Entry Level Vision Engineer Jobs
New grad vision engineer jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio of computer vision projects or internship work often carries more weight than a lengthy resume. Most openings are on-site roles concentrated in Technology & Software, Social Media, and Media & Entertainment, with employers like Apple, Bot Auto, and OVERVIEW hiring at this level now.
Find JobsOverview
Showing 5 of 6+ Entry Level Vision Engineer jobs
INTRODUCTION
Computer Vision Engineer
Location: Bellevue, WA. Onsite
Job Type: Full-time
Hands on Python coding experience is required. We seek candidates from industrial automation, sensors, PLCs, Jetson/edge computing, YOLO, anomalies, CNN, PyTorch/YOLO, PLC.
In this role, you’ll work across Computer Vision, IIoT, Robotics, Hardware, Software, Controls, and Industrial Automation to develop next-generation solutions for fulfillment and material-handling systems.
What You’ll Work On
- Lead complex, cross-functional engineering projects from concept to deployment.
- Design and develop computer vision solutions for industrial and fulfillment environments.
- Build and configure IIoT hardware, sensors, cameras, and edge-computing systems.
- Develop and deploy YOLO/CNN-based computer vision models, including training, fine-tuning, and optimization.
- Deploy vision models on edge devices such as NVIDIA Jetson, Raspberry Pi, and CPU/GPU platforms.
- Build end-to-end vision pipelines using Python and Linux.
- Work with real-time data, PLC-connected sensors, and industrial systems.
- Integrate computer vision outputs with APIs, dashboards, and UI applications.
- Collaborate with scientists on simulation and “what-if” analysis to optimize hardware and system designs.
- Work with engineering teams, vendors, and suppliers to develop innovative solutions.
- Create technical documentation including prototypes, schematics, specifications, test plans, and engineering standards.
- Drive projects involving equipment design, material flow, process optimization, ergonomics, and operator experience.
Key Skills
- Strong Python and Linux skills
- Hands-on Computer Vision / Deep Learning
- Experience with YOLO, CNNs, model training & fine-tuning
- Experience deploying models on edge devices
- Knowledge of cameras, sensors, and IIoT
- Experience with industrial environments, PLCs, and real-time systems
- Familiarity with Amazon SageMaker
- Strong system integration and troubleshooting skills
- Excellent project management and communication skills
- Ability to work in fast-paced, ambiguous, and cross-functional environments
Role Expectations
- Approximately 30% travel across USA
- Collaboration with engineering, science, operations, and external partners
- Ability to work from a corporate office when not traveling
- Candidates should be willing to relocate within a reasonable commuting distance
If you’re passionate about Computer Vision + AI + Edge Computing + Industrial Automation and want to work on large-scale physical systems, this could be an exciting opportunity.
Come help us build the future of fulfillment! 🚀
Hiring #ComputerVision #AI #MachineLearning #DeepLearning #Python #YOLO #IIoT #EdgeAI #Robotics #IndustrialAutomation #ComputerVisionEngineer #EngineeringJobs #TechJobs
INTRODUCTION
Computer Vision Engineer
Location: Bellevue, WA. Onsite
Job Type: Full-time
Hands on Python coding experience is required. We seek candidates from industrial automation, sensors, PLCs, Jetson/edge computing, YOLO, anomalies, CNN, PyTorch/YOLO, PLC.
In this role, you’ll work across Computer Vision, IIoT, Robotics, Hardware, Software, Controls, and Industrial Automation to develop next-generation solutions for fulfillment and material-handling systems.
What You’ll Work On
- Lead complex, cross-functional engineering projects from concept to deployment.
- Design and develop computer vision solutions for industrial and fulfillment environments.
- Build and configure IIoT hardware, sensors, cameras, and edge-computing systems.
- Develop and deploy YOLO/CNN-based computer vision models, including training, fine-tuning, and optimization.
- Deploy vision models on edge devices such as NVIDIA Jetson, Raspberry Pi, and CPU/GPU platforms.
- Build end-to-end vision pipelines using Python and Linux.
- Work with real-time data, PLC-connected sensors, and industrial systems.
- Integrate computer vision outputs with APIs, dashboards, and UI applications.
- Collaborate with scientists on simulation and “what-if” analysis to optimize hardware and system designs.
- Work with engineering teams, vendors, and suppliers to develop innovative solutions.
- Create technical documentation including prototypes, schematics, specifications, test plans, and engineering standards.
- Drive projects involving equipment design, material flow, process optimization, ergonomics, and operator experience.
Key Skills
- Strong Python and Linux skills
- Hands-on Computer Vision / Deep Learning
- Experience with YOLO, CNNs, model training & fine-tuning
- Experience deploying models on edge devices
- Knowledge of cameras, sensors, and IIoT
- Experience with industrial environments, PLCs, and real-time systems
- Familiarity with Amazon SageMaker
- Strong system integration and troubleshooting skills
- Excellent project management and communication skills
- Ability to work in fast-paced, ambiguous, and cross-functional environments
Role Expectations
- Approximately 30% travel across USA
- Collaboration with engineering, science, operations, and external partners
- Ability to work from a corporate office when not traveling
- Candidates should be willing to relocate within a reasonable commuting distance
If you’re passionate about Computer Vision + AI + Edge Computing + Industrial Automation and want to work on large-scale physical systems, this could be an exciting opportunity.
Come help us build the future of fulfillment! 🚀
Hiring #ComputerVision #AI #MachineLearning #DeepLearning #Python #YOLO #IIoT #EdgeAI #Robotics #IndustrialAutomation #ComputerVisionEngineer #EngineeringJobs #TechJobs
See All 6 Entry Level Vision Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsEntry Level Vision Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Social Media
- Media & Entertainment
- Electronics & Hardware
Entry Level Vision Engineer Jobs: Frequently Asked Questions
How do I get an entry level vision engineer job?
Build a portfolio of hands-on computer vision projects using tools like OpenCV, PyTorch, or TensorFlow, since employers at this level prioritize demonstrated skills over years of experience. Internship experience, Kaggle competitions, and open-source contributions all strengthen an application. Target postings that explicitly mention new graduates, 0 to 2 years of experience, or a willingness to train candidates with strong fundamentals.
Which companies hire entry level vision engineers?
Companies hiring entry level vision engineers right now include Apple, Bot Auto, and OVERVIEW, based on current listings on Migrate Mate as of November 2026. At this level, hiring covers startups building perception systems, established robotics and automation firms, and tech companies with dedicated computer vision teams, all of which regularly recruit recent graduates and junior engineers.
Are there remote entry level vision engineer jobs?
Yes, though on-site and hybrid roles remain more common at the entry level. About 20% of entry level vision engineer openings are remote or hybrid as of November 2026, reflecting employer preferences for in-person mentorship and access to specialized hardware like cameras, GPUs, and test environments that are difficult to replicate at home.
Are these new grad vision engineer jobs?
Yes, the roles listed here include new grad, recent graduate, and junior vision engineer positions. A posting is typically new-grad friendly when it welcomes zero to two years of experience, accepts internship or academic project work in place of professional history, or lists a portfolio as an acceptable substitute for a traditional resume. These are the roles to focus on when you are entering the field for the first time.
Which industries hire the most entry level vision engineers?
Entry Level vision engineer roles concentrate in Technology & Software, Social Media, and Media & Entertainment, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at the entry level because they depend on image processing, object detection, and machine learning pipelines where organizations actively develop junior talent rather than requiring deep prior experience.