Senior Embedded Computer Vision Engineer for Space Tech

TRL11, Inc.; Irvine (CA); On-site; USD 150,000 - 220,000; Full time

Benefits offered by this job

Base salary $150k-$220k

Bonus

401(k)

Health care plan

Unlimited PTO

Stock options

Job summary

TRL11, Inc. in Irvine, CA seeks Algorithms/Video Engineers to design, develop, and implement advanced computer vision and video processing pipelines for our Space Aware Video Software Suite.

You will optimize AI/ML models for embedded hardware, work across the full software lifecycle, and mentor junior engineers. The role emphasizes real-time performance on resource-constrained platforms, including ARM-based SoCs and GPUs, with collaboration across cross-functional teams in a venture-backed

Qualifications

• 3+ years of industry experience in ML and computer vision
• Strong C/C++ and Python programming; embedded software exp.
• Experience with hardware-software integration and optimization for embedded systems.

Responsibilities

• Develop and implement computer vision algorithms on embedded systems for identifying and tracking objects
• Design and optimize AI/ML models for embedded platforms considering memory and power constraints
• Participate in full software development lifecycle from requirements to deployment
• Evaluate and optimize real-time performance of high frame rate vision systems
• Stay updated with AI/ML and CV advancements and propose improvements
• Document algorithms and implementation details for team communication
• Mentor junior team members to foster growth

Skills

C/C++

Python

Embedded software

Computer vision

AI/ML

Deep learning

RTOS

GPU acceleration

FPGA

Parallel processing

Communication

Education

Bachelors or higher in CS/DS/EE/Physics

Job description

TRL11, Inc. in Irvine, CA seeks Algorithms/Video Engineers to design, develop, and implement advanced computer vision and video processing pipelines for our Space Aware Video Software Suite.

You will optimize AI/ML models for embedded hardware, work across the full software lifecycle, and mentor junior engineers. The role emphasizes real-time performance on resource-constrained platforms, including ARM-based SoCs and GPUs, with collaboration across cross-functional teams in a venture-backed