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Computer Engineering Jobs in Austin, TX (NOW HIRING)

DevOps Engineer

Austin, TX · On-site

$52.25 - $71.50/hr

... Engineering, Computer Science, Computer Engineering, or related field and 4+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience. • Master ...

Director, SoC Design Engineering

Austin, TX

$134K - $164K/yr

Minimum Qualifications - Bachelor's or BS degree in Electrical Engineering, Computer Engineering, or a related field, with 12+ years of relevant experience; -5+ years of people management experience ...

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Computer Engineering information

See Austin, TX salary details

$48.1K

$120.4K

$136.3K

How much do computer engineering jobs pay per year?

As of Jul 10, 2026, the average yearly pay for computer engineering 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 are the key skills and qualifications needed to thrive as a Computer Engineer, and why are they important?

To thrive as a Computer Engineer, you need strong analytical skills, proficiency in computer architecture, hardware and software design, and at least a bachelor's degree in computer engineering or a related field. Familiarity with programming languages (such as C/C++ or Python), hardware description languages (like VHDL or Verilog), and tools like MATLAB or CAD software is common, and certifications like Cisco or CompTIA can be beneficial. Problem-solving abilities, teamwork, and effective communication are vital soft skills for collaborating on complex projects and troubleshooting technical issues. These skills and qualifications are essential for designing innovative computing solutions, ensuring reliable system performance, and succeeding in multidisciplinary engineering environments.

What is computer engineering?

Computer engineering is a field that combines principles of electrical engineering and computer science to design, develop, and maintain computer systems and hardware. Computer engineers work on both the hardware (such as processors, circuit boards, and memory devices) and the software that runs on these systems. Their work enables the creation of everything from smartphones and laptops to complex embedded systems in cars and medical devices. Computer engineering can also involve research, innovation, and improving the efficiency and performance of computers and related technologies.

What is the difference between Computer Engineering vs Computer Science?

AspectComputer EngineeringComputer Science
Required CredentialsBachelor's in Computer Engineering or related fieldBachelor's in Computer Science or related field
Work EnvironmentHardware and software development, embedded systems, device designSoftware development, algorithms, data structures, theoretical computing
Employer & Industry UsageTech companies, hardware firms, embedded systems companiesSoftware firms, research institutions, tech startups
Common Search & ComparisonYesYes

Computer Engineering focuses on designing and developing hardware and embedded systems, combining electrical engineering and computer science principles. Computer Science emphasizes software development, algorithms, and theoretical aspects of computing. While both fields overlap, Computer Engineering leans more toward hardware integration, whereas Computer Science centers on software and programming.

How do computer engineers typically collaborate with other departments in a tech company?

Computer engineers often work closely with software developers, hardware designers, and product managers to bring complex systems to life. Collaboration usually involves regular meetings to align on project goals, troubleshooting cross-disciplinary issues, and integrating hardware and software components. Effective communication and teamwork are essential, as computer engineers must translate technical requirements and constraints between teams to ensure a smooth development process. This collaborative environment helps broaden your skill set and exposes you to various aspects of product development.
What are the most commonly searched types of Computer Engineering jobs in Austin, TX? The most popular types of Computer Engineering jobs in Austin, TX are:
What cities near Austin, TX are hiring for Computer Engineering jobs? Cities near Austin, TX with the most Computer Engineering job openings:
Infographic showing various Computer Engineering job openings in Austin, TX as of July 2026, with employment types broken down into 81% Full Time, 13% Part Time, and 6% Contract. Highlights an 81% In-person, and 19% Remote job distribution, with an average salary of $120,447 per year, or $57.9 per hour.

Computer Vision & Machine Learning, Staff

Allen Control Systems

Austin, TX

Other

Medical, Dental, Vision, PTO

Re-posted 25 days ago


Job description

Staff Computer Vision & Machine Learning for Autonomous Anti-Drone Systems

Company Overview:

Allen Control Systems (ACS) is a cutting-edge defense startup, founded by two former Navy electrical engineers with a proven track record in robotics and software. We are developing a small, autonomous gun turret that employs advanced computer vision and control systems to precisely target and neutralize small drones and loitering munitions. Our innovative approach requires overcoming significant technical challenges, making this an exciting and dynamic environment for experienced engineers.

With an engineering-first culture, ACS values technical excellence and innovation. Backed by our founders' successful exits from two previous venture acquired for a combined $180M in 2022, we are committed to ensuring that the groundbreaking technologies we develop will have a real-world impact. 

What You'll Do:

  • Lead the 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.
  • Mentor junior engineers and contribute to the overall growth of the machine learning and computer vision expertise within the company.
  • 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.

What You'll Need:

  • Deep passion for machine learning, computer vision, and robotics, and have been exploring these areas since early in your career.
  • At least a Master's degree in Computer Science, Electrical Engineering, or a related field, with a strong focus on machine learning and computer vision.
  • 9+ 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 mentoring and collaborating with other engineers to solve complex technical challenges.

What We Offer:

  • Competitive salary
  • ACS Equity Package
  • Health, Dental, Vision Insurance
  • Paid Time Off

Allen Control Systems is an Equal Opportunity Employer, providing equal employment opportunities to all employees and applicants for employment. Allen Control Systems prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.