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Entry Level Computer Vision Deep Learning Engineer Jobs in Blanco, TX

Contoro Robotics

SW and Controls Engineer

Austin, TX · On-site

$44.75 - $57.25/hr

Take models from prototype to production; evaluate the right mix of classical CV, deep learning ... Experience with computer vision: 1D/2D barcode decoding, label detection, and OCR; 6-DoF pose ...

Varsity Tutors

Machine Learning Tutor

Austin, TX · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

San Marcos, TX · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Allen Control Systems

Software Engineer

Austin, TX · On-site

We are developing a small, autonomous gun turret that employs advanced computer vision and control ... Exposure to machine learning frameworks (TensorFlow, PyTorch) or scientific computing. * Experience ...

Allen Control Systems

Software Engineer

Austin, TX

We are developing a small, autonomous gun turret that employs advanced computer vision and control ... Exposure to machine learning frameworks (TensorFlow, PyTorch) or scientific computing. * Experience ...

Allen Control Systems

Platform Engineer

Austin, TX · On-site

We are developing a small, autonomous gun turret that employs advanced computer vision and control ... Deep expertise in bare-metal Kubernetes administration, including CNI configuration, storage ...

Allen Control Systems

Platform Engineer

Austin, TX

We are developing a small, autonomous gun turret that employs advanced computer vision and control ... Deep expertise in bare-metal Kubernetes administration, including CNI configuration, storage ...

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All JobsComputer Vision Deep Learning Engineer JobsEntry Level Computer Vision Deep Learning Engineer JobsEntry Level Computer Vision Deep Learning Engineer Jobs in Blanco, TX

Entry Level Computer Vision Deep Learning Engineer information

See Blanco, TX salary details

$44.1K

$110.5K

$125K

How much do entry level computer vision deep learning engineer jobs pay per year?

As of Jul 23, 2026, the average yearly pay for entry level computer vision deep learning engineer in Blanco, TX is $110,510.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $119,600.00 per year, depending on experience, location, and employer.

What types of projects do entry-level Computer Vision Deep Learning Engineers typically work on, and how is their work structured within a team?

As an entry-level Computer Vision Deep Learning Engineer, you can expect to contribute to projects like object detection, image classification, and model optimization for real-world applications. Your tasks may include data preprocessing, training and evaluating neural networks, and writing code to integrate models into products or pipelines. You'll often collaborate closely with senior engineers, data scientists, and product managers, typically working in agile teams where regular code reviews and knowledge sharing are common. This collaborative environment not only helps you learn best practices but also provides opportunities to gradually take on more responsibility as your skills develop.

What does an Entry Level Computer Vision Deep Learning Engineer do?

An Entry Level Computer Vision Deep Learning Engineer works on developing and implementing algorithms that allow computers to interpret and understand visual information from the world, such as images or videos. They typically use deep learning techniques, especially neural networks, to build models for tasks like object detection, facial recognition, and image classification. Their responsibilities may include data preprocessing, model training and evaluation, writing code (often in Python), and collaborating with senior engineers on real-world projects. This role is ideal for those who have a strong foundation in machine learning, programming, and mathematics, but are just starting their careers in the field.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Vision Deep Learning Engineer, and why are they important?

To thrive as an Entry Level Computer Vision Deep Learning Engineer, you need a solid understanding of computer vision fundamentals, deep learning concepts, and programming skills in languages like Python, along with a relevant degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with OpenCV, and knowledge of version control systems like Git are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate within teams and tackle complex challenges. These skills and qualities are crucial for developing, deploying, and optimizing computer vision solutions that meet real-world business needs.
What cities near Blanco, TX are hiring for Entry Level Computer Vision Deep Learning Engineer jobs? Cities near Blanco, TX with the most Entry Level Computer Vision Deep Learning Engineer job openings:
Entry Level Computer Vision Deep Learning Engineer jobs near you
SW and Controls Engineer

SW and Controls Engineer

Contoro Robotics

Austin, TX • On-site

$44.75 - $57.25/hr

Full-time

Posted 20 days ago

Job description

Join Contoro Robotics - Revolutionizing Warehouse Automation with Cutting-Edge Robotics
At Contoro Robotics, we're on a mission to solve labor challenges through advanced robotic solutions. Headquartered in Austin, TX, our fast-growing startup is transforming the supply chain industry with our flagship warehouse automation technology. Our team is made up of top-tier experts in robotics, AI, and logistics, working together to push the boundaries of automation.
We're looking for talented and ambitious individuals to join us on this journey-helping shape the future of robotics while growing alongside a world-class team. If you're passionate about innovation, problem-solving, and making a real-world impact, we want to hear from you!
SW and Controls Engineer
The Role
We're standing up a brand-new automation product, and we're looking for a software-leaning generalist to own the software and controls that make it work as one machine, from sensing and perception, through motion and robotics, to the controls and conveyance that tie it together.
What makes this role unique is the starting point. We're not building from zero: the company has established engineering teams that have already built and proven a number of modules across vision, motion planning, cloud, and autonomy. The ideal system leverages these existing building blocks and integrates them into a new product, rather than reinventing each piece. You'll be the person who figures out what to reuse, what to build new, and how to make it all work together.
This is an early, hands-on individual-contributor role. You'll start alongside a small team of 1-2 mechanical and electrical engineers, this software role, and a few interns, and own the software and controls backbone for the new product. As the product matures, the team will grow, and you'll have shaped the foundation it grows on.
Job Responsibilities
  • Own the System End-to-End
    • Own the product as one system: tie perception, motion and robotics, controls, and conveyance together into a coordinated, reliable machine.
    • Define the interfaces, data flow, and sequencing across the system (perception decides, motion executes) and own its behavior end-to-end.
  • Software & Integration
    • Work with the company's vision, motion planning, cloud, and autonomy teams to identify which proven modules to build on, and integrate them into the new product.
    • Establish a common module backbone where it counts, particularly the perception AI stack and the cloud infrastructure, so the new product stays aligned with shared platforms rather than diverging.
    • Build the production software backbone that runs the system: device communication, orchestration and state management, logging, and the data pipelines that connect perception outputs to motion and control.
    • Write maintainable, testable code; lean on the company's experienced platform teams for CI/CD, infrastructure, and shared tooling rather than rebuilding it.
  • Perception & Vision
    • Design and build the rig that legibly captures the required scene across the product's range of inputs, including readable text, labels, and barcodes.
    • Optics design: camera/lens selection, field of view, working distance, depth of field, and resolution, plus lighting and synchronized triggering for fast, repeatable capture.
    • Develop or adapt the models that turn captured images into actionable data: identification, pose detection, label and barcode reading, and OCR where needed.
    • Take models from prototype to production; evaluate the right mix of classical CV, deep learning, depth, and cloud/local inference.
  • Controls & Motion
    • Bring up and integrate PLC, motion, robot, and I/O (conveyors, actuators, sensors, and safety) into the control system.
    • Coordinate robot and motion with sensing, actuation, and conveyance; tune for throughput and reliability on real flow.
  • Deployment & Commissioning
    • Commission, calibrate, and validate the system on-site; debug across software, controls, and mechanical/electrical boundaries.
    • Deploy at customer sites, measure performance on real-world flow, and iterate.
Qualification/Requirements
  • Education: Minimum B.S. in Computer Science, Electrical Engineering, Robotics, Mechatronics, or a related field (or equivalent industry experience).
  • Technical Expertise:
    • Strong software engineer first: proficient in Python, comfortable architecting and shipping production software.
    • Has brought up industrial automation systems end-to-end, integrating software, computer vision, motion, PLC/controls, and hardware into a working machine.
    • Hands-on with robotics middleware (e.g., ROS/ROS2) and PLC platforms; comfortable working close to the hardware.
    • Generalist mindset: willing to cross software, controls, and electromechanical boundaries to get the system working.
    • Comfortable integrating and building on existing modules and shared platforms rather than reinventing them.
  • Soft Skills:
    • Excellent communication and collaboration across software, mechanical, electrical, and the broader engineering teams whose modules you'll build on.
    • Thrives in an early-stage, build-from-scratch environment with high ownership and ambiguity.
  • Able to work on-site at Contoro's office in Austin, TX.
Preferred/Plus
  • Experience with computer vision: 1D/2D barcode decoding, label detection, and OCR; 6-DoF pose estimation, depth cameras + CV, or tools like Roboflow.
  • Real-time or motion control, robot programming, and safety/interlock integration.
  • Exposure to material-handling, or warehouse-automation environments.

*Recruitment Agencies: Please do not contact our employees regarding this role. We partner with a select group of approved recruiting firms and do not accept unsolicited outreach or candidate submissions.

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