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Computer Science Environmental Jobs in Austin, TX

Tetra Tech

Environmental Scientist / Geologist

Austin, TX · Hybrid

$74K - $97K/yr

Why Tetra Tech: At Tetra Tech, we are Leading with Science to solve the world's most complex ... Office work will include extended periods sitting or standing at a desk and using a computer and ...

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Computer Science Environmental information

See Austin, TX salary details

$40.6K

$83.4K

$121.9K

How much do computer science environmental jobs pay per year?

As of Jun 21, 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.

How is computer science related to environmental science?

Computer science environmental roles involve developing algorithms, data analysis, and modeling tools to monitor and address environmental issues such as climate change, pollution, and resource management. Skills in programming, data visualization, and environmental data analysis are essential for these positions.

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, project management skills, and often advanced degrees or certifications in environmental policy or management.

Is computer science dead due to AI?

Computer science remains a vital field for roles such as software developers, data scientists, and AI specialists. AI advances create new opportunities for innovation, requiring skills in programming, algorithms, and machine learning tools, ensuring ongoing demand for computer science expertise.

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 5 careers in environmental science?

Environmental science offers careers such as environmental scientist, conservation scientist, environmental engineer, wildlife biologist, and environmental policy analyst. These roles often require knowledge of ecology, data analysis, and environmental regulations, and may involve fieldwork, research, or policy development.
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 June 2026, with employment types broken down into 82% Full Time, 14% Part Time, 2% Contract, and 2% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% 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 21 days ago

Job description

Job Summary:
Allen Control Systems (ACS) is a cutting-edge defense startup focused on developing autonomous systems. The Computer Vision & Machine Learning Engineer will work on developing and optimizing algorithms for drone detection and tracking, collaborating with engineers to integrate these systems into hardware.
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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