Sr. Vision Software Engineer

Targan IncRaleigh, NC
Hybrid

About The Position

This role will be focused on commercial sustainment and improvement for both current and future field systems. The Senior Vision Software Engineer will actively communicate with stakeholders in the field and the Vision Discipline Lead to monitor / improve production code deployments and collaborate with the broader team to develop new tools that leverage our existing codebase and technology to create innovative products. They will serve as a key resource for new product introduction transition from R&D to commercial.

Requirements

  • Experience in a commercial or industrial setting, particularly biotechnology.
  • Experience working with biological data.
  • Experience with computer vision.
  • Knowledge of regulatory requirements and data privacy considerations in handling biological and commercial data.
  • Ability to work in a fast-paced environment and adapt to changing priorities.
  • Solid understanding of machine learning tools and how to implement them in a software product.
  • Excellent problem-solving skills and ability to think critically and creatively.
  • Excellent communication skills, both written and verbal.
  • A high degree of integrity, ethics, and judgment.
  • Bachelor’s degree in computer science, Data Science or a related field.
  • 8 - 10 years of experience working in software development, or related field.
  • Proficiency in Python and C# for software development.
  • Proficiency in SQL and experience with database management systems (e.g., MongoDB, PostgreSQL, MSSQL Server).
  • Experience working with cloud platforms such as Azure for container deployment/ orchestration and software versioning.

Responsibilities

  • Integrate commercial data with existing tooling to develop innovative solutions to company assigned project goals.
  • Collaborate with cross-functional teams to build proprietary tools.
  • Drive the development of new products by leveraging commercial data to meet market needs and company objectives.
  • Ensure the quality and accuracy of data and analyses through rigorous testing and validation processes.
  • Stay current with the latest advancements in machine learning, vision software and related fields to continuously improve methodologies and approaches.
  • Communicate complex data insights and recommendations to non-technical stakeholders effectively.
  • Occasional travel to customer sites for troubleshooting (machines are located in hatchery environments)
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