Senior Motion Planning Software Engineer
Kforce Inc.
Job Info
RESPONSIBILITIES:
Kforce is working with a client in search of a fulltime Senior Motion Planning Software Engineer. This position requires employees to report to the Lawrenceville, PA office 5 days a week.Summary:As a Senior Motion Planning Software Engineer in our Robot Software Department, you will focus on the design and implementation of motion planning software for our autonomous mobile robots. As a core team member, you will work in an Agile software development environment to improve the existing motion planning software. These improvements will help make our autonomous robots more effective and reliable in uncertain and dynamic environments.Responsibilities:- Senior Motion Planning Software Engineer will design, implement, and maintain the motion planning subsystem of autonomous robots
- Participate in requirements-driven, object-oriented software design
- Implement and deploy software in both simulation and physical targets
- Participate in an Agile development environment
REQUIREMENTS:
- Bachelor's degree in Robotics, Mechanical Engineering, Electrical/Computer Engineering, or Computer Science
- 2-3 years of work experience creating classical motion planning algorithms for autonomous mobile robots
- Modern C++ programming fluency and design patterns
- Experience working with physical robots and the flow of information through its primary sub-systems
- Experience with source code management systems (e.g. git) and performing detailed code reviews
- Experience with Linux systems
- Strong foundation in practical mathematical skills (e.g. linear algebra)
- Strong foundation in motion planning concepts and basic planning algorithms such as A*, RRT, RRT*, DWA, Potential Field, etc.
- Ability to evaluate existing upstream outputs and understand the impact to trajectory tracking and control needs when implementing a planning solution
- 5+ years of work experience in end-to-end system development and deployment of production level motion planning algorithms for autonomous mobile robots
- Experience with different types of planners such as Lattice planners, modeling behaviors for heuristics-based planners
- Fusion of multi-stage planners (e.g. local, global, mission)
- Working with GPU based embedded systems (e.g. CUDA)
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking "Apply Today" you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
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