Job Description Summary

As a Computer Vision Senior Engineer/Scientist, you will join a multi-disciplinary research team developing and maturing advanced computer vision and autonomous solutions for manufacturing and field services across GE Vernova. In this role, you may define vision system architectures, develop advanced algorithms, integrate complex imaging sensors, and implement robust machine learning models to deliver automated inspection, field services, and mission-critical robotics capabilities. This senior role combines hands-on algorithm development with technical leadership, research, and collaboration with internal businesses and government partners.

As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business’s mission to power the energy transition. We forge the partnerships and invent the technologies required to electrify and decarbonize for a zero-carbon future.

Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova’s businesses, the U.S. government, and more than 420 technology partners to execute on 150 energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy.

Job Description

Essential Responsibilities

• Research & Development: Develop high-impact technology concepts focused on computer vision algorithms, perception, and system-level integration.
• Technical Leadership: Lead and contribute to system architecture, design, and software development lifecycles.
• Strategic Engagement: Collaborate with internal and external thought leaders across the computer vision stack to identify and drive new applications and research initiatives.

Position Requirements

• Education: PhD in Mechanical Engineering, Electrical Engineering, Computer Science, or a related discipline with 5 years' applied experience, OR Master's Degree plus 8 years' experience.
• Technical Expertise: Demonstrated experience in at least three of the following:
  • Systems architecture, design, and integration.
  • Development of camera and sensor drivers.
  • Software engineering and architecture for complex systems.
  • Spatial Awareness: Robotic perception, SLAM, visual odometry, or 3D point cloud processing (e.g., PCL, Open3D).
  • System Integration: Architecture design, sensor fusion, and driver development for complex camera/lidar arrays
  • Simulation: Use of synthetic environments (e.g., NVIDIA Isaac Sim, Gazebo) for model training and validation.
  • Hardware-in-the-loop: Integrating software into operational robotic systems or industrial hardware.
  • Perception & Learning: Advanced computer vision algorithms, deep learning (PyTorch/TensorFlow), and model optimization for edge deployment.

• Development Proficiency: Strong programming skills in C/C and Python.
• Execution: Proven track record of delivering technical projects and integrating software into functional, real-world systems.
• Compliance:
  • Legal authorization to work in the US is required. We will not provide sponsorship for work authorization visas at the Master's level, now or in the future, for this position vacancy
  • Must be 18 years or older.
  • Must be willing to undergo a drug test and background investigation.
  • Must be willing to work on-site in Niskayuna, NY.
  • You must submit your application via the Careers page at www.careers.gevernova.com to be considered.

Desired Characteristics

• Strategic Thinking: Ability to translate high-level customer requirements into actionable technical development strategies.
• Communication: Excellent interpersonal and oral/written English communication skills, with an ability to present to diverse technical and executive audiences.
• Innovation: Self-motivated and capable of working independently to pursue new, emerging technical domains within the computer vision field.

Note: We are interested in hiring across a range of experience levels. If you are interested in this role but feel your current experience level may be slightly under- or over-qualified, we still encourage you to apply. Our team prioritizes technical aptitude and a passion for solving complex, real-world problems, and we are committed to finding the right fit for your skills within our organization. 

 

 

For candidates applying to a U.S. based position, the pay range for this position is between $113,200.00 and $188,800.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.

 

 

Bonus eligibility: discretionary annual bonus.

 

 

This posting is expected to remain open for at least seven days after it was posted on July 24, 2026.

 

 

Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.

 

 

GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.