Software Engineer - Computer Vision & Machine Learning

Rfamec

Urbandale (IA)

On-site

USD 70,000 - 140,000

Full time

3 days ago
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Benefits offered by this job

Health Insurance
401k Plan
Paid Time Off
Vision & Dental
Employee Assistance

Job summary

RFA Engineering is seeking a Software Engineer in Robotics, Perception, Vision Processing and Machine Learning to architect, develop and integrate new intelligent features for agricultural and off-highway equipment.

The role focuses on machine learning, computer vision, and autonomy with production-ready implementations; you will work with camera, Lidar and edge devices and contribute to cutting-edge AI for industrial applications.

Qualifications

  • Experience with data visualization, data management, data querying (eg SQL, Tableau, PowerBI, matplotlib).
  • Experience developing and understanding computer vision and machine learning algorithms (models development in pytorch, tensorflow).
  • Ability to quickly learn state of the art technologies, state of the art research in the domains of computer vision, AI, robotics and be able to implement.
  • Competent in generating, interpreting, and communicating statistical data well and measuring the right statistics to answer the right questions.
  • Proficiency in C++ and/or Python.
  • Experience with Databricks, AWS, cloud.

Responsibilities

  • Develop machine learning and computer vision algorithms for automation and autonomy product development.
  • Design, implement, and optimize machine learning algorithms and computer vision solutions for production intent hardware. Work with Stereo, monocular cameras, Lidar, radar, edge compute devices.
  • Data collection and processing for CVML algorithms development. Utilize data-driven insights to inform your development process and improve models/algorithms.
  • Quickly learn new technologies, tools, and methodologies in computer vision and machine learning; stay current with research and share insights with the team.
  • Primary needs relating to theoretical geometric computer vision (eg singleton localization, SLAM, triangulation, projection geometry, feature detection, depth estimation, camera models/calibration).
  • Secondary needs relating to ML algorithm development (model definition, data prep, architecture design, training, evaluation, deployment).

Skills

C++
Python
PyTorch
TensorFlow
Data visualization
SQL
Tableau
PowerBI
AWS
Databricks

Education

Bachelor's degree in Computer Engineering
Bachelor's degree in Electrical Engineering
Bachelor's degree in Software Engineering

Tools

Databricks
AWS

Job description

Software Engineer - Computer Vision & Machine Learning

Job Category: Emb Sys Eng Dev/ Test

Requisition Number: SOFTW001593

  • Posted : September 3, 2026
  • Full-Time
Locations

Showing 1 location

Urbandale, IA 50131, USA

Description

RFA Engineering (www.rfamec.com ) supports industry-leading clients through the full software development lifecycle to build cutting-edge precision agriculture, machine guidance, vehicle automation and autonomy applications. We are seeking passionate, talented engineers to work on exciting projects using the latest tools and technologies including robotics, computer-vision, machine learning, IoT, cloud computing, and much more. Collaborate with a team of industry experts onsite at our client's world-class engineering center and contribute to developing innovative solutions that drive sustainable agriculture practices.

full benefit package listed below that includesopportunitiesfor professional growth, direct hire by our customers, and additional opportunities within our own organization.

Software Engineer – Computer Vision & Machine Learning

RFA Engineering is seeking a Software Engineer in the field of Robotics, Perception, Vision Processing andMachine Learning toarchitect,develop andintegrate new intelligent features into the next generation of agricultural and off-highway equipment.

Responsibilities
  • Develop machine learning and computer vision algorithms for automation and autonomy product development.
  • Design, implement, and optimize machine learning algorithms and computer vision solutions for production intent hardware. Work with Stereo, monocular cameras, Lidar, radar, edge compute devices.
  • Data collection and processing for CVML algorithms development. Utilize data-driven insights to inform your development process and improve models/algorithms.
  • Quickly learn new technologies, tools, and methodologies in the fields of computer vision and machine learning. Stay abreast of the latest research and trends, applying this knowledge to your work and sharing insights with the team.
  • Primary needs relating totheoretical geometric computer vision - involving concepts like singletons, SLAM (localization, mapping), triangulation, projective geometry, feature detection, depth estimation, camera models/calibration/rectification
  • Secondary needs relating toMachine Learning algorithm development. All aspects of model architecture development including: problem definition, data collection/prep, model selection, architecture design, training , evaluation, optimization, deployment, monitoring/maintenance.
Technical Qualifications:
  • Experience with data visualization, data management, data querying (eg SQL, Tableau, PowerBI, matplotlib)
  • Experience developing and understanding computer vision and machine learning algorithms (models development in pytorch, tensorflow, experience with linear algebra, optimization etc.)
  • Ability to quickly learn state of the art technologies, state of the art research in the domains of computer vision, AI, robotics and be able to implement.
  • Competent in generating, interpreting, and communicating statistical data well and measuring the right statistics to answer the right questions
  • Comfortability reading documentation to read and write good code
  • Proficiency in C++ and/or Python.
  • Experience with Databricks, AWS, cloud
  • Technical expertise matters less in comparison to intelligence, work ethic, and willingness to learn.
Personal Qualification
  • Exceptional work ethic and willingness to learn.
  • Trailblazing spirit: Eager to solve problems in the autonomous robotics and AI space that have never been solved before.
  • Passionate about artificial intelligence, machine learning, robotics, autonomy, and automation.
  • Eager to OWN work fully and to make decisions with autonomy to deliver.

Pay Range: $70,000-$140,000 – Commensurate with experience

Visa Sponsorship is NOT available for this position.

About RFA Engineering

RFA Engineering has provided product development and engineering services to industry leading customers since 1943. Our primary focus is the development of off highway equipment including agricultural, construction, mining, recreational, industrial, and special machines. Our work includes concept development, product design, documentation, problem-solving, simulation, optimization, and testing of components, systems and complete machines. Our engineering staff is located at our Engineering Center in Minneapolis, branch office in Dubuque, IA, and at numerous customer sites throughout the U.S.

Competitive Benefits
  • Health and Dental Insurance
  • TelaDoc Healthiest You
  • Supplemental Vision Insurance
  • Company Paid Life Insurance
  • Company Paid Long-Term Disability
  • Short-term Disability
  • Retirement Savings Account (Traditional 401k & Roth 401k)
  • Flexible Spending Plan Dependent Care
  • HSA for Medical Expenses
  • Bonus Plan (Exempt Employees Only)
  • Paid Time Off (PTO)
  • Paid Holidays
  • Employee Assistance Programs (EAP)
  • Education Assistance
Equal Opportunity and Veteran Friendly
Qualifications
Education
Preferred

Bachelors of Science or better in Computer Engineering or related field.

Bachelors of Science or better in Electrical Engineering or related field.

Bachelors of Science or better in Software Engineering or related field.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

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