R&D ML Software Engineer

RESPONSIBILITIES

Kforce has a client that is seeking an R D ML Software Engineer - Robotics in Meridan, ID.

Duties Include:

• Contribute to Python and C++ codebases running on Linux systems
• Assist in planning, optimizing, training, and integrating computer vision and perception models
• Create software designs, participate in design and code reviews, and follow established SDLC processes
• Scope, plan, and execute work within an Agile development framework
• Contribute to and help evolve software development best practices and standard operating procedures
• Develop test plans and perform hands-on testing and validation on live systems and hardware
• Follow defined safety procedures when working with physical equipment
• Participate in system validation efforts and controlled field evaluations
• Collaborate with cross-functional teams (e.

g., manufacturing, deployment, operations, product, and marketing) throughout the product lifecycle

REQUIREMENTS

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, or a related field
• 3+ years of relevant professional experience
• Experience designing, building, and maintaining production software systems
• Experience working in Agile environments with a strong appreciation for process and quality
• Strong experience developing for Linux-based systems
• Proficiency in Python and C++
• Experience with additional software technologies (e.g., web development, databases, SQL)
• Experience implementing machine learning techniques in production or near-production environments
• Familiarity with microservice-based architectures
• Experience with CI/CD pipelines and automated testing strategies
• Experience with containerization and deployment workflows
• Exposure to cloud platforms (e.g., AWS, Azure, or similar)
• Experience with Git and structured branching strategies
• Exposure to ROS (Robot Operating System) is a plus This person would help with our core robot arm motion pipeline; This is fully C++, uses ROS2 and the MoveIt! Stack; We need experience in bin picking or bin packing applications:
• Kinematics
• ROS2
• MoveIt!
• Motion Planning
• Bin Picking/Packing

Robot Calibration Travel Requirements:

• Up to 10% overnight travel

Work Location:

• This is an onsite role, five days per week, based in Dallas, Texas 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.