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Remote Embedded Software Intern Jobs in Livermore, CA

... software to accelerate multimodal generative AI at scale-delivering safe, sustainable, cutting-edge ... Headquartered in Sunnyvale, CA, and Munich, Germany, with remote team members across North America ...

Rust Engineer

Mountain View, CA · On-site +1

$175K - $362K/yr

Work across hardware, architecture and software teams to turn specifications into concrete ... This is a remote (with travel) or hybrid role based in Mountain View Bonus Points If You Have

Remote (Bay Area, CA; Austin, TX; Phoenix, AZ; Oregon) Compensation: $110,000 - $130,000 before ... Automation software companies, life sciences genetics/genomic equipment OEM's, advanced optical ...

GNC Engineer

Mountain View, CA · On-site +1

$124K - $189K/yr

Support software- and hardware-in-the-loop test planning, execution, and validation Qualifications ... remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is ...

Remote (Bay Area, CA; Austin, TX; Phoenix, AZ; Oregon) Compensation: $110,000 - $130,000 before ... Advantech offers comprehensive system integration, hardware, software, customer-centric design ...

Senior GNC Engineer

San Jose, CA · On-site +1

$138K - $208K/yr

Support software- and hardware-in-the-loop test planning, execution, and validation Qualifications ... remote sensing performance. Our state-of-the-art facility in the heart of Silicon Valley is ...

As pioneers in the field of embedded finance, we're tapping into a market opportunity that's worth ... This role can be performed remote within the United States or from our Oakland, CA or New York City ...

Showing results 41-58

Remote Embedded Software Intern information

See Livermore, CA salary details

$15

$29

$45

How much do remote embedded software intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for remote embedded software intern in Livermore, CA is $29.81, according to ZipRecruiter salary data. Most workers in this role earn between $24.23 and $33.85 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote embedded software intern?

To thrive as a Remote Embedded Software Intern, you generally need a solid understanding of computer science fundamentals, C/C++ programming, and familiarity with microcontroller architectures, often supported by ongoing or completed coursework in electrical engineering or computer engineering. Experience with development tools such as integrated development environments (IDEs), version control systems like Git, and debugging hardware or simulators is typically required. Strong problem-solving skills, self-motivation, and effective communication are crucial soft skills for remote collaboration and learning. These skills and qualities are important because they enable interns to contribute meaningfully to real-world embedded systems projects while adapting to remote teamwork and project demands.

What are some common challenges faced by remote embedded software interns, and how can they be managed effectively?

Remote Embedded Software Interns often encounter challenges such as limited access to physical hardware for testing, coordinating with geographically dispersed teams, and troubleshooting issues without in-person support. To address these challenges, interns should proactively communicate with their mentors, make use of simulation tools, and participate in regular virtual meetings to stay aligned with project goals. Establishing a strong routine for documenting progress and asking for feedback can also help interns stay engaged and overcome obstacles effectively.

What is a remote embedded software intern?

A Remote Embedded Software Intern is a student or recent graduate who works remotely to assist in the development and testing of software that runs on embedded systems, such as microcontrollers or IoT devices. Their tasks often include writing code in languages like C or C++, debugging hardware-software interactions, and collaborating with engineering teams through virtual platforms. The position provides hands-on experience in embedded systems while allowing interns to work from anywhere, making it ideal for gaining industry experience without the need to relocate.
What are the most commonly searched types of Remote Embedded Software jobs in Livermore, CA? The most popular types of Remote Embedded Software jobs in Livermore, CA are:
What are popular job titles related to Remote Embedded Software Intern jobs in Livermore, CA? For Remote Embedded Software Intern jobs in Livermore, CA, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Software Intern jobs in Livermore, CA look for? The top searched job categories for Remote Embedded Software Intern jobs in Livermore, CA are:
What cities near Livermore, CA are hiring for Remote Embedded Software Intern jobs? Cities near Livermore, CA with the most Remote Embedded Software Intern job openings:
Infographic showing various Remote Embedded Software Intern job openings in Livermore, CA as of August 2026, with employment types broken down into 19% Internship, 66% Full Time, 10% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $62,012 per year, or $29.8 per hour.

Principal ASIC Architect

Tensordyne

Sunnyvale, CA • On-site, Remote

Full-time

Re-posted 10 days ago


Job description

About our company - Tensordyne (formerly Recogni)

AI is reshaping our world, performing cognitive tasks once unique to humans-perceiving across modalities, learning quickly, and solving complex problems. Tensordyne builds high-performance, low-power generative AI inference systems. We're leveraging novel techniques from the latest AI research to build custom silicon, hardware, and software to accelerate multimodal generative AI at scale-delivering safe, sustainable, cutting-edge solutions for hyperscaler and neocloud data centers. Headquartered in Sunnyvale, CA, and Munich, Germany, with remote team members across North America and Europe, Tensordyne is a well-funded, fast-moving startup. We support our people with competitive pay, comprehensive benefits, flexibility, and recognition programs-because breakthrough technology starts with a healthy, empowered team. Come join us, as we shape the future of AI together!

The Opportunity:

In this role, you will lead all phases of ASIC architecture definition and design of Tensordyne's next-generation family of processors for generative AI inference acceleration. This is an exciting opportunity that involves high-level silicon architecture planning, hands-on design, prototyping of ASIC design concepts, mentoring, and technical leadership to deliver the high-performance multi-chip silicon solutions that are at the heart of Tensordyne's vertically integrated, generative AI inference acceleration systems for data centers.

  • What You'll Do:
  • Lead the architectural planning and definition of new Tensordyne AI processors, that consist of highly specialized floating point AI compute cores, embedded memory, embedded RISC-V CPU cores, and high speed serial communications with chip-to-chip networking fabric, HBM, and PCIe connectivity.
  • Analyze technical needs, propose chip design solutions, create detailed design specifications, lead architectural modeling and establish ASIC development milestones to ensure that the final product meets requirements related to functionality, inference performance, inference accuracy, power efficiency, programmability, debuggability and manufacturability.
  • Work closely with external engineering partners, ASIC design engineers, ASIC design verification teams, SOC physical design teams, interdisciplinary software teams, product management and executives, providing technical guidance, overseeing design reviews and mentoring where applicable.
  • Lead the evaluation of new silicon IP technologies, EDA tools and methodologies to enhance the product and improve the efficiency of our chip design process.

What You'll Bring:

  • 15+ years of hands-on experience and deep expertise in silicon design engineering and architectural planning of high performance compute (HPC) processors like GPUs, CPUs, TPUs etc., as well as HBM and high speed SerDes networking technologies for AI workloads.
  • Strong understanding of generative AI algorithms, attention mechanisms, foundation transformer models, and mapping these functions to hardware.
  • Strong Verilog programming skills, and experience with RTL verification, and performance modeling. Experience with performance analysis, debugging, and optimization is also required.
  • Track record of developing architectural C-models, SystemC, or TLM. Expert-level skills in C/C++, and scripting languages like Python or Perl for automation and modeling.
  • An MS or PhD in Electrical Engineering, Computer Engineering or related engineering discipline.

For this role, occasional travel is needed to interact with global engineering partners.

Tensordyne's culture was built on the following values:

  • Put people first. We only succeed when our people succeed.
  • Ethics and integrity always; Being open, honest, and respectful of everyone.
  • Think Big. Be ambitious and have audacious goals.
  • Aim for excellence. Quality and excellence count in everything we do.
  • Own it and get it done. Results matter!
  • Make each person better together, than they would be as an individual.
  • Embrace each others' differences, and embrace that there will be differences.

Tensordyne is an equal opportunity employer. We believe that a diverse team is better at tackling complex problems and coming up with innovative solutions. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

A note to Recruitment Agencies: Please don't reach out to Tensordyne employees or leaders about our roles -- we've got it covered. We don't accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes. Thank you for your understanding.