• Build manufacturing data foundations
• Architect and integrate end-to-end manufacturing data systems (MES, testers, cloud) across the supplier network to capture accurate production data.
• Standardize data models and improve traceability to ensure data integrity from raw components through to final product shipment.
• Establish robust data-quality checks, validation rules, and monitoring frameworks to drive reliable operational decision-making.
• Develop machine-vision systems for the factory
• Identify and implement high-value machine vision and image-based inspection opportunities across factory operations.
• Design and deploy end-to-end vision systems, covering hardware specifications (optics, cameras, lighting) and the development of robust classical and deep-learning algorithms.
• Establish data-labeling workflows and model validation frameworks to translate vision insights into actionable manufacturing decisions that optimize yield and quality.
• Automate manufacturing analysis
• Build and deploy automated analysis engines and ML/Vision models to detect process drift, defects, and anomalies directly in the production environment.
• Implement automated dashboards and alerts, correlating images with process parameters and test data to accelerate root-cause analysis and prevent yield loss.
• Develop reusable analytics libraries and tools to scale data-driven insights across Oura’s manufacturing programs and partner network.
• Explore digital-twin and simulation approaches to model manufacturing scenarios, line capacity, and process flows to optimize production before hardware availability.
• Drive deployment and strategy
• Lead the technical execution of data, machine-vision, and analytics workstreams through all NPI phases, from EVT and DVT to mass production and sustaining.
• Collaborate with cross-functional teams, contract manufacturers, and equipment vendors to define technical requirements, acceptance criteria, and robust deployment/maintenance standards for production systems.
• Identify and prioritize high-impact opportunities in industrial AI, vision, and connected manufacturing to address production pain points and optimize quality, yield, and cycle time.
• Define and communicate the long-term manufacturing intelligence roadmap, establishing reusable data/vision standards and effectively influencing leadership and stakeholders on technical investments.

This is a hybrid role out of our San Francisco office.

What you'll bring

• 5 to 8 years of relevant experience in manufacturing software, industrial data science, machine vision, automation, test engineering, supplier development, or an equivalent combination of experience.
• Bachelor’s or master’s degree in computer science, electrical engineering, mechanical engineering, manufacturing engineering, robotics, data science, or a related field.
• Experience deploying software, analytics, or machine-learning solutions in a factory, lab, warehouse, or other production environment.
• Strong Python programming skills and experience with data-processing and machine-learning libraries such as pandas, NumPy, scikit-learn, PyTorch, or TensorFlow.
• Experience with computer vision and image-processing techniques, such as OpenCV, image classification, object detection, segmentation, OCR/OCV, anomaly detection, or metrology.
• Understanding of MES, manufacturing test systems, equipment interfaces, PLC or industrial-control data, and unit-level traceability concepts.
• Experience with statistical methods, design of experiments, process capability, SPC, measurement-system analysis, or manufacturing-quality analysis.
• Demonstrated ability to work directly with contract manufacturers, suppliers, equipment vendors, and cross-functional engineering teams.
• Willingness and ability to travel regularly to manufacturing sites in Asia and other supplier locations.

• Experience integrating cameras, lighting, lenses, barcode readers, robots, PLCs, motion systems, or automated inspection equipment.
• Experience with digital manufacturing, discrete-event simulation, digital twins, or factory capacity modeling.
• Experience with electronics, battery, precision assembly, SMT, molding, coatings, laser processing, or other high-volume consumer-electronics manufacturing processes.
• Strong technical writing and stakeholder-management skills, including the ability to influence without direct authority.

At Ōura, we care about you and your well-being. Everyone here at Ōura has a ring of their own and we are continually looking to improve employee health.

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Ōura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Ōura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

Region 1 $172,550 - $203,000

A recruiter can determine your Region based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI).

Disclaimer: Beware of fake job offers!

We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:

• Our jobs are listed only on the ŌURA Careers page and trusted job boards.
• We will never ask for personal information like ID or payment for equipment upfront.
• Official offers are sent through Docusign after a verbal offer, not via text or email.

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To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.