Full Stack Engineer at Machina Labs – Chatsworth | Jobyssey

About Machina Labs:

Engineering moves at software speed. Manufacturing doesn't. Yet.

Machina Labs is changing that. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By integrating advanced metal forming, robotics, and automated production inside a flexible factory architecture, we enable customers to move from prototype to production in weeks, not years.

Backed by Lockheed Martin, Toyota, and NVIDIA, we're building the manufacturing infrastructure that defense, aerospace, and advanced mobility programs will run on.

If you want to work on hard problems that matter and see them fly, drive, and defend, this is the place.

Job Description:

Machina Labs is seeking a Full Stack Engineer to join our software team and help build the systems that power our robotic sheet metal forming platform. In this role, you'll bridge the gap between the virtual and the physical, writing software that directly influences how giant robots shape real-world parts. You'll work across the stack in TypeScript and Python, collaborating closely with robotics and automation engineers, product managers, and quality teams to deliver reliable, performant software that drives manufacturing innovation.

Key Responsibilities:

Design, develop, and maintain full stack applications using Next.js (TypeScript) and Python.
Build and maintain real-time communication layers using WebSockets to connect software interfaces with robotic systems.
Collaborate with the robotics and automation team to integrate software with hardware systems and manufacturing workflows.
Work with product and quality teams to translate requirements into well-architected, testable features.
Develop and deploy containerized services, supporting CI/CD pipelines and production infrastructure.
Contribute to system design decisions, code reviews, and technical documentation.
Troubleshoot and resolve issues across the full stack, from frontend UI to backend services and real-time data streams.

Required Background & Experience:

Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
At least 4 years of relevant software engineering experience.
Strong proficiency in TypeScript with hands-on experience building applications in Next.js.
Solid Python development skills.
Working knowledge of WebSocket protocols and real-time communication patterns.
Experience with containerized deployments (Docker, Kubernetes, or similar).
Strong communication skills and a collaborative mindset, you'll be working across disciplines daily.
Comfortable operating in a fast-paced environment where software meets physical systems.

Preferred Qualifications:

Exposure to robotics, industrial automation, or manufacturing systems.
Experience with cloud platforms such as Azure or AWS.
Familiarity with CI/CD tooling (e.g., GitHub Actions).
Background in building real-time data visualization or monitoring dashboards.
Interest in the intersection of software, robotics, and advanced manufacturing.

*This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required for this role. Duties and responsibilities may change based on business needs.

Machina Labs is an Affirmative Action and Equal Employment Opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law.

We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications.

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Key Responsibilities:

Required Background & Experience:

Preferred Qualifications: