4 days ago

Principal Engineer, Autonomy

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Own core technical areas of the autonomy stack—Perception, Prediction, and/or Planning—serving as the senior-most individual contributor with end-to-end influence. Drive system-level architecture and interfaces, set direction for deep learning in real-world pipelines, and ensure execution by shipping autonomy components that run on real vehicles. Collaborate with other senior engineers and partner with neighboring teams to keep the system coherent and production-ready.

Location: New York, Toronto, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Mid level

Key Responsibilities

•Provide deepest hands-on technical ownership of Perception, Prediction, and/or Planning, with influence across the autonomy stack.
•Design and evolve perception, including detection, classification, tracking, and multi-modal sensor fusion; set direction for where deep learning applies.
•Own prediction stack design for intent inference, behavior forecasting, occlusions, and edge cases; align prediction across perception and planning.
•Own planning and decision-making stack for autonomous ground service equipment operations; set direction for learned components in the planner.
•Set technical direction across autonomy architecture and the interfaces between modules, partnering with other senior engineers and neighboring teams to implement end-to-end coherence.

Pay and Benefits

Salary: USD 350,000 - 500,000 annually

Equity and Bonus:Equity

Key Requirements

•15+ years building production autonomy systems with deep technical depth across modules such as localization, perception, prediction, planning, and controls.
•Shipped autonomy components that have run in production on real vehicles at non-trivial scale.
•Experience as the most senior individual contributor in an autonomy organization—setting direction and mentoring senior staff without managing a team.
•Deep technical depth in perception, prediction, or planning (ideally more than one).
•Strong software engineering fundamentals in C++ and Python, and fluency with deep learning for autonomy including model training, evaluation, deployment, and lifecycle management.

Experience:15+ yearsAutonomy systemsAutonomous driving

Skills:Systems-level thinkingBias for executionMentoring senior engineersTurning ambiguity into execution plansCross-stack collaboration

Tech Stack:C++PythonDeep learningROSROS 2SimulationCI/CDIPC

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

4 days ago

Principal Engineer, Autonomy

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: New York, Toronto, Seattle

Workplace: Hybrid

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Mid level

Key Responsibilities

•Provide deepest hands-on technical ownership of Perception, Prediction, and/or Planning, with influence across the autonomy stack.
•Design and evolve perception, including detection, classification, tracking, and multi-modal sensor fusion; set direction for where deep learning applies.
•Own prediction stack design for intent inference, behavior forecasting, occlusions, and edge cases; align prediction across perception and planning.
•Own planning and decision-making stack for autonomous ground service equipment operations; set direction for learned components in the planner.
•Set technical direction across autonomy architecture and the interfaces between modules, partnering with other senior engineers and neighboring teams to implement end-to-end coherence.

Pay and Benefits

Salary: USD 350,000 - 500,000 annually

Equity and Bonus:Equity

Key Requirements

•15+ years building production autonomy systems with deep technical depth across modules such as localization, perception, prediction, planning, and controls.
•Shipped autonomy components that have run in production on real vehicles at non-trivial scale.
•Experience as the most senior individual contributor in an autonomy organization—setting direction and mentoring senior staff without managing a team.
•Deep technical depth in perception, prediction, or planning (ideally more than one).
•Strong software engineering fundamentals in C++ and Python, and fluency with deep learning for autonomy including model training, evaluation, deployment, and lifecycle management.

Experience:15+ yearsAutonomy systemsAutonomous driving

Skills:Systems-level thinkingBias for executionMentoring senior engineersTurning ambiguity into execution plansCross-stack collaboration

Tech Stack:C++PythonDeep learningROSROS 2SimulationCI/CDIPC

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