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Software Engineer - Robotics

Job in Royal Oak, Oakland County, Michigan, 48073, USA
Listing for: Dassault Systèmes
Full Time position
Listed on 2026-10-21
Job specializations:
  • Software Development
    Robotics, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 135000 - 165000 USD Yearly USD 135000.00 165000.00 YEAR
Job Description & How to Apply Below

DASSAULT SYSTÈMES is seeking a Software Development Engineer with experience in robotics systems and multiple programming languages to join our DELMIA R&D organization. This individual will contribute to the evaluation and deployment of emerging robotics, simulation, and AI/machine learning technologies for customer production environments. The ideal candidate combines hands‑on robotics expertise, strong software engineering fundamentals, and the ability to assess and operationalize new technologies.

  • Develop and integrate software for robotics systems, simulation environments, and related production technologies using multiple programming languages
  • Contribute to architecture reviews and evaluate system design, integration approaches, and technical feasibility
  • Experiment with and evaluate new robotics, simulation, and AI/machine learning components through prototypes and proof‑of‑concept initiatives
  • Prepare clear technical assessments and recommendations for engineering leaders and executive stakeholders
  • Define implementation and deployment plans for technologies selected for customer production use
  • Execute and support the production deployment, integration, and validation of approved technologies
  • Collaborate with teams across the U.S., Asia, and Europe in a fast‑paced Agile environment to deliver concrete results
Qualifications
  • Education: Master’s degree in computer engineering or a similar technical discipline.
  • Experience: 4–6 years of software development experience.
  • Robotics experience: 4–6 years of experience with industrial robotics and/or autonomous systems, including programming and motion control; this experience is required.
  • Strong mathematical background, including experience with numerical solvers and stochastic analysis used in machine learning.
  • Demonstrated ability to work across multiple programming languages and technologies, and with varied data and file formats.
  • Experience with web technologies and communication and integration methods such as TCP/IP, sockets, Docker containers, and gRPC.
  • Background in control programming and interfacing with peripheral technologies, including sensors and vision systems.
  • Experience evaluating and deploying robotics, simulation, or AI and machine learning technologies in production environments.
  • Ability to collaborate effectively with globally distributed teams in an Agile software development environment.
  • Strong communication and presentation skills, including the ability to explain complex technical concepts clearly to technical and executive audiences.
Inclusion statement

In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law.

3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.

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