Computational Imaging Engineer (AI)

Location: Los Angeles, Palo Alto, or Santa Monica, United States. The role follows a default-together policy and requires working in an office 4+ days per week. Travel up to 15% is expected.

Base salary: $133,000–$200,000, $149,000–$223,000, or $157,000–$235,000 annually, depending on the assigned U.S. pay zone. The position is also eligible for RSU equity.

Company

hirify.global develops visual communication, augmented reality, camera, wearable, and digital experience products including hirify.globalchat, Lens Studio, and Specs.

What you will do

• Develop image signal processing pipelines for next-generation computational imaging platforms.
• Collaborate across optics, sensors, computer vision, compute, engineering, vendor, and supplier teams.
• Influence architecture decisions and drive consensus on critical technical trade-offs.
• Develop test methodologies and characterization plans for camera ISP performance.
• Lead root cause analysis and corrective actions for sensor performance issues.
• Work with internal and external resources while managing multiple deadlines.

Requirements

• Bachelor’s degree in optics, physics, electrical engineering, computer science, or a related field.
• 2+ years of experience in computational imaging for computer vision applications.
• Experience with computational imaging, computer vision, and machine learning for image processing.
• Experience developing and optimizing ISP and machine learning algorithms for camera products.
• Experience with non-traditional image sensors such as SPADs, jots, SiPMs, event sensors, or neuromorphic sensors.
• Software development and data analysis skills using C++, MATLAB, Python, or similar tools, plus knowledge of optics, camera systems, image quality, and ISP pipelines.

Nice to have

• Master’s or PhD in a relevant technical field.
• 4+ years of experience designing robust computer vision algorithms for consumer electronics.
• Experience building camera systems for AR/VR, wearables, or mobile platforms.
• Experience with edge or distributed compute ISP pipelines, event-based processing, depth mapping, dTOF systems, or pixel- and sensor-level logic.

Culture & Benefits

• Default-together working model focused on in-person collaboration.
• Paid parental leave and comprehensive medical coverage.
• Emotional and mental health support programs.
• Compensation packages including RSU equity and benefits for employees and their families.
• Equal opportunity employment and consideration for applicants with criminal histories in accordance with applicable law.