Senior Embedded Vision Engineer - High-Performance, Remote

AItoolnavio; United States; Hybrid; USD 155,000 - 180,000; Full time

Benefits offered by this job

Remote work with ET hours

Unlimited PTO

401(k) employer match

Bonus opportunity

Job summary

AItoolnavio is seeking a Senior Embedded Computer Vision Engineer based in the United States to design and optimize high-performance vision systems for next-generation products. You will own complex C++ codebases and improve latency, memory, bandwidth, and power efficiency in embedded environments.

The role involves collaborating with cross-functional teams, shaping computing platforms, and contributing to advanced tooling and development practices.

Qualifications

• 5+ years in computer vision and image processing.
• Strong C++ experience for high-performance applications.
• Experience with embedded real-time systems.
• Experience with integrating hardware accelerators in embedded environments.
• Familiarity with Linux and RTOS and performance profiling.

Responsibilities

• Design, develop, and optimize computer vision and image processing systems with performance requirements.
• Own and improve key performance metrics like latency, memory usage, bandwidth, and power efficiency.
• Analyze, optimize, and maintain modern C++ codebases to reduce bottlenecks.
• Develop and optimize low-latency, high-bandwidth data pipelines for real-time and batch processing.
• Collaborate with cross-functional teams to shape computing platforms and embedded hardware integration.
• Drive profiling, testing, verification, and performance-monitoring tooling.

Skills

C++

Computer Vision

Image Processing

Embedded Systems

Performance Profiling

Education

Master's/PhD in CS/CV/Robotics

Tools

Real-time OS

Linux

Hardware Accelerators

Job description

AItoolnavio is seeking a Senior Embedded Computer Vision Engineer based in the United States to design and optimize high-performance vision systems for next-generation products. You will own complex C++ codebases and improve latency, memory, bandwidth, and power efficiency in embedded environments.

The role involves collaborating with cross-functional teams, shaping computing platforms, and contributing to advanced tooling and development practices.