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Machine Vision Software Engineer Jobs in New York

Hayden AI

Senior Software Engineer

New York, NY · On-site

$200K - $260K/yr

Job Summary As a Senior Software Engineer on the Pilots team within the Perception organization ... Adapt, refine, and integrate Machine Learning (ML) and Computer Vision (CV) models, including ...

Jobiak

Software Engineer

Bronx, NY · On-site

Company Description Jobiak's mission is to fuse machine learning technology with practical ... Make design decisions to improve software development workflows * Create integration points between ...

J.P. Morgan

Lead Software Engineer

Jersey City, NJ

The Machine Learning Center of Excellence (MLCOE) team partners across the firm to create and share ... As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector - AIML Data Platforms and ...

Radical AI

Software Engineer

Manhattan, NY · On-site

As a Software Engineer, you will design and build core infrastructure that supports software ... machine learning, and experimental automation. Responsibilities : • Design and build core ...

ProNexus

Software Engineer

New York, NY · On-site

About the role As a Fullstack Software Engineer, you will own meaningful parts of the product from ... Experience building AI, LLM, agent, or machine-learning products * Experience with AWS, GCP, Docker ...

Hayden AI

Staff Software Engineer

New York, NY · On-site

$230K - $299K/yr

What the job involves As a Staff Software Engineer on the Perception team, you will be a key ... Deep expertise in one or more of: robotics, state estimation, computer vision, or applied machine ...

Meta

Software Engineer, Machine Learning

New York, NY

$183K/yr

Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences * Implement ...

United Airlines

Software Engineer

Manhattan, NY

Works in the area of Software Engineering, which encompasses the development, maintenance and ... Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) * Retirement ...

Capgemini

Software Engineer

New York, NY · On-site

Works in the area of Software Engineering, which encompasses the development, maintenance and ... Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) * Retirement ...

Etsy

Software Engineer II, Machine Learning

New York, NY · On-site

$153K - $199K/yr

We are looking for a Software Engineer to join the ML Training Data team. You will build and scale the infrastructure to help machine learning teams generate training datasets. Your work will support ...

Makai Labs

Senior Software Engineer

New York, NY

$134K - $176K/yr

People are essential for all of our human-machine teaming solutions, as they serve as the final ... The Senior Software Engineer will be responsible for backend app development. They will collaborate ...

Meta

Computer Vision Engineer

New York, NY

$154K/yr

Meta Reality Labs is looking for a computer vision engineer with background in machine learning, classical image analysis, 3D geometric modeling, feature extraction, and physics of imaging systems to ...

Makai Labs LLC

Senior Software Engineer

New York, NY · On-site +1

$120K - $150K/yr

People are essential for all of our human-machine teaming solutions, as they serve as the final ... The Senior Software Engineer will be responsible for backend app development. They will collaborate ...

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Showing results 21-40

All JobsMachine Vision Software Engineer JobsMachine Vision Software Engineer Jobs in New York

Machine Vision Software Engineer information

What engineer makes $500,000 a year?

A highly experienced Machine Vision Software Engineer working in specialized industries such as autonomous vehicles, aerospace, or advanced robotics can earn $500,000 or more annually. These roles often require advanced skills in computer vision, deep learning, and extensive experience, sometimes supplemented by leadership responsibilities or equity compensation.

What does a Machine Vision Software Engineer do?

A Machine Vision Software Engineer designs, develops, and maintains software systems that enable computers to interpret and process visual information from the real world. They work with cameras, sensors, and advanced algorithms to automate tasks such as inspection, identification, measurement, and guidance in industrial and robotics applications. Their responsibilities often include integrating hardware with software, optimizing image processing algorithms, and ensuring the accuracy and reliability of vision systems. These engineers play a crucial role in industries like manufacturing, automotive, healthcare, and logistics where automated visual inspection and analysis are essential.

What are some of the main challenges Machine Vision Software Engineers face when integrating vision systems into manufacturing environments?

Machine Vision Software Engineers often encounter challenges such as ensuring reliable image capture despite varying lighting conditions and accommodating different types of defects or product variations. Integrating vision systems with existing automation hardware and production lines can require close collaboration with mechanical, electrical, and process engineers. Additionally, optimizing algorithms for real-time performance while maintaining high accuracy is a frequent necessity. Continuous testing and iterative development are key to addressing these challenges and delivering robust solutions in dynamic manufacturing settings.

What are the key skills and qualifications needed to thrive as a Machine Vision Software Engineer, and why are they important?

To thrive as a Machine Vision Software Engineer, you need a solid background in computer science, image processing, and mathematics, usually backed by a relevant degree. Familiarity with programming languages such as Python or C++, machine vision libraries like OpenCV, and experience with deep learning frameworks are typically required. Strong problem-solving, attention to detail, and effective communication skills help engineers design robust solutions and collaborate with multidisciplinary teams. These competencies are crucial for developing accurate, efficient vision systems that meet real-world automation and quality control demands.

What is the difference between Machine Vision Software Engineer vs Computer Vision Engineer?

AspectMachine Vision Software EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in CS, EE, or related; experience with image processingBachelor's or Master's in CS, EE, or related; strong programming skills in Python, C++
Work EnvironmentManufacturing, robotics, quality inspectionAutonomous vehicles, AI research, multimedia applications
Industry UsageManufacturing, industrial automation, roboticsTech, automotive, research institutions
Search & Comparison IntentFocus on industrial and automation applicationsFocus on AI, perception, and multimedia systems

While both roles involve image analysis and programming skills, Machine Vision Software Engineers primarily work on industrial automation and manufacturing systems, whereas Computer Vision Engineers focus on AI-driven perception in autonomous vehicles, robotics, and multimedia applications. The roles overlap in skills but differ in application environments and industry focus.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and optimize AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex AI systems. AI is more likely to augment rather than fully replace MLE roles, which require expertise in data handling, model tuning, and deployment. Staying current with evolving AI frameworks and programming skills is important for MLEs to remain valuable in the field.

What does a machine vision engineer do?

A machine vision engineer designs and develops systems that enable computers to interpret and analyze visual data using cameras, sensors, and image processing algorithms. They often work with programming languages like C++ or Python, and tools such as OpenCV or MATLAB, to create applications for quality inspection, robotics, or automation. The role typically requires knowledge of computer vision, image processing, and sometimes machine learning or deep learning techniques.

What tech jobs pay $400,000 a year?

High-paying tech roles such as senior machine vision software engineers, AI researchers, and data science directors can reach or exceed $400,000 annually, especially with extensive experience, advanced skills in machine learning and computer vision, and leadership responsibilities. These positions often require advanced degrees, specialized certifications, and work in industries like autonomous vehicles, robotics, or large-scale AI development.
What are popular job titles related to Machine Vision Software Engineer jobs in New York? For Machine Vision Software Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Machine Vision Software Engineer jobs in New York look for? The top searched job categories for Machine Vision Software Engineer jobs in New York are:
What cities in New York are hiring for Machine Vision Software Engineer jobs? Cities in New York with the most Machine Vision Software Engineer job openings:
Machine Vision Software Engineer jobs near you
Infographic showing various Machine Vision Software Engineer job openings in New York as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
Senior Software Engineer

Senior Software Engineer

Hayden AI

New York, NY • On-site

$200K - $260K/yr

Full-time

Posted 28 days ago

Job description

About Us
At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
Job Summary
As a Senior Software Engineer on the Pilots team within the Perception organization, you will be responsible for developing prototypes for forthcoming pilots, aligning with Hayden's mission and long-term roadmap for business expansion.
This team investigates novel use cases, vehicles, and deployment environments, expeditiously translating preliminary concepts into functional prototypes. You will construct comprehensive end-to-end perception and robotics systems designed to operate on real-world hardware and capable of scaling into Hayden's core product platform.
This is a C++ software engineering generalist position emphasizing robotics and systems expertise. You will function with a substantial degree of ownership, navigating complexity to meticulously design, implement, and fortify solutions that judiciously balance rapid experimentation with sustained maintainability.
Key Responsibilities:
  • Deliver robust, thoroughly tested, and maintainable C++ code tailored for edge and robotics platforms.
  • Design, implement, and take ownership of prototype perception systems with the potential to transition into production-grade solutions.
  • Construct and iteratively refine real-time perception pipelines, encompassing detection, tracking, and sensor fusion methodologies.
  • Adapt, refine, and integrate Machine Learning (ML) and Computer Vision (CV) models, including leveraging open-source solutions, for novel, Hayden-specific applications.
  • Drive technical decision-making in ambiguous problem spaces, effectively balancing the speed required for prototyping with the requirements for production readiness.
  • Collaborate closely with the Product team and cross-functional Engineering departments.
  • Contribute to shared infrastructure, tooling, and architectural patterns as pilot initiatives mature into foundational products.
Required Qualifications:
  • Master's degree in Computer Science, Electrical Engineering, Robotics, or a closely related discipline. A PhD is considered advantageous.
  • 5-8 years of relevant experience in building and deploying perception systems; experience in automotive or robotics domains is a plus.
  • Substantial background in a minimum of one of the following domains: robotics, state estimation, computer vision, or applied machine learning.
  • Senior-level industrial experience in the delivery of intricate, production-grade software systems.
  • Demonstrated proficiency in modern C++, coupled with experience in real-time systems.
  • Experience in the construction and ownership of end-to-end systems, rather than merely isolated components.
  • Capability to operate effectively in ambiguous and rapidly evolving environments.
  • Proven capacity to collaborate constructively within a developing engineering organization.

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