application where appropriate.
How to Prepare Before Applying
A thoughtful application helps you communicate your skills and gives you a clear starting point for technical preparation. Before submitting, work through this checklist.
- Update your CV with relevant experience, projects, and measurable results.
- Check your chosen programming language against the requirements for your role.
- Review data structures, algorithms, networking, and operating systems.
- Practise coding under realistic time constraints.
- Prepare to explain the design and trade-offs of projects you have built.
- Check your links, email address, phone number, and portfolio for errors.
- Review the application form and answer its questions accurately.
One important instruction from Matrice AI is that candidates should complete the questionnaire independently, without AI assistance. The company wants to assess each applicant's own problem-solving skills and technical depth.
Respect that instruction when completing the actual application. You can use the preparation checklist above to organise your study, but your assessment responses and solutions should be your own work.
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Hiring decisions, eligibility requirements, compensation, and recruitment timelines are determined by the relevant employer. Please review the original application information and submit accurate details.
Ready to Apply for the Matrice AI Software Engineering Opportunity?
If your experience matches the role and you're ready to demonstrate your technical ability, review the application form and complete it independently. Check your answers carefully before submitting.
Remember: front-end candidates should prepare for JavaScript, while back-end and full-stack candidates are required to use Go for the coding challenge.
APPLY FOR THE ROLE ↗Application form opens in a new tab. Recruitment details and assessment requirements should be confirmed in the form.
Not the right role for you? Explore the other opportunities linked above and keep building your skills. Every thoughtful application and every project you finish can move your career forward.
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