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Computer Vision Engineer Jobs in Pittsburgh, PA (NOW HIRING)

Carnegie Robotics

Software Engineer

Pittsburgh, PA · On-site

What You'll Be Doing As a Software Engineer, you will be collaborating with an interdisciplinary ... Applying a solid background in 3D geometry, computer vision, and robot kinematicsyou should be ...

Carnegie Robotics

Software Engineer

Pittsburgh, PA · On-site

What You'll Be Doing As a Software Engineer, you will be collaborating with an interdisciplinary ... Applying a solid background in 3D geometry, computer vision, and robot kinematics-you should be ...

Carnegie Robotics

Software Engineer

Pittsburgh, PA · On-site

What You'll Be Doing As a Software Engineer, you will be collaborating with an interdisciplinary ... Applying a solid background in 3D geometry, computer vision, and robot kinematics-you should be ...

Cmu

Autonomy Engineer

Pittsburgh, PA · Hybrid

You have worked with tools, techniques, algorithms, software, and programming languages for deep learning, reinforcement learning, statistics, sensors and sensor fusion, planning, computer vision, or ...

Carnegie Robotics

Systems Engineer

Pittsburgh, PA · On-site

Who We Are Carnegie Robotics engineers high performance autonomy solutions as well as the sensors ... computer vision, software algorithms, ML * Experience in a technical project management role

Carnegie Robotics

Systems Engineer

Pittsburgh, PA · On-site

Who We Are Carnegie Robotics engineers high performance autonomy solutions as well as the sensors ... computer vision, software algorithms, ML * Experience in a technical project management role

Carnegie Robotics

Systems Engineer

Pittsburgh, PA · On-site

Who We Are Carnegie Robotics engineers high performance autonomy solutions as well as the sensors ... computer vision, software algorithms, ML * Experience in a technical project management role

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All JobsComputer Vision Engineer JobsComputer Vision Engineer Jobs in Pittsburgh, PA

Computer Vision Engineer information

See Pittsburgh, PA salary details

$45.3K

$113.5K

$128.5K

How much do computer vision engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for computer vision engineer in Pittsburgh, PA is $113,547.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $122,900.00 per year, depending on experience, location, and employer.

What is a computer vision engineer?

Computer Vision Engineers are professionals who develop algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They work on tasks like object detection, facial recognition, image segmentation, and more, often using machine learning and deep learning techniques. These engineers apply their expertise in fields like robotics, autonomous vehicles, healthcare, and augmented reality, turning raw visual data into actionable insights.

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

AspectComputer Vision EngineerMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, Electrical Engineering, or related; knowledge of image processing and computer vision librariesBachelor's or Master's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentDevelops algorithms for image/video analysis, object detection, and recognition in tech, automotive, or healthcare industriesBuilds models for various data types, including text, images, and structured data across multiple sectors
Employer & Industry UsageTech companies, autonomous vehicles, robotics, healthcareTech firms, finance, e-commerce, healthcare, and research institutions

While both roles involve machine learning techniques, Computer Vision Engineers specialize in developing algorithms for visual data, whereas Machine Learning Engineers work on broader data modeling across various data types. The roles often overlap but differ mainly in focus and application areas.

What are the key skills and qualifications needed to thrive as a computer vision engineer, and why are they important?

To thrive as a Computer Vision Engineer, you need a strong background in computer science, mathematics, and machine learning, often supported by a relevant degree and experience with image processing algorithms. Familiarity with tools and frameworks such as OpenCV, TensorFlow, PyTorch, and proficiency in programming languages like Python or C++ is essential, along with knowledge of deep learning techniques. Analytical thinking, creativity, and effective communication are standout soft skills for this role. These skills and qualities are crucial for developing innovative vision solutions, interpreting complex data, and collaborating efficiently within interdisciplinary teams.

What does a computer vision engineer do?

Computer vision is a branch of artificial intelligence that attempts to replicate human analytical processes by using algorithms and computer models to understand and identify patterns in images. As a computer vision engineer, you use software to handle the processing and analysis of large data populations, and your efforts support the automation of predictive decision-making efforts. Your responsibilities involve research, programming, data analysis, and user interface design. You may work on a variety of exciting development projects like self-driving cars, mobile devices, innovative features and capabilities in sports and entertainment, and the next generation of social media enhancements.

What are some common challenges faced by computer vision engineers when deploying models to production environments?

Computer Vision Engineers often encounter challenges such as ensuring model accuracy in diverse real-world conditions, optimizing models for efficiency on edge devices, and handling large-scale data processing. Deploying models to production requires balancing performance with resource constraints and addressing issues like latency, scalability, and data privacy. Collaborating closely with software engineers and data scientists is crucial to integrate solutions effectively and continuously monitor and improve model performance in live applications.
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For Computer Vision Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:

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Computer Vision Engineer jobs near you
Infographic showing various Computer Vision Engineer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $113,547 per year, or $54.6 per hour.

AI Engineer - Mission Innovation Lab

Software Engineering Institute

Pittsburgh, PA • On-site

Full-time

Re-posted 29 days ago

Job description

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.
As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we
  • build real-world, mission-scale AI capabilities through solving practical engineering problems

  • discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities

  • prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities

  • identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape

Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.
Overview
As an AI Engineer who thrives at the intersection of deep-learning research and production-grade software development, you will translate cutting-edge AI concepts into robust, mission-scale solutions for the warfighting community. You will work comfortably with large-scale foundation models such as GPT and LLaMA, designing and deploying agentic workflows, as well as apply and advance traditional ML research and engineering across domains such as natural language processing, computer vision, time series forecasting, and other predictive analytics. You will collaborate closely with senior researchers, software engineers, and government sponsors to define problem statements, iterate on experimental designs, and deliver secure, reliable AI capabilities that meet stringent mission requirements.
The Mission Innovation Lab within the SEI's AI Division works with the defense and national security community to translate the "recently possible" in AI into reliable mission and warfighting capabilities.
Key Responsibilities
  • Design, develop, and fine-tune a variety of AI models.

  • Design autonomous agents and multi-step pipelines using LangChain, ReAct, tool-calling, or custom orchestration; employ the Model Context protocol to manage stateful interactions.

  • Build Retrieval-Augmented Generation pipelines that combine external knowledge bases with LLMs to improve factual accuracy for warfighting applications.

  • Implement end-to-end data pipelines, ETL processes, and back-end services (Python, C/C++, Java) that feed data to models.

  • Create CI/CD pipelines for model training, validation, containerized deployment (Docker/Kubernetes), and security scanning; maintain model registries, monitoring, and version control of context protocols.

  • Produce rapid prototypes, run benchmarks, and conduct robustness/adversarial testing in realistic environments.

  • Work closely with senior ML engineers, software developers, and government customers; mentor junior staff and contribute to design reviews and documentation.

  • Stay current with emerging LLM architectures, agentic paradigms, PEFT/LoRA methods, and AI-safety techniques; translate new research into operational capabilities.

Required Qualifications
  • Bachelor's degree in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field with at least eight (8) years of relevant experience, or a MS degree in the same with at least five (5) years of relevant experience.

  • You will be subject to a background investigation and must be able to obtain and maintain an active Department of War (DoW) security clearance.
  • You must be able and willing to work onsite 5 days per week at an SEI office in either Pittsburgh, PA or Arlington, VA.

  • Proficiency in Python and at least one compiled language (C/C++ or Java); experience with REST/GraphQL APIs and containerization.

  • Strong grasp of ML theory (supervised, unsupervised, reinforcement learning) and evaluation metrics.

  • Hands-on experience fine-tuning LLMs and using frameworks such as Hugging Face Transformers, LangChain, or comparable agent tools.

  • Familiarity with building RAG pipelines (vector stores, dense/sparse retrievers).

  • Experience applying PEFT/LoRA methods (e.g., LoRA, adapters) to large models.

  • Understanding of Model Context protocols for managing model state across multi-turn interactions.

  • Experience building evaluation frameworks, benchmarks, or data quality pipelines

  • Experience with TensorFlow, PyTorch, or JAX; knowledge of data-pipeline tools (Airflow, Prefect, Ray) is a plus.

  • Awareness of DevSecOps practices (CI/CD, GitOps, container security scanning, model-registry concepts) is desirable.

Desired Experience
  • Deploying LLM APIs (FastAPI, gRPC) at scale, handling latency and load balancing.

  • Building multi-tool agents, planner-executor loops, or tool-calling pipelines for complex decision-making.

  • Conducting adversarial testing, implementing input sanitization, and contributing to AI-safety research.

  • Utilizing GPU/TPU resources, mixed-precision training, and distributed training frameworks such as DeepSpeed or ZeRO.

  • Prior work on defense, intelligence, or government-focused AI projects and familiarity with DoW acquisition or compliance processes.

  • Contributing to open-source AI and ML libraries, agentic frameworks, or context-protocol implementations.

Knowledge, Skills, & Abilities
  • Analytical thinking: decompose complex AI problems into tractable components and iterate rapidly.

  • Strong written and verbal communication skills for documenting designs and presenting results to technical and non-technical stakeholders.

  • Proven teamwork: collaborate in interdisciplinary groups, mentor peers, and contribute to shared codebases.

  • High curiosity and autonomy: proactively explore emerging technologies and integrate them into mission work.

Location
Arlington, VA, Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full time/Part time
Full time
Pay Basis
SalaryMore Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

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