- Unleash Your Engineering Vision
- What You’ll Achieve Daily
- Unlock Career Growth Here
- Your Future Compensation Package
- Essential Skills You Need
- Your Next Steps Forward
- Frequently Asked Questions
Embark on an exciting journey as a Computer Vision Engineer, leveraging your expertise to craft innovative solutions for complex industrial challenges. This unique full-time opportunity with Quartus Engineering in San Diego, CA, invites a visionary problem-solver to shape the future of automated inspection and metrology.
Unleash Your Engineering Vision
Quartus Engineering, a premier provider of sophisticated engineering services and integrated hardware solutions, empowers clients across diverse industries with cutting-edge technology. The firm excels in employing advanced computer-aided engineering tools, spanning optics, structural analysis, thermal dynamics, and coupled systems.
Beyond analysis, Quartus seamlessly integrates design, prototyping, integration, and testing capabilities, delivering extraordinary value to its clientele. This particular opening places you within the dynamic Industrial Metrology, Robotics, and Vision Systems (IMRVS) Sector, which specializes in developing robust solutions for precision manufacturing and automation. An insider tip: Quartus prides itself on transforming high-level client needs directly into deployable, turn-key inspection instruments, cutting through traditional development cycles.
What You’ll Achieve Daily
As a pivotal member of a multidisciplinary team, you will translate intricate project requirements into precise algorithm designs and specifications. Your daily tasks will involve implementing advanced computer vision algorithms for crucial functions such as calibration, metrology, and defect detection.
A fundamental aspect of your contribution involves quantifying algorithm performance through thoughtfully designed experiments, often collaborating with human experts to establish accurate ground truth information. You will meticulously analyze algorithm efficacy using large datasets, applying statistical methods and data visualization to iteratively refine results. An insider tip: your ability to distill complex data insights into clear, actionable improvements is highly valued, directly influencing product evolution.
Together with optical engineering domain experts, you’ll review and integrate their specialized code contributions. This collaborative environment extends to working with the broader software team, ensuring your algorithms seamlessly integrate into larger, complete applications.
Unlock Career Growth Here
Quartus fosters a culture built on core values: “People First,” “Integrity,” “Curiosity,” and “Bold,” attracting individuals passionate about continuous learning. The firm actively seeks resourceful engineers eager to apply sophisticated principles and techniques to solve a myriad of technical problems.
Beyond the immediate challenges, Quartus provides a comprehensive benefits package designed to support employee well-being and long-term financial security. This inclusive environment supports a diverse workforce, actively valuing contributions from minorities, women, individuals with disabilities, and protected veterans.
- Performance Bonus: Participate in a discretionary bonus program based on individual and company performance.
- Employee Stock Ownership Plan (ESOP): Gain a direct stake in the company’s success, fostering a sense of shared prosperity.
- Health and Wellness: Access robust medical, dental, and vision insurance plans for you and your family.
- Retirement Savings: Secure your future with a 401k plan featuring a generous company match.
Who Should Apply
This opportunity is ideal for collaborative team players committed to innovation and precision in a hybrid work environment based in San Diego, CA. Candidates who thrive in an atmosphere of continuous learning and possess a strong problem-solving acumen will excel. An insider tip: demonstrating a genuine passion for applying engineering principles to real-world, industry-leading automated systems will distinguish your application.
Your Future Compensation Package
The compensation for this challenging yet rewarding position is highly competitive, offering a base pay range from $64,693 to $127,907 annually. This generous range reflects the impact and expertise required for this specialized engineering discipline.
Beyond the base pay, successful candidates are eligible for additional compensation and a robust suite of benefits. The overall package is designed to attract and retain top-tier talent, ensuring financially sound and personally rewarding careers. An insider tip: the Employee Stock Ownership Plan empowers team members to benefit directly from Quartus’s growth, offering a unique long-term financial incentive not commonly found in many companies.
Essential Skills You Need
Securing this advanced engineering position requires a solid foundation in computer science or related quantitative fields, combined with practical experience. Successful applicants will demonstrate a blend of academic knowledge and hands-on skill development. This role is open to individuals with 0-4 years of industry experience, emphasizing capability over extensive tenure.
Quick Requirements
Possessing a Bachelor’s degree in Computer Science, Electrical Engineering, or a highly quantitative field is mandatory for consideration. You must demonstrate previous experience developing sophisticated computer vision and image processing algorithms. These include, but are not limited to:
- Image filtering and preprocessing techniques.
- Frequency domain analysis for image manipulation.
- Segmentation, object detection, and classification methods.
- Point set registration and 3D pose estimation.
Proficiency in either Python or MATLAB is essential for rapid algorithm prototyping and testing. Experience utilizing key libraries like OpenCV, Scikit-Image, or the MATLAB image processing toolbox will be critical. Furthermore, candidates should be proficient in at least one deep learning framework, such as PyTorch, Keras, or TensorFlow. An insider tip: while demonstrating knowledge of modern computer vision models (YOLO, ViT, DINO(v2), SAM(2)) is highly advantageous, showing an aptitude for quickly mastering new, emerging architectures can be just as impactful.
General software engineering skills are fundamental, encompassing object-oriented design principles and experience with the Git version control system. Your ability to analyze large datasets, generate compelling visualizations, draw astute conclusions, and effectively communicate these insights to your team is crucial. Candidates must also possess experience with machine learning techniques, including neural networks, support vector machines, and ensemble learning. Please note, applicants must be a US Person (U.S. Citizen or Legal Permanent Resident).
Preferred Qualifications enhance an application, including a Master’s degree, a strong background in statistics and machine learning fundamentals, and experience with mathematical optimization. Additional valuable experience spans camera calibration, automated inspection, and proficiency in compiled languages like C++ for performance-critical components.
Your Next Steps Forward
This outstanding opportunity for a pioneering technologist will close soon, so immediate action is highly recommended to secure your place. The demand for skilled professionals in this cutting-edge field is intense, pushing the deadline for submissions closer with each passing moment.
Application Deadline
Act swiftly! Applications are being reviewed on a rolling basis, with an urgent need to fill this role; therefore, please submit your materials within the next fourteen days from today to ensure full consideration. Opportunities like this vanish quickly, highlighting the importance of a prompt response.
How to Apply
The application process is straightforward but requires meticulous attention to detail, showcasing your readiness for this advanced role. Follow these steps precisely to present your qualifications effectively:
- Visit the Quartus Website: Navigate directly to www.quartus.com and locate the careers section.
- Find Job ID 033QE: Search for the Computer Vision Engineer listing, identified by its unique ID.
- Complete the Online Application: Fill out all required fields with accurate and comprehensive information.
- Upload Your Resume: Submit a current resume that clearly highlights your relevant experience, skills, and projects.
- Submit Supporting Documents: Include a cover letter detailing your specific interest in this opportunity and how your qualifications align with Quartus’s mission.
An insider tip: a well-crafted cover letter that specifically addresses the IMRVS sector’s work and how your projects align with automated optical inspection will make your application stand out from the submissions. “The future of precision engineering is forged where intelligent vision meets innovative solutions, creating extraordinary value for all.”
Join Quartus Engineering and contribute to an innovative team pushing the boundaries of what’s possible in advanced computer vision solutions. Your contributions will directly impact next-generation automation and intelligent metrology. Apply today to transform challenges into industry-leading solutions and elevate your career trajectory within a thriving, forward-thinking enterprise.
Frequently Asked Questions
Q1: Is relocation assistance provided for this role?
A1: The job is based in San Diego, CA, with a hybrid schedule; relocation assistance is not explicitly mentioned in the initial offering. You should inquire directly during the interview process for specifics.
Q2: What is the typical team structure for a Computer Vision Engineer at Quartus?
A2: You will collaborate within a multidisciplinary team, regularly interacting with optical engineers, software engineers, and domain experts to integrate algorithms into larger applications. This fosters a highly collaborative and integrated work environment.
Q3: Can candidates with only research experience apply, or is industry experience mandatory?
A3: The listing specifies 0-4 years of industry experience; however, exceptional candidates with equivalent demonstrable experience in a research setting, particularly with practical application development, are encouraged to highlight these skills in their application.
