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Computer Science Environmental Jobs in Austin, TX

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Computer Science Environmental information

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$40.6K

$83.4K

$121.9K

How much do computer science environmental jobs pay per year?

As of Jul 13, 2026, the average yearly pay for computer science environmental in Austin, TX is $83,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,300.00 and $97,600.00 per year, depending on experience, location, and employer.

What kinds of projects do Computer Science Environmental professionals typically work on?

Professionals in Computer Science Environmental roles commonly work on projects such as developing models to predict the impacts of climate change, creating software tools for environmental data analysis, or building systems for monitoring air and water quality. You may collaborate with environmental scientists, engineers, and policy makers to design technology-based solutions that address environmental issues. These projects often involve handling large data sets, implementing algorithms, and visualizing results for diverse audiences. This dynamic role offers the opportunity to make a tangible impact on sustainability efforts by leveraging your technical expertise in real-world applications.

Is computer science an environmental science?

Computer science is a field focused on the study of algorithms, programming, and computing systems, and it is not classified as an environmental science. However, computer science skills are used in environmental modeling, data analysis, and developing technologies for environmental monitoring. Professionals in computer science may work on environmental data projects or sustainability initiatives, but the core discipline remains separate from environmental science.

What are the key skills and qualifications needed to thrive in the Computer Science Environmental position, and why are they important?

To thrive as a Computer Science Environmental professional, you should possess a solid background in computer science, data analysis, and environmental science, often supported by a relevant degree. Familiarity with programming languages (such as Python or R), geographic information systems (GIS), climate modeling software, and environmental databases is typically required. Strong problem-solving skills, attention to detail, and collaborative communication help individuals stand out in multidisciplinary teams. These skills are vital for effectively developing, analyzing, and implementing technology-driven solutions to complex environmental challenges.

What is the highest paying job in environmental science?

In environmental science, environmental managers and directors typically have the highest salaries, often earning over $100,000 annually. These roles require strong leadership skills, advanced degrees, and experience in environmental policy, compliance, or sustainability initiatives.

What computer should I buy for environmental science major?

Environmental science majors, including those in computer science environmental roles, should choose a laptop with at least 8GB of RAM, a fast processor like an Intel i5 or AMD Ryzen 5, and sufficient storage, such as 256GB SSD, to handle data analysis and modeling tasks. A lightweight, durable device with good battery life is also beneficial for fieldwork and on-the-go study. Additionally, compatibility with data analysis software like GIS tools or programming environments may influence the choice of operating system, with Windows and macOS being common options.

What is a Computer Science Environmental job?

A Computer Science Environmental job involves applying computer science skills to solve environmental challenges, such as climate modeling, data analysis for sustainability, or developing software for environmental monitoring. Professionals in this field work with big data, machine learning, and simulation models to assess environmental impacts and optimize resource management. They may collaborate with scientists, policymakers, and engineers to develop technology-driven solutions for conservation, pollution control, and energy efficiency.

What are the top 12 careers for environmental majors?

Environmental majors can pursue careers such as environmental scientist, environmental engineer, conservation scientist, sustainability specialist, environmental analyst, renewable energy technician, environmental policy analyst, wildlife biologist, environmental consultant, climate change analyst, water resource specialist, and environmental educator. These roles often require knowledge of environmental regulations, data analysis, and fieldwork, with many positions requiring relevant certifications or advanced degrees.
What are the most commonly searched types of Computer Science Environmental jobs in Austin, TX? The most popular types of Computer Science Environmental jobs in Austin, TX are:
What are popular job titles related to Computer Science Environmental jobs in Austin, TX? For Computer Science Environmental jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Computer Science Environmental jobs in Austin, TX look for? The top searched job categories for Computer Science Environmental jobs in Austin, TX are:
What cities near Austin, TX are hiring for Computer Science Environmental jobs? Cities near Austin, TX with the most Computer Science Environmental job openings:
Computer Science Environmental jobs near you
Infographic showing various Computer Science Environmental job openings in Austin, TX as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $83,384 per year, or $40.1 per hour.

Computer Vision & Machine Learning Engineer

Allen Control Systems

Austin, TX • On-site

$110K - $130K/yr

Full-time

Posted 13 days ago

Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup developing autonomous gun turrets with advanced computer vision and control systems. The role involves developing and optimizing computer vision algorithms and machine learning models for drone detection and tracking, while collaborating with electrical engineers and conducting extensive testing.
Responsibilities:
• Development and optimization of computer vision algorithms for our autonomous gun turret, focusing on real-time drone detection, tracking, and classification.
• Design and implement machine learning models that can operate in resource-constrained environments while maintaining high accuracy and reliability.
• Collaborate closely with electrical engineers to integrate computer vision systems into the turret's hardware architecture.
• Conduct extensive testing and validation of computer vision algorithms in various scenarios to ensure robustness and performance under different environmental conditions.
• Contribute to the hardening of the prototype turret into a military-grade system, and assist in developing variants for different weapon systems and engagement ranges.
Qualifications:
Required:
• Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
• At least a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
• 4-7+ years of experience working on machine-learning-based computer vision, ideally in the context of robotics.
• A proven track record of developing and deploying computer vision systems, ideally in real-time or safety-critical applications.
• Proficient in Python, C++, and have experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Experience with embedded systems and integrating computer vision algorithms into hardware.
• Familiar with various sensors (e.g., cameras, LIDAR, RADAR) and their integration into autonomous systems.
• You enjoy collaborating with other engineers to solve complex technical challenges.
Company:
Allen Control Systems develops autonomous defense technologies designed to detect, track, and counter unmanned aerial threats. Founded in 2022, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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