About Machina Labs
At Machina Labs, we’re reshaping manufacturing through advanced robotics and machine learning. Our platform uses the largest 6-axis robots on the market to form 2D sheets of metal into complex 3D parts, layer-by-layer.
Traditional sheet metal production was designed for scale, not flexibility. It relies on costly dies and tooling that make lower volume projects prohibitively slow and expensive. We’re changing that. Whether you’re a startup building a few thousand airframes or an automaker prototyping next-generation components, Machina Labs gives you the ability to iterate and manufacture at the speed of software.
With support from the venture arms of Toyota, NVIDIA, and Lockheed Martin, we’re accelerating the future of manufacturing, one where factories are flexible, production is on-demand, and innovation is unconstrained.
About the Role
We are looking for an experienced Senior Backend Engineer to join our exciting journey as part of our growing software engineering team. In this position you will work closely with technical leadership and a multi-disciplinary team of extremely talented engineers to deliver solutions found nowhere else. You'll help design and deliver backend infrastructure for real-time automation, cloud orchestration, and production-scale robotics manufacturing systems. At the baseline, you are a great team player, passionate about technology and software development, and find the idea of working with giant robots exciting.
What You’ll Do
Design and implement scalable backend services using TypeScript, Node.js and Python
Partner with the Head of Software and other engineers to design and build our software architecture
Own and maintain cloud-deployed systems on Azure government cloud
Build and optimize event-driven systems, working with tools like Kafka, MongoDB, and message queues (RabbitMQ, ZeroMQ, etc.)
Contribute to our CI/CD pipelines and support continuous delivery across environments
Collaborate cross-functionally with other engineers (e.g., DevOps, Frontend, Robotics, Mechanical, etc.) and product team members
Monitor, instrument, and optimize backend systems for observability and performance
Contribute to technical decision-making, team culture, and long-term scalability
What We’re Looking For
5+ years of experience as a professional software engineer, ideally at fast-paced startups
Strong command of JavaScript/TypeScript, and Python
Experience deploying and managing services in cloud environments (Azure preferred, but AWS, or GCP are acceptable)
Deep experience with system design, backend architecture, and distributed systems
Familiarity with databases (especially no SQL such as MongoDB), messaging systems, and containerized services
CI/CD experience
Experience with observability and monitoring platforms (logging, metrics and alerting systems)
Comfortable navigating ambiguity, thriving in ownership-heavy environments
Bachelor’s in computer science or equivalent practical experience
Nice to Have
Experience with Azure Cloud Services
Comfort with infrastructure as code
Exposure to tools like Kafka, Mosquitto, gRPC, GraphQL
Familiarity with machine learning and large datasets processing/visualization
We understand that not all people will tick all the points on the required skills, so if you feel that this job is a great match for your experience and skill set – feel free to apply regardless!
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.
