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Entry Level Computer Vision Engineer Jobs in Austin, TX

Allen Control Systems

Software Engineer

Austin, TX · On-site

... computer vision, and software engineers. • Implement best practices in software engineering, including code reviews, unit testing, and documentation. • Debug, troubleshoot, and resolve software ...

AECOM

Entry Level Transit Engineer

Austin, TX

Uses computer software as a tool for solving basic engineering problems. * Performs work in ... Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D ...

AECOM

Entry Level Transit Engineer

Austin, TX · On-site

Uses computer software as a tool for solving basic engineering problems. * Performs work in ... Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D ...

Neuralink

Software Engineer, Robotics

Austin, TX

Evidence of exceptional ability in engineering or computer science. * Hands-on experience with ... Experience in computer vision. * Experience working on medical robots. * Experience working with ...

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All JobsEntry Level Computer Vision Engineer JobsEntry Level Computer Vision Engineer Jobs in Austin, TX

Entry Level Computer Vision Engineer information

See Austin, TX salary details

$48.1K

$120.4K

$136.3K

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

As of Jun 9, 2026, the average yearly pay for entry level computer vision engineer in Austin, TX is $120,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $130,300.00 per year, depending on experience, location, and employer.

What does an Entry Level Computer Vision Engineer do?

An Entry Level Computer Vision Engineer assists in developing computer systems that can interpret and process visual information from the world, such as images and videos. They typically work with machine learning algorithms, neural networks, and image processing techniques to solve problems like object detection, facial recognition, and image classification. Their work often involves data annotation, model training, testing, and optimizing algorithms under the guidance of senior engineers. Entry level engineers usually have a background in computer science or related fields and are familiar with programming languages such as Python and libraries like OpenCV and TensorFlow.

What is the difference between Entry Level Computer Vision Engineer vs Computer Vision Analyst?

AspectEntry Level Computer Vision EngineerComputer Vision Analyst
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of ML and CV frameworksBachelor's in CS, Data Science, or related; strong analytical skills
Work EnvironmentTech companies, R&D labs, startups; focus on developing algorithms and modelsData analysis teams, research firms; focus on interpreting CV data and insights
Employer & Industry UsageTech, automotive, robotics, healthcareMarket research, consulting, security, and surveillance

Entry Level Computer Vision Engineers focus on developing and implementing computer vision algorithms, often working in R&D or product teams. In contrast, Computer Vision Analysts primarily interpret and analyze CV data to generate insights. Both roles require a strong technical background, but their daily tasks and industry applications differ.

What types of projects do entry level computer vision engineers typically work on, and how much collaboration is involved?

Entry level computer vision engineers often work on tasks like annotating datasets, developing and testing algorithms for image or video analysis, and supporting the integration of computer vision models into existing applications. These projects usually require close collaboration with data scientists, senior engineers, and sometimes product managers to ensure models meet performance requirements. It's common to participate in code reviews and team meetings, fostering a supportive learning environment. As you gain experience, you'll likely take on more complex responsibilities and contribute to larger project components.

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

To thrive as an Entry Level Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, often supported by a relevant degree. Familiarity with programming languages like Python or C++, experience with deep learning frameworks (such as TensorFlow or PyTorch), and knowledge of OpenCV are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork set top candidates apart. These skills and tools are essential for developing, optimizing, and implementing computer vision solutions in real-world applications.
What are the most commonly searched types of Computer Vision Engineer jobs in Austin, TX? The most popular types of Computer Vision Engineer jobs in Austin, TX are:
What are popular job titles related to Entry Level Computer Vision Engineer jobs in Austin, TX? For Entry Level Computer Vision Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Vision Engineer jobs in Austin, TX look for? The top searched job categories for Entry Level Computer Vision Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Entry Level Computer Vision Engineer jobs? Cities near Austin, TX with the most Entry Level Computer Vision Engineer job openings:
Entry Level Computer Vision Engineer jobs near you

Software Engineer

Allen Control Systems

Austin, TX • On-site

Full-time

Posted 17 hours ago

Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup developing advanced technologies for targeting and neutralizing drones. They are seeking a highly skilled software engineer proficient in C++ or Python to design and maintain high-performance software applications.
Responsibilities:
• Design, develop, and maintain high-performance software applications using C++.
• Optimize and enhance existing software for efficiency, scalability, and reliability.
• Collaborate with cross-functional teams, including mechanical, electrical, computer vision, and software engineers.
• Implement best practices in software engineering, including code reviews, unit testing, and documentation.
• Debug, troubleshoot, and resolve software defects and performance issues.
• Work with modern development tools, version control systems (Git), and CI/CD pipelines.
• Develop algorithms and data structures to solve complex computational problems.
• Ensure security and compliance standards are met in software development.
Qualifications:
Required:
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Strong proficiency in C++ (C++11/14/17/20) and Python.
• Experience with multi-threading, concurrency, and performance optimization.
• Familiarity with software development methodologies and design patterns.
• Knowledge of system programming, memory management, and debugging tools.
• Experience with version control systems (Git) and agile development practices.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Professional experience in software development preferred.
Preferred:
• Experience with GPU programming (CUDA, OpenCL) or parallel computing.
• Knowledge of networking protocols and distributed systems.
• Exposure to machine learning frameworks (TensorFlow, PyTorch) or scientific computing.
• Experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines)
Company:
Allen Control Systems is a robotics defense company that develops counter-drone technology for the U.S. and its allied forces. Founded in 2022, the company is headquartered in Austin, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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