Drimva

Mythic

Principal Camera & Sensor Applications Engineer

$180K–$270K

Palo Alto, CA +1 · Hybrid · Principal · Full-time · Posted Sep 4, 2026

Location
Palo Alto, CA
Israel
Experience
10+ years in camera systems, imaging, or embedded vision, including senior technical or team leadership.

About the job

Leads customer-facing camera and sensor applications work, translating use cases into requirements and developing demonstrations, reference designs, and validation plans for Mythic technology.

What you'll do

  • Lead customer engagements, technical evaluations, integration support, troubleshooting, and design-in.
  • Develop demonstrations, evaluation kits, reference designs, and proof-of-concept systems integrating sensors with Mythic technology.
  • Translate customer needs into product requirements and system-level validation criteria, advising engineering teams and roadmap decisions.

What they ask for

  • 10+ years in camera systems, imaging, or embedded vision, including senior technical or team leadership.
  • Deep expertise in 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 and proven ability to author functional specifications, MRDs/PRDs, and prioritized engineering requirements.

Nice to have

  • Experience deploying vision models on embedded or specialized AI accelerators; familiarity with edge AI, SoC integration, or compute-in-memory architectures.
  • Hands-on development of reference designs, evaluation kits, or proof-of-concept camera systems; semiconductor-side experience with image sensors or ISP product definition.

Pay

USD 180,000–270,000 (per-year-salary) — base salary

Tools

image sensors, optics, ISP, edge AI, SoC integration, compute-in-memory architectures

AI focus

Applies embedded AI to camera and sensor systems; evaluates AI performance and supports deployment of vision models on embedded or specialized AI accelerators.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)