Mlops Jobs in Santa Rosa, CA (NOW HIRING)

About LuminX

Warehouses still run on clipboards and barcode guns. Every day, pallets move through loading docks where people manually scan labels, count cases, and verify shipments—and when something goes wrong, it may not be discovered until after the shipment has left.

LuminX is changing that. We are building the Visual AI Layer for the loading dock: compact AI camera systems that read barcodes, labels, case counts, and damage automatically as pallets move at forklift speed. Our systems operate on-device and in real time, giving warehouse teams evidence of exactly what crossed each door without adding another step to their workflow.

We are already deploying with customers in automotive and cold storage and are growing quickly. LuminX has raised $5.5 million in seed funding from investors including 1Sharpe, GTMFund, 9Yards, Chingona Ventures, and the Bond Fund. Our team includes people who have built AI, robotics, and industrial systems at Amazon Robotics, Tesla, Nvidia, Waymo, and Voxel.

The Role

We are hiring a generalist Software Engineer to build across the full LuminX stack—from customer-facing product experiences and backend services to infrastructure, data pipelines, and the systems that deploy and monitor our AI models.

This role is intentionally broad. You may spend one week building a workflow in our web application, the next improving an API or data pipeline, and the next making our model-deployment or edge-to-cloud infrastructure more reliable. You will work closely with our founders, machine-learning engineers, hardware team, and customers to solve the highest-impact problem, regardless of where it sits in the stack.

We are looking for someone early in their career who is already unusually capable: strong fundamentals, good product judgment, a bias toward action, and the willingness to take ownership without waiting for a perfectly defined specification. You should enjoy moving quickly, learning unfamiliar systems, and using modern AI development tools to increase your output without lowering the quality of your work.

What You’ll Do

• Build and improve customer-facing web applications that help warehouse teams review shipments, investigate exceptions, and act on real-time operational data.
• Design and implement backend services, APIs, and data models that connect LuminX devices, cloud systems, customer applications, and external warehouse systems.
• Develop reliable pipelines for images, detections, barcodes, labels, case counts, damage events, and other high-volume operational data.
• Own features end to end—from understanding the customer problem and choosing an approach through implementation, deployment, monitoring, and iteration.
• Improve cloud and edge infrastructure, deployment tooling, CI/CD, observability, reliability, security, and performance.
• Support MLOps workflows including model packaging, versioning, deployment, evaluation, monitoring, rollback, and coordination between edge devices and cloud services.
• Build internal tools that make hardware deployments, customer support, data review, testing, and model improvement faster and more repeatable.
• Integrate with customer systems such as warehouse-management, transportation-management, inventory, and reporting platforms.
• Use AI-assisted coding tools and software agents effectively for development, debugging, testing, and documentation while independently validating their output.
• Debug issues across frontend, backend, infrastructure, networking, data, edge devices, and machine-learning systems rather than stopping at team boundaries.
• Talk directly with customers and field teams when needed to understand how the product behaves in real warehouse environments.
• Help establish the engineering practices and technical foundations that will allow LuminX to scale from early deployments to hundreds of sites.

What We’re Looking For

• Two or more years of professional software-engineering experience, ideally in a fast-moving startup or similarly high-ownership environment.
• Strong computer-science and software-engineering fundamentals, including data structures, system design, testing, debugging, and practical tradeoff analysis.
• The ability to write clear, maintainable production code in at least one modern backend language and become productive quickly in unfamiliar languages and frameworks.
• Experience building backend services and APIs, working with relational databases, and operating software in a cloud environment.
• Enough frontend experience to independently build or modify product workflows using a modern web framework.
• Familiarity with containers, deployment pipelines, logging, metrics, alerting, and the fundamentals of reliable production systems.
• Practical experience with AI-assisted development tools and sound judgment about when to use them, how to verify their output, and when deeper engineering work is required.
• Comfort operating in ambiguity, prioritizing independently, and taking a problem from an incomplete description to a working production solution.
• A high degree of ownership, urgency, intellectual honesty, and follow-through.
• Strong written and verbal communication skills and the ability to work closely with technical and nontechnical teammates.

Nice to Have

• Experience deploying, serving, evaluating, or monitoring computer-vision or machine-learning models in production.
• Experience with edge computing, robotics, cameras, IoT devices, or systems that span physical hardware and cloud software.
• Experience with event-driven systems, streaming data, high-volume image pipelines, or distributed systems.
• Experience integrating with enterprise software, warehouse-management systems, EDI, or other operational platforms.
• Experience with infrastructure as code, Kubernetes, device fleet management, or multi-environment release systems.
• Experience working in logistics, warehousing, manufacturing, industrial automation, or supply-chain technology.

What Success Looks Like

Within your first several months, you will have shipped meaningful production work across more than one part of the stack and taken independent ownership of at least one important customer or platform workflow.

Over time, you will become someone the team trusts with ambiguous, cross-functional problems. You will help make the product faster to build, easier to operate, more reliable in the field, and capable of supporting a rapidly growing number of devices, customers, and AI workloads.

Why LuminX

You will join at a stage where a strong generalist can have disproportionate impact. The boundaries between product, infrastructure, AI, hardware, and customer operations are still being shaped, and your work will directly influence both the architecture and the product.

You will work on software that interacts with the physical world and is used in active warehouse operations—not another isolated web application. You will see the consequences of your decisions quickly, learn from real deployments, and own meaningful systems from the beginning.