Computer Vision Engineer - Embedded Systems

Job Description

Help Build Next-Gen Video Systems for Space and National Security Applications!

Opportunity Summary

A rapidly growing venture-backed startup at the intersection of video technology and aerospace is searching for a talented Computer Vision Engineer with deep expertise in embedded systems. We're building cutting-edge solutions that integrate high-speed imaging, machine learning, and advanced perception algorithms into mission-critical systems for use in space exploration and national defense. As part of a small, elite team, youll lead the development of real-time computer vision pipelines deployed on resource-constrained hardware platforms. This is a rare opportunity to shape the technical foundation of a first-of-its-kind visual intelligence platform used in both commercial and government space applications.

About Us

We are a stealth-mode deep tech company based in Southern California, dedicated to redefining how machines perceive and understand their environments. With proprietary video software at the core of our platform, were enabling high-performance object detection and tracking for use in spaceflight, aerospace defense, and beyond. Backed by top-tier investors, our team blends experience from top aerospace and AI organizations and is united by a shared mission to push the boundaries of whats possible with vision-based intelligence in space.

Job Duties

Build and deploy real-time computer vision algorithms to detect, classify, and track objects in motion using high-speed video feeds

Architect, implement, and optimize ML models for performance on embedded systems with strict power and memory constraints

Integrate software solutions with embedded platforms, including camera systems, image sensors, and custom compute hardware

Own end-to-end development of video processing features, from design to testing to production-level deployment

Continuously evaluate new research in machine learning and visual perception to improve performance and expand capabilities

Perform debugging and performance tuning of video pipelines running on multi-core or GPU-accelerated architectures

Mentor junior engineers and participate in peer reviews and collaborative design discussions

Document algorithmic design decisions, interface specifications, and testing methodologies clearly and concisely

Qualifications

Bachelors degree or higher in Electrical Engineering, Computer Science, Physics, or related field

4+ years of hands-on experience building machine learning or computer vision algorithms for production use

Strong programming background in Python and C/C++, with an emphasis on real-time systems and embedded development

Familiarity with model optimization techniques for embedded deployment, including quantization and pruning

Experience working with ARM-based SoCs, microcontrollers, or FPGAs

Proficiency in software-hardware integration and debugging, including use of simulators or profiling tools

Solid knowledge of classic image processing methods and camera system fundamentals

Exposure to RTOS environments and performance optimization for latency-sensitive applications

Preferred Experience

Hands-on experience with GPU acceleration frameworks or FPGA-based ML deployment

Familiarity with high frame rate video processing and associated system design tradeoffs

Background in aerospace, robotics, or defense systems integration

US Citizenship or Permanent Residency strongly preferred due to project sensitivity

Security Clearance

Must be able to obtain US Secret clearance.

Why Join Us

Opportunity to build technology at the forefront of defense, aerospace, and AI

Small team environment with big impact, your work will directly shape the future of our platform

Learn, contribute, and grow alongside world-class engineers and scientists

Flexible and collaborative work culture

Equity participation potential

Health, dental & vision insurance

401k

Compensation Details

$120,000 - $200,000

Full-time