Autonomous Aerial Vehicle Software Engineer, - Job Order 2869 - Philadelphia, Pennsylvania United States - 21039



JOB DESCRIPTION

Job #: 21039
Title: Autonomous Aerial Vehicle Software Engineer, - Job Order 2869
Job Location: Philadelphia, Pennsylvania - United States
Employment Type:
Salary: $110,000.00 - $130,000.00 - US Dollars - Yearly
Employer Will Recruit From: Nationwide
Relocation Paid?: Negotiable

WHY IS THIS A GREAT OPPORTUNITY?


This is a software engineering position in robotics so ignore the title and concentrate on the required skills. It's a fun business and they have a promissing niche. They are getting series A funding and are building up their engineering department. You will be on the ground floor (currently 16 employees).

JOB DESCRIPTION

Robotics Software Engineer - Job Order 2869

Location: Philadelphia, PA
Compensation: DOE
Requires US citizenship or Permanent Residency

Job Description
My client is involved with robotics in the realm of aerial autonomy. As a Robotics Software Engineer you will work with a dynamic, multi-disciplinary team to implement state of the art algorithms derived from world-class research. Your responsibilities will include:

Implementing and testing core autonomy algorithms
Optimizing existing algorithms for deployment on resource-constrained devices
Defining core architectural elements of our software stack
Defining and supervising test procedures for autonomy algorithms
In addition, there will be opportunities to support field testing, work with customers and investors, as well as mentor members of the team. 

 

QUALIFICATIONS

Essential Qualifications
A B.S. or M.S. in Computer Science, Robotics, Electrical Engineering, a related field, or at least 5 years experience in a relevant industry.  Candidates with substantial qualifications may be considered for senior positions.
Phd with no industrial experience to at least 5 years of experience using C++ for the senior position.
You have experience in one or more of the following areas of robotics: planning, control, perception, learning, state estimation and multi-agent coordination
An excellent understanding of how to write and test software that is correct, modular, efficient, safety-critical, and easy to understand
US citizenship or permanent residency
Great to Have
Experience developing with a Linux toolchain
Familiarity with relevant libraries and frameworks, such as Eigen, ROS, Qt, Boost, ASIO, STL, OpenGL, CMake
Experience with standard development practices, including version control, testing, code checking, and code review
Familiarity with relevant sensors, such as cameras, IMUs, LiDARs, and GPS
.

Education:
University - Master's Degree

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