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Lead Computer Vision Engineer Jobs in Massachusetts

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Lead Computer Vision Engineer information

What does a Lead Computer Vision Engineer do?

A Lead Computer Vision Engineer is responsible for overseeing the development and implementation of computer vision algorithms and systems. They guide a team of engineers, set technical direction, and ensure the successful deployment of image and video analysis solutions. Their work often involves tasks such as object detection, pattern recognition, and machine learning, as well as collaborating with other departments to integrate vision technologies into products. Additionally, they stay updated with the latest advancements in the field to maintain competitive and innovative solutions.

What are the key skills and qualifications needed to thrive as a Lead Computer Vision Engineer?

To thrive as a Lead Computer Vision Engineer, you need deep expertise in computer vision algorithms, machine learning, and programming languages such as Python or C++, usually backed by an advanced degree in computer science or a related field. Experience with tools like TensorFlow, PyTorch, OpenCV, and cloud-based deployment platforms, along with relevant certifications, is typically required. Strong leadership, project management, and communication skills help you guide teams and articulate technical solutions to stakeholders. These combined skills ensure the successful development and implementation of innovative vision systems that meet organizational goals.

How does a Lead Computer Vision Engineer typically collaborate with cross-functional teams during a project?

As a Lead Computer Vision Engineer, you will regularly work alongside product managers, data scientists, software engineers, and UX designers to ensure that computer vision solutions align with business objectives and user needs. This collaboration often involves translating technical requirements into practical deliverables, providing expertise during project planning, and integrating computer vision algorithms into production systems. Effective communication is crucial, as you may also be responsible for mentoring junior engineers and presenting progress to stakeholders. The role requires balancing hands-on development with leadership and coordination across disciplines.

What is the difference between Lead Computer Vision Engineer vs Computer Vision Engineer?

AspectLead Computer Vision EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's/PhD in CS, AI, or related fields; experience in leadership rolesBachelor's/Master's in CS, AI, or related fields; focus on technical skills
Work EnvironmentLeading projects, mentoring teams, strategic planningDeveloping algorithms, implementing models, testing
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareResearch labs, startups, tech firms, automotive

The main difference is that a Lead Computer Vision Engineer oversees projects and teams, focusing on strategy and leadership, while a Computer Vision Engineer primarily develops and implements algorithms. Both roles require strong technical skills, but the lead position involves more management responsibilities.

What cities in Massachusetts are hiring for Lead Computer Vision Engineer jobs?

Cities in Massachusetts with the most Lead Computer Vision Engineer job openings:

Machine Learning Engineer - Computer Vision, Robotics

Cambridge, MA • On-site

Tycho.AI
See more jobs at Tycho.AIexternal

Other

Re-posted 15 days ago

Job description

About Tycho.AI

Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and autonomy solutions for unmanned systems operating in GPS-denied and contested environments. We are a fast-growing, dual-use technology company at the forefront of national security and commercial innovation, with a mission to push the boundaries of what autonomous systems can achieve.

Joining Tycho.AI means being part of a team shaping the next decade of autonomy from defense applications to commercial opportunities in areas like logistics, disaster response, and beyond. If you want to work at the cutting edge of AI/ML and robotics with a company that’s poised for major impact and growth, we want to hear from you.

Responsibilities

  • Design and optimize ML models for computer vision and robotics under tight compute and memory budgets.

  • Build robust training and fine-tuning pipelines for large-scale datasets.

  • Compress, accelerate, and deploy models (quantization, distillation) for embedded accelerators (NPU/TPU/GPU delegates).

  • Profile and tune on-device inference pipelines for latency, throughput, and accuracy.

  • Write clean, efficient, and maintainable code across Python and/or C++.

  • Stay current on state-of-the-art ML techniques and efficient edge deployment research in autonomy and perception

Requirements

  • Bachelor’s or advanced degree in Computer Science, Engineering, or related field.

  • Hands‑on experience applying ML to computer vision and/or robotics.

  • Proficiency with PyTorch or TensorFlow.

  • Strong coding skills in Python or C++ (ideally both).

  • Experience deploying ML models and building training pipelines.

  • Familiarity with Git and collaborative software development practices.

Nice to Have:

  • CUDA kernel development and model optimization (quantization, pruning, distillation).

  • Experience with ONNX, TensorRT, or OpenVINO for deployment.

  • Robotics middleware (ROS2).

  • SLAM, 3D perception, or sensor fusion (LiDAR, IMU).

  • Real‑time or low‑latency inference pipelines.

Why Tycho.AI

  • Be part of a high calibre rapidly scaling startup defining the future of autonomous intelligence.

  • Make a difference, help create the software development culture and ecosystem you want to develop in.

  • Collaborative, high‑trust culture that values innovation, execution, and continuous learning.

  • Competitive salary, meaningful equity, and generous benefits package.

Equal Employment Opportunity (EEO) Statement: Tycho AI is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or protected veteran status.

E‑Verify and Right to Work: Tycho AI participates in E‑Verify to confirm work authorization in the United States. Applicants must be authorized to work in the U.S. and may be subject to a government security clearance process.

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