[Remote] Senior Software Engineer, Motion Planning at AeroVect

Remote

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, Robotics, AviationIndustries

Requirements

Proficient in modern C++ (11/14/17) and object-oriented programming
Skilled in Python for rapid prototyping and testing
Strong in debugging, profiling, and optimizing code
Deep understanding of behavior planning algorithms such as state machines, behavior trees, and probabilistic planning
Familiarity with path planning algorithms like A*, RRT, or optimization-based methods
Master’s degree in Computer Science, Robotics, or a related field
Minimum of 3 years of industry experience in autonomous driving, robotics, or a related field

Responsibilities

Develop and implement advanced behavior planning algorithms for autonomous vehicles
Collaborate with cross-functional teams to ensure robust integration and functionality of planning systems
Design, write, and maintain efficient and scalable code in C++ and Python
Contribute to the architecture and continuous improvement of behavior planning software
Conduct extensive testing in simulated environments and real-world scenarios to validate and refine behavior planning algorithms
Analyze system performance and implement enhancements based on data and feedback
Maintain comprehensive documentation of code, algorithms, and system designs
Work closely with other engineering teams to ensure seamless coordination and development

Skills

Key technologies and capabilities for this role

C++Pythonbehavior planningstate machinesbehavior treespath planningA*RRTobject-oriented programmingdebuggingprofilingoptimizationprobabilistic planning

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the position is fully remote.

What programming languages are required for this role?

The role requires proficiency in modern C++ (11/14/17) and Python for development, prototyping, testing, debugging, profiling, and optimization.

What key experience and skills are needed for this Senior Software Engineer role?

Candidates need a deep understanding of behavior planning algorithms like state machines, behavior trees, and probabilistic planning, familiarity with path planning algorithms such as A*, RRT, or optimization-based methods, a Master’s degree in Computer Science, Robotics, or related field, and minimum 3 years of industry experience in autonomous driving or robotics.

What is the salary or compensation for this position?

This information is not specified in the job description.

What makes a strong candidate for this role?

Strong candidates have a Master’s or PhD in Robotics, AI, or related fields, expertise in path planning like A*, D*, RRT, machine learning for behavior prediction, ROS/ROS2 experience, and skills in high-frequency re-planning, low-latency execution, and probabilistic optimization.

AeroVect

Digital solutions for aviation industry businesses

About AeroVect

AeroVect provides digital solutions tailored for the aviation industry. Their platform, built using JavaScript, suggests a focus on web and app development, likely offering services that cater to airlines, airports, and other aviation-related businesses. AeroVect's products may include software for managing aviation data, enhancing operational efficiency, or improving customer experiences. Unlike many competitors, AeroVect may emphasize customizable solutions and consulting services, allowing clients to adapt the technology to their specific needs. The company's goal is to support the aviation sector by delivering effective digital tools that streamline operations and enhance service delivery.

San Francisco, CaliforniaHeadquarters

2020Year Founded

$9.1MTotal Funding

SEEDCompany Stage

Consulting, Enterprise Software, AerospaceIndustries

11-50Employees

Benefits

Flexible Work Hours

Risks

Competition from established aviation tech firms may impact AeroVect's market share.

Regulatory changes in autonomous aviation could affect AeroVect's operations.

Cybersecurity threats to JavaScript platforms pose risks to AeroVect's infrastructure.

Differentiation

AeroVect specializes in autonomous driving platforms for ground support equipment in aviation.

The company integrates AI and machine learning in airside operations for efficiency.

AeroVect targets large passenger and cargo hubs for its autonomous solutions.

Upsides

Growing demand for autonomous GSE boosts AeroVect's market potential.

Airports' digital transformation investments create opportunities for AeroVect's tech solutions.

Projected 15% CAGR in aviation autonomous vehicles market benefits AeroVect.

Land your dream remote job 3x faster with AI

Try Jobo Free