Principal Camera & Sensor Applications Engineer

What you'll do

External/Customer-Facing

- Lead initial technical engagements to understand customer imaging, sensing, and embedded-AI use cases, system architectures, and product constraints.

- Translate customer needs into measurable requirements for image quality, AI performance, latency, power, reliability, interfaces, and system cost.

- Define and develop customer demonstrations, evaluation kits, reference designs, and proof-of-concept systems integrating sensors with Mythic technology.

- Support customers through technical evaluation, system integration, troubleshooting, and design-in.

Internal-Facing

- Serve as the sensor and camera-system subject-matter expert, identifying where Mythic technology can add value across automotive, robotics, medical, consumer, and industrial applications.

- Translate system and customer requirements into MRDs, PRDs, functional specifications, and prioritized engineering requirements.

- Work closely with silicon, hardware, software, and AI teams to assess feasibility, identify capability gaps, and guide product-roadmap decisions.

- Define system-level validation plans and success criteria covering image quality, AI accuracy, latency, power, reliability, and overall customer experience.

What you'll bring

- 10+ years in camera systems, imaging, or embedded vision, including senior technical or team leadership.

- Deep expertise across the imaging signal chain: image sensors, optics, ISP, tuning and calibration, and image-quality measurement.

- Demonstrated success taking camera or vision systems from architecture and prototype through validation and volume production.

- Strong customer-facing technical skills — running evaluations, integration support, and troubleshooting with external engineering teams.

- Proven ability to author functional specifications, MRDs/PRDs, and prioritized requirements that engineering teams can execute against.

- Cross-functional fluency with silicon, hardware, firmware, software, and AI teams.

Preferred Qualifications

- Experience deploying vision models on embedded or specialized AI accelerators; familiarity with edge AI, SoC integration, or compute-in-memory architectures.

- Background spanning two or more of Automotive (ADAS/in-cabin), Robotics, Medical, Consumer, and Industrial imaging.

- Hands-on development of reference designs, evaluation kits, or proof-of-concept camera systems.

- Semiconductor-side experience with image sensors or ISP product definition.