NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Work with architects, designers, and software engineers to accomplish your tasks What we need to ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Work with architects, designers, and software engineers to accomplish your tasks What we need to ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Work with architects, designers, and software engineers to accomplish your tasks What we need to ...
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than ... Work with architects, designers, and software engineers to accomplish your tasks What we need to ...
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Computer Engineer information
See Austin, TX salary details
$48.1K - $56.1K
0% of jobs
$56.1K - $64.1K
0% of jobs
$64.1K - $72.1K
7% of jobs
$72.1K - $80.2K
0% of jobs
$80.2K - $88.2K
0% of jobs
$88.2K - $96.2K
1% of jobs
$96.2K - $104.2K
0% of jobs
$108.9K is the 25th percentile. Wages below this are outliers.
$104.2K - $112.2K
28% of jobs
$112.2K - $120.3K
1% of jobs
$120.3K - $128.3K
0% of jobs
The median wage is $129.8K / yr.
$128.3K - $136.3K
62% of jobs
$48.1K
$120.4K
$136.3K
How much do computer engineer jobs pay per year?
As of Jun 6, 2026, the average yearly pay for computer 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 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 a strong background in computer science, mathematics, and hardware/software design, typically supported by a bachelor’s degree in computer engineering or a related field. Familiarity with programming languages (such as C/C++ or Python), circuit design tools, and industry certifications like CompTIA or Cisco are highly valuable. Problem-solving, teamwork, and effective communication are essential soft skills that set top performers apart. These abilities ensure that computer engineers can design, implement, and optimize systems that meet technical requirements and business goals.
What is the difference between Computer Engineer vs Software Developer?
| Aspect | Computer Engineer | Software Developer |
|---|---|---|
| Required Credentials | Bachelor's in Computer Engineering or related field; certifications like Cisco, CompTIA | Bachelor's in Computer Science or Software Engineering; certifications like Microsoft, AWS |
| Work Environment | Designing hardware, embedded systems, and software integration in labs or offices | Writing, testing, and maintaining software applications in offices or remote setups |
| Employer & Industry Usage | Tech companies, manufacturing, telecommunications, embedded systems | IT firms, software companies, startups, enterprise software development |
Computer Engineers focus on both hardware and software systems, often working on embedded systems and hardware integration. Software Developers primarily create and maintain software applications. While their roles overlap in programming, Computer Engineers have a broader scope including hardware design, whereas Software Developers specialize in software solutions.
What Is a Computer Engineer?
A computer engineer designs, researches, tests, and develops computer equipment and software such as circuit boards, chips, routers, and application programs. Computer engineers analyze complex equipment and systems to understand the best way to improve it. They create new types of information technology devices and use logic and reasoning to hone in on goals, test assumptions, and identify the strengths and weaknesses of alternative solutions to problems. Engineers often work in teams and have to be able to communicate with other types of engineers, including non-technical team members. Computer engineers make sure that components fit together properly and function according to the latest software developments.
What are computer engineers?
Computer engineers are professionals who design, develop, test, and maintain computer hardware and software systems. They work at the intersection of electrical engineering and computer science, focusing on how computer systems function and how they can be improved. Their roles can involve creating microprocessors, designing circuit boards, developing embedded systems, and optimizing software for hardware performance. Computer engineers play a crucial role in advancing technology across industries, from consumer electronics to aerospace and healthcare.
What are common challenges computer engineers face when working on cross-functional teams?
Computer engineers often collaborate with software developers, hardware designers, and project managers, which can present challenges in aligning technical requirements and communication styles. Ensuring that everyone has a clear understanding of system limitations and integration points is crucial, as miscommunication can lead to project delays or rework. Staying adaptable and proactively clarifying expectations helps computer engineers navigate these collaborative environments successfully.
More about Computer Engineer jobs
What are the most commonly searched types of Computer Engineer jobs in Austin, TX? The most popular types of Computer Engineer jobs in Austin, TX are:
What are popular job titles related to Computer Engineer jobs in Austin, TX? For Computer Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Computer Engineer jobs in Austin, TX look for? The top searched job categories for Computer Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Computer Engineer jobs? Cities near Austin, TX with the most Computer Engineer job openings:
Full-time
Posted 15 days ago
Job description
Join the NVIDIA System-On-Chip (SOC) group as an ASIC Design Engineer and make a broad impact. You will focus on improving methodologies and delivering system-level IP to measure performance across multiple projects!
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!
What you'll be doing:
What we need to see:
Ways to stand out from the crowd:
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant people in the world working for us and, due to unprecedented growth, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 24, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!
What you'll be doing:
- Be an integral part of the team defining, developing, and delivering system-level methodologies and RTL to measure performance on the industry's leading GPUs and SOCs
- Define, develop, and automate flows and methodologies to efficiently build, deliver, and support a system-level IP
- Deliver IP and support projects by applying the performance monitoring system
- Run and debug RTL checks to ensure design quality (e.g., cross clock domains (CDC), clocks, reset, latency, and more)
- Design and implement RTL features (microarchitecture and RTL)
- Work with architects, designers, and software engineers to accomplish your tasks
What we need to see:
- BS or equivalent experience in Electrical Engineering, Computer Engineer, or related degree required, advanced degrees (MS, PhD) a plus
- 3+ years of relevant industry experience and strong coding skills in Perl/Python or other industry-standard scripting languages
- Experience in RTL design (Verilog), verification (SystemVerilog), System-On-Chip design/implementation flow, and design automation
- Good understanding of SOC architecture, including CDC, multiple-power domains, performance analysis, latency, and data flow
- Excellent debugging and analytical skills
- Exposure to design and verification tools (dc_shell or equivalent synthesis tools, VCS or equivalent simulation tools, debug tools like Debussy, GDB)
- Great communication and collaboration skills to interact within the team and with cross-functional teams
Ways to stand out from the crowd:
- Hands on experience in object-oriented programming
- Prior design on system level IP (Clocks/DFT/Resets)
- Experience developing methodologies used by others
- Hands- on silicon debug is a plus.
- Exposure to physical design
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most brilliant people in the world working for us and, due to unprecedented growth, our teams are rapidly growing. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology? If so, we want to hear from you.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 218,500 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 24, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
About Nvidia
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1993