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Senior Computer Vision Engineer Jobs in Iowa City, IA

Braun Intertec

Senior Engineer

Cedar Rapids, IA · On-site

$96K - $144K/yr

Braun Intertec is seeking a Senior Geotechnical Engineer to join our Cedar Rapids office. This ... vision, life insurance, 401(k) plan, PTO, Employee Stock Ownership Program (ESOP), and paid ...

W&M Environmental Group

Senior Engineer

Cedar Rapids, IA · On-site

$96K - $144K/yr

Braun Intertec is seeking a Senior Geotechnical Engineer to join our Cedar Rapids office. This ... vision, life insurance, 401(k) plan, PTO, Employee Stock Ownership Program (ESOP), and paid ...

Braun Intertec

Senior Engineer

Cedar Rapids, IA · On-site

$96K - $144K/yr

Braun Intertec is seeking a Senior Geotechnical Engineer to join our Cedar Rapids office. This ... vision, life insurance, 401(k) plan, PTO, Employee Stock Ownership Program (ESOP), and paid ...

Team AMG

Senior Installation Field Engineer

Iowa City, IA · On-site

$42.99/hr

Bachelor's degree in computer science, Information System, Information Technology, or Equivalent ... PTO, Medical/Dental/Vision plan, Life and AD&D insurance, 401K Plan We are an Equal Opportunity ...

Crystal Group

Senior Mechanical Engineer

Cedar Rapids, IA · On-site

$102K - $135K/yr

Medical/dental/vision insurance * Paid time off * Tuition reimbursement * Wellness programs ... Proficientwith Computer Numerical Control design requirements * Advancedknowledge of computer ...

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All JobsComputer Vision Engineer JobsSenior Computer Vision Engineer JobsSenior Computer Vision Engineer Jobs in Iowa City, IA

Senior Computer Vision Engineer information

See Iowa City, IA salary details

$58.2K

$123.8K

$179.6K

How much do senior computer vision engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior computer vision engineer in Iowa City, IA is $123,835.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $140,400.00 per year, depending on experience, location, and employer.

What is a senior computer vision engineer?

Senior Computer Vision Engineers are experienced professionals who design, develop, and optimize computer vision algorithms and systems. They typically work on advanced projects involving image and video analysis, object detection, facial recognition, and related technologies. These engineers often lead teams, set technical direction, and collaborate with other departments to integrate computer vision solutions into products or services. Their role requires strong expertise in programming, machine learning, and mathematics, as well as staying current with the latest research in the field.

What are the key skills and qualifications needed to thrive as a senior computer vision engineer?

To thrive as a Senior Computer Vision Engineer, you need a deep understanding of computer vision algorithms, strong programming skills (especially in Python or C++), and a background in mathematics or related fields, often supported by a master's or PhD. Proficiency with machine learning frameworks (such as TensorFlow, PyTorch, or OpenCV), and experience with version control systems are typically required. Exceptional problem-solving abilities, effective communication, and leadership skills help in collaborating with teams and driving innovation. These skills ensure the development of robust vision solutions, efficient project execution, and alignment with organizational goals.

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

One common challenge for Senior Computer Vision Engineers is ensuring that models perform reliably in real-world conditions, which often differ significantly from controlled training datasets. Handling variations in lighting, angles, and image quality can impact model accuracy, requiring ongoing data collection and retraining. Additionally, optimizing models for efficiency and latency is crucial when deploying to edge devices or cloud platforms, and collaboration with DevOps and software engineering teams is essential to integrate solutions seamlessly into production pipelines.

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

AspectSenior Computer Vision EngineerComputer Vision Engineer
Required CredentialsBachelor's/Master's/PhD in CS, Electrical Engineering, or related field; experience in computer visionBachelor's or higher in relevant field; similar experience levels
Work EnvironmentAdvanced projects, mentorship roles, leadership responsibilitiesDevelopment and implementation of computer vision algorithms, research, and prototyping
Employer & Industry UsageTech companies, automotive, robotics, healthcareStartups, research labs, tech firms, manufacturing

The main difference between a Senior Computer Vision Engineer and a Computer Vision Engineer lies in experience and responsibilities. Senior roles typically involve leadership, mentorship, and complex project management, while standard roles focus on developing and implementing algorithms. Both positions require similar educational backgrounds and industry experience, but senior engineers often handle more strategic tasks and oversee projects.

What job categories do people searching Senior Computer Vision Engineer jobs in Iowa City, IA look for?

The top searched job categories for Senior Computer Vision Engineer jobs in Iowa City, IA are:

What cities near Iowa City, IA are hiring for Senior Computer Vision Engineer jobs?

Cities near Iowa City, IA with the most Senior Computer Vision Engineer job openings:

Senior Computer Vision Engineer jobs near you
Infographic showing various Senior Computer Vision Engineer job openings in Iowa City, IA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, and 6% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $123,835 per year, or $59.5 per hour.

Software Engineering Manager

VIDA Diagnostics

Coralville, IA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

Job description

About VIDA 

VIDA is the global leader in AI-powered Biomarker Intelligence Solutions. We use our secure, cloud-native medical imaging technology to create quantitative imaging biomarkers. Our engineering teams sit at the intersection of large-scale data processing, AI/ML, and distributed computer vision workloads. 

 This position is Hybrid out of our Coralville, IA or Edina, MN office.

Role Overview 

As a Software Engineering Manager at VIDA, you will have a strong technical depth in cloud-native, distributed data processing systems – high-throughout, horizontally scalable architectures capable of processing millions to billions of events, managing fan-out/fan-in workflows, and orchestrating large-scale data movement across distributed compute clusters. In this role, you will manage and grow a team of backend and platform engineers responsible for building VIDA’s distributed compute and data backbone: high-volume ingestion pipelines, scalable workflow engines, secure data storage layers, and AI/ML-supporting infrastructure for the VIDA Intelligence Platform and VIDA Biobank. You’ll partner closely with Product, Data Science, QA, Security, and Operations to deliver highly reliable, compliant, multi-tenant systems that support pharma trials, large-scale imaging research, and next-generation AI workloads.   

As a Software Engineering Manager, your key responsibilities will be: 

Team Leadership & Delivery 

  • Lead, mentor, and develop a team of software engineers focused on backend services, distributed systems, and cloud infrastructure. 
  • Build and engineering culture grounded in reliability, observability, automation, and high accountability. 
  • Drive execution of critical platform initiatives: scalable DICOM ingestion, distributed workflow orchestration, batch data processing pipelines, and date lake/lakehouse systems. 
  • Ensure Engineering best practices across code quality, testing, CI/CD, IaC, and operational readiness. 

Technical Ownership & Architecture 

  • Provide strong hands-on technical guidance in system design, distributed systems patterns, and cloud-native architecture. 
  • Own the reliability and performance of distributed components such as: 
    • Event-driven pipelines (Kinesis, Kafka, Pub/Sub equivalents) 
    • Workflow orchestration (Step Functions, Temporal, Airflow) 
    • Scalable microservices for multi-tenant data access 
  • Collaborate with senior architects and the VP of Engineering on platform roadmaps and architectural evolution. 
  • Champion modern distributed systems practices including idempotent operations, partitioning, caching, backpressure management, and autoscaling. 

Cross-Functional Collaboration 

  • Work with Product Management to break down features into clear technical plans and deliverable increments. 
  • Partner with Data Science/ML teams to support model training, inference workflows, and large-scale compute jobs. 
  • Coordinate with Security, Compliance, and DevOps to ensure systems meet HIPAA, SOC2, GDPR, and GxP standards. 
  • Collaborate with Customer Success and Support teams to diagnose issues and improve platform-level SLAs. 

Required Qualifications 

  • 7+ years of experience building large-scale backend or distributed systems; 2+ years managing or leading technical teams. 
  • Deep experience with cloud-native distributed architectures (AWS preferred). 
  • Hands-on knowledge of: 
    • Event-driven systems (Kafka/Kinesis/PubSub) 
    • Microservices at scale (ECS/EKS/Lambda) 
    • Distributed data storage (S3, RDS, DynamoDB, Delta Lake) 
    • Workflow orchestration frameworks 
    • LLM Coding tools (Claude Code, OpenAI Codex, or Gemini Antigravity 
  • Strong design and distributed systems fundamentals: consensus, partitioning, caching, backpressure, idempotency, retries, stream processing. 
  • Proficient in modern programming languages (Python, Go, Java, or similar). 
  • Experience building or managing multi-tenant SaaS systems with strict SLAs. 
  • Experience operating systems in compliance-sensitive environments (healthcare, finance, enterprise SaaS). 
  • Strong experience with aligning teams to adopt AI assisted programming methodologies 

Preferred Qualifications 

  • Experience with medical imaging, DICOM, or AI/ML data processing. 
  • Familiarity with lakehouse architectures, Databricks, large-scale batch compute platforms. 

All VIDA employees are expected to be flexible and have an entrepreneurial mindset.  Other duties may be assigned as needed. In addition, VIDA offers a wide selection of benefits including health insurance (medical, dental, vision), retirement planning (401k), and paid time off to name a few.  

VIDA is an equal opportunity employer.  Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran’s status, age or disability.