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Firmware Engineer Intern Jobs in Texas (NOW HIRING)

Showing results 21-25

Firmware Engineer Intern information

See Texas salary details

$69.9K

$156K

$191K

How much do firmware engineer intern jobs pay per year?

As of Aug 9, 2026, the average yearly pay for firmware engineer intern in Texas is $155,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,200.00 and $191,000.00 per year, depending on experience, location, and employer.

What types of projects do firmware engineer interns typically work on during their internship?

Firmware Engineer Interns usually assist with designing, coding, and testing embedded software that runs on microcontrollers or electronic devices. Projects may include developing new features for existing products, troubleshooting and debugging firmware issues, and working closely with hardware engineers to ensure software-hardware integration. Interns often participate in code reviews, documentation, and sometimes collaborate on prototyping or product validation. This hands-on experience provides valuable exposure to the firmware development lifecycle and helps interns build practical skills for a future engineering career.

What are the key skills and qualifications needed to thrive as a firmware engineer intern?

To thrive as a Firmware Engineer Intern, you should possess a solid understanding of embedded systems, proficiency in programming languages like C/C++, and be pursuing a degree in electrical engineering, computer engineering, or a related field. Familiarity with version control systems (like Git), microcontrollers (such as ARM), and hardware debugging tools is commonly expected. Strong analytical thinking, attention to detail, and effective communication skills are important soft skills for collaborating with cross-functional teams. These abilities are crucial for successfully developing reliable firmware and contributing to collaborative engineering projects.

What is a firmware engineer intern?

A Firmware Engineer Intern assists in designing, developing, and testing low-level software that controls hardware devices. They work with embedded systems, write code in languages like C or C++, and debug firmware issues. Interns collaborate with engineers to optimize performance, ensure reliability, and support hardware integration. This role provides hands-on experience with development tools, testing equipment, and real-world engineering challenges.

What are the most commonly searched types of Firmware Engineer jobs in Texas? The most popular types of Firmware Engineer jobs in Texas are:
What cities in Texas are hiring for Firmware Engineer Intern jobs? Cities in Texas with the most Firmware Engineer Intern job openings:
Infographic showing various Firmware Engineer Intern job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $155,994 per year, or $75 per hour.

Software Intern - AI Compilers

Tenstorrent University Jobs

Austin, TX • On-site

$50 - $70/hr

Internship

Re-posted 22 days ago


Job description

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
At Tenstorrent, you will have the chance to accelerate your career by working on challenging engineering problems with a dedicated mentor and the opportunity to move between the digital design, verification, firmware, software and system engineering teams.
This role is hybrid based in Austin, TX
Responsibilities:
  • Develop machine learning graph compiler
  • Participate in the co-design of Tenstorrent's hardware and software stack
  • Benchmark, analyze, and optimize performance of key machine learning applications across Tenstorrent's hardware and software stack
  • Develop performance analysis and estimation infrastructure that feeds into Tenstorrent compiler
  • Develop high-performance run-time engine
  • Integrate the Tenstorrent software into leading machine learning frameworks
  • Work closely with machine learning engineers to discover the hardware and software requirements of current and future machine learning applications
  • Develop novel ML models and primitives that take advantage of Tenstorrent's breakthrough architecture to deliver orders of magnitude performance & efficiency improvements

Experience & Qualifications:
  • Final year BS/MS or PhD candidate in EE/ECE/CE/CS with a strong GPA
  • Experience with algorithms, data structures, and software development in C/C++. Python expertise is welcome as well
  • Familiarity with and passion for any of the following -- machine learning, compilers, parallel programming, high-performance and massively parallel systems, processor and computer architecture -- is a plus
  • Strong problem solving and analytical skills

Compensation for all interns at Tenstorrent ranges from $50/hr - $70/hr including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.