AeroVect

3 months ago

Software Engineer, ML Ops

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Software Engineer for ML Ops focusing on computer vision and autonomous systems safety. You’ll build 2D/3D models, create redundant perception systems, and develop metrics/diagnostics for modules in the stack, leveraging robotics perception expertise to ensure robust, reliable autonomous functionality.

Location: Toronto, Atlanta

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Develop 2D/3D deep learning models for perception tasks.
•Develop a secondary perception system to provide redundancy and improve reliability.
•Generate metrics and diagnostics for individual modules in the ML/vision stack.
•Collaborate with robotics and software teams to integrate perception components into autonomous workflows.
•Stay current with state-of-the-art perception techniques and contribute to system design and testing.

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Robotics, Deep Learning, or a related field.

Experience:PerceptionRoboticsMachine learningComputer vision

Education:Bachelor's

Skills:PythonC/C++ROS22D/3D deep learningPerception stackSensingPreprocessingDetectionTracking

Languages:English

Tech Stack:PythonC/C++ROS22D/3D deep learningPerception stack

Company Brief

AeroVect

AeroVect develops autonomous driving systems (AeroVect Driver) for ground support equipment to automate baggage, cargo and airfield logistics using lidar, radar, cameras and embodied AI, deploying at major airports and working with airlines and ground handlers.

Industry: Robotics

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: South San Francisco, United States

Founded: 2020

Glassdoor: 1.0

Website LinkedIn Glassdoor

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AeroVect

3 months ago

Software Engineer, ML Ops

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Toronto, Atlanta

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Develop 2D/3D deep learning models for perception tasks.
•Develop a secondary perception system to provide redundancy and improve reliability.
•Generate metrics and diagnostics for individual modules in the ML/vision stack.
•Collaborate with robotics and software teams to integrate perception components into autonomous workflows.
•Stay current with state-of-the-art perception techniques and contribute to system design and testing.

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Robotics, Deep Learning, or a related field.

Experience:PerceptionRoboticsMachine learningComputer vision

Education:Bachelor's

Skills:PythonC/C++ROS22D/3D deep learningPerception stackSensingPreprocessingDetectionTracking

Languages:English

Tech Stack:PythonC/C++ROS22D/3D deep learningPerception stack

Company Brief

AeroVect

Industry: Robotics

Company Size: Small (11 to 50 employees)

Growth: Growth Stage Startup

Funding: Series A

Headquarters: South San Francisco, United States

Founded: 2020

Glassdoor: 1.0

Website LinkedIn Glassdoor