Integration Engineer

Vision Integration EngineerWe are seeking a Vision Integration Engineer to join our Factory Software machine learning and computer vision team. In this role, you will be the hands-on bridge between our vision platform and the factory floor, deploying and integrating industrial camera systems, collecting high-quality datasets, and building models to solve real-world inspection challenges at scale. You will bring both depth in classical machine vision (optics, calibration, algorithm development) and fluency with modern ML-based inspection workflows. You will work closely with ML engineers, process engineers, and production teams to bring vision-based solutions from concept to full production.ResponsibilitiesInstall, configure, commission, and maintain industrial vision systems including cameras, lighting, optics, and mounting hardware across factory environmentsPerform camera calibration (intrinsic/extrinsic parameters, lens distortion, multi-camera geometry) to ensure system accuracy and repeatabilityDevelop and optimize vision algorithms for defect detection, inspection, and anomaly detection using Python, C++, C#, or HALCONPerform on-site data collection campaigns, ensuring proper image capture, labeling, and dataset curation for model training and validationBuild, train, and iterate on computer vision models using the factory vision platformDrive vision system reliability and uptime, tracking key metrics including cycle time, and quality yieldsTroubleshoot hardware and software integration issues across cameras, networking, compute modules, and platform connectivityCollaborate with ML engineers to define data requirements and validate model performance in productionWork with process and production teams to identify new inspection use cases and translate operational needs into deploymentsRequirementsDegree in Physics, Mechanical Engineering, Electrical Engineering, Computer Science, or equivalent experience3+ years of hands-on experience with industrial vision systems in a manufacturing environmentStrong knowledge of optics, lighting, and hardware selection, cameras, lenses, illumination, and image acquisition componentsUnderstanding of camera calibration: lens distortion, intrinsic/extrinsic parameters, multi-camera geometryExperience with image processing fundamentals (enhancement, thresholding, feature extraction) and computer vision concepts (object detection, segmentation, anomaly detection)Experience in developing vision software and algorithms and performing data analysis using languages and tools such as C#, Python, or HALCONExperience with model training workflows, dataset preparation, annotation, training, and evaluationExperience with linescan camera systemsStrong troubleshooting skills and effective cross-functional communication in a fast-paced manufacturing environmentCompensation & BenefitsBenefitsAlong with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:Medical plans > plan options with $0 payroll deductionFamily-building, fertility, adoption and surrogacy benefitsDental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contributionCompany Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSAHealthcare and Dependent Care Flexible Spending Accounts (FSA)401(k) with employer match, Employee Stock Purchase Plans, and other financial benefitsCompany paid Basic Life, AD&DShort-term and long-term disability insurance (90 day waiting period)Employee Assistance ProgramSick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid HolidaysBack-up childcare and parenting support resourcesVoluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insuranceWeight Loss and Tobacco Cessation ProgramsTesla Babies programCommuter benefitsEmployee discounts and perks programExpected Compensation $124,000 - $186,000/annual salary + cash and stock awards + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.