OPT Embedded Software Engineer Jobs
Embedded Software Engineer roles are among the most OPT-friendly positions in tech: the work is highly specialized, degree-specific, and employers routinely sponsor H-1B visas for engineers who prove their value during the OPT period. Most roles require a background in computer engineering, electrical engineering, or computer science.
See All OPT Embedded Software Engineer JobsOverview
Showing 5 of 546+ Embedded Software Engineer jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 546+ Embedded Software Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Embedded Software Engineer roles.
Get Access To All JobsDESCRIPTION
Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. Our Chassis Software team is looking for candidates interested in diving deep into the different hardware technologies that power our Machine Learning servers and develop the software and firmware to drive, support and sustain these technologies as they evolve though concept and manufacturing, and finally take their place in our rapidly expanding fleet of emerging Machine Learning products our customers demand.
Technologies useful to this role include operating systems, Linux architecture, embedded systems, and control systems. Our team uses C, C++, Lua, Bash, Python and other similar languages to develop device drivers, enable control systems which utilize sensor data, and develop automation software. Familiarity with Baseboard Management Controller (BMC) software and architecture is helpful but not required. Although we use machine learning workloads to validate systems software, this team is focused on codeveloping reliable server software and hardware for customers to deploy their ML workloads at scale.
Key job responsibilities
- Provide Baseboard Management Controller (BMC) and Satellite Management Controller (SMC) software and firmware for Machine Learning Accelerator (MLA) servers.
- Continuously collaborate with other server and board software teams responsible for accelerator management firmware and other programmable logic devices.
- Work within the larger MLA Systems Software group to support development of mission-mode firmware, exercisers for manufacturing and vetting, and automation for qualification and deployment.
- Engage in new product development by participating in early concept design reviews, schematic approvals, offsite board bringup and laboratory-based testing.
A day in the life
The MLA Chassis Software team builds on board firmware primarily for mission-mode control of sensors and other board-level hardware. This includes debug, testing, qualification, and manufacturing. We touch technologies from Linux kernel device drivers to the I2C infrastructure pervasive in the server and everything in between. We are not working on machine learning algorithms, but rather we work on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, I2C, SPI, PCIe, and device control are our bread and butter.
About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our engineers enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience in embedded development in C/C++
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually
DESCRIPTION
Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.
In Annapurna Labs we are at the forefront of hardware/software co-design not just in Amazon Web Services (AWS) but across the industry. Our Chassis Software team is looking for candidates interested in diving deep into the different hardware technologies that power our Machine Learning servers and develop the software and firmware to drive, support and sustain these technologies as they evolve though concept and manufacturing, and finally take their place in our rapidly expanding fleet of emerging Machine Learning products our customers demand.
Technologies useful to this role include operating systems, Linux architecture, embedded systems, and control systems. Our team uses C, C++, Lua, Bash, Python and other similar languages to develop device drivers, enable control systems which utilize sensor data, and develop automation software. Familiarity with Baseboard Management Controller (BMC) software and architecture is helpful but not required. Although we use machine learning workloads to validate systems software, this team is focused on codeveloping reliable server software and hardware for customers to deploy their ML workloads at scale.
Key job responsibilities
- Provide Baseboard Management Controller (BMC) and Satellite Management Controller (SMC) software and firmware for Machine Learning Accelerator (MLA) servers.
- Continuously collaborate with other server and board software teams responsible for accelerator management firmware and other programmable logic devices.
- Work within the larger MLA Systems Software group to support development of mission-mode firmware, exercisers for manufacturing and vetting, and automation for qualification and deployment.
- Engage in new product development by participating in early concept design reviews, schematic approvals, offsite board bringup and laboratory-based testing.
A day in the life
The MLA Chassis Software team builds on board firmware primarily for mission-mode control of sensors and other board-level hardware. This includes debug, testing, qualification, and manufacturing. We touch technologies from Linux kernel device drivers to the I2C infrastructure pervasive in the server and everything in between. We are not working on machine learning algorithms, but rather we work on the physical systems (hardware) which execute and accelerate those machine learning algorithms. Data paths, I2C, SPI, PCIe, and device control are our bread and butter.
About the team
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our engineers enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
About AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience in embedded development in C/C++
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually
See all 546+ OPT Embedded Software Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Embedded Software Engineer Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship as an Embedded Software Engineer
Target hardware-software companies, not pure software shops
Embedded roles exist at automotive, aerospace, medical device, and semiconductor companies. These industries have long product cycles and strong incentives to retain engineers long-term, making H-1B sponsorship a standard part of hiring, not an exception.
Highlight real-time operating systems experience prominently
Employers screening OPT candidates look for hands-on RTOS experience, FreeRTOS and VxWorks specifically. If your coursework or projects included bare-metal programming or interrupt handling, make that visible early in your resume and technical screen.
Show your OPT timeline and STEM extension eligibility upfront
Embedded engineering is a STEM-designated field, giving you up to 36 months of work authorization. Mentioning this proactively in recruiter conversations removes a common objection before it becomes a reason to screen you out.
Build a GitHub portfolio with hardware-interfacing projects
Hiring managers for embedded roles want proof you can write firmware, not just software. A repository showing peripheral drivers, communication protocol implementations, or an FPGA project signals genuine embedded experience and separates you from general software applicants.
Pursue roles at mid-size companies with established immigration programs
Large enterprises often have slow hiring pipelines that conflict with OPT deadlines. Mid-size companies with prior H-1B filings, which you can verify through public DOL disclosure data, tend to move faster and sponsor more consistently.
Address OPT authorization clearly on your resume
List your work authorization status as 'F-1 OPT, STEM Extension Eligible' rather than leaving it blank or vague. Embedded engineering recruiters who understand visa sponsorship will appreciate the clarity and waste less time on both sides.
Embedded Software Engineer OPT: Frequently Asked Questions
Do Embedded Software Engineer roles qualify for the STEM OPT extension?
Yes. Embedded Software Engineering consistently falls under STEM-designated degree categories including computer engineering, electrical engineering, and computer science. If your degree matches one of these fields, you're eligible for a 24-month STEM OPT extension on top of your initial 12-month OPT period, giving you up to 36 months of work authorization.
How do I find Embedded Software Engineer jobs that sponsor OPT students?
Migrate Mate is built specifically for F-1 OPT students and filters for roles where employers have a track record of visa sponsorship. Embedded engineering positions are well represented because the specialty occupation requirement is easy to satisfy, meaning employers face fewer hurdles sponsoring candidates in this field compared to more generalist roles.
Does Embedded Software Engineering qualify as a specialty occupation for H-1B sponsorship?
Yes. Embedded Software Engineering requires at least a bachelor's degree in computer engineering, electrical engineering, or a closely related field, which meets the USCIS definition of a specialty occupation. This makes H-1B sponsorship straightforward for most embedded roles. Employers in automotive, semiconductor, and defense sectors file H-1B petitions for embedded engineers at high rates relative to other engineering disciplines.
What should I do if my OPT expires before my employer files my H-1B?
If your STEM OPT extension is still active on April 1 when USCIS begins accepting H-1B petitions, you can use cap-gap protection to remain authorized through September 30 of that year if selected in the lottery. The critical step is ensuring your employer files your H-1B petition while your OPT EAD is still valid. Plan the timeline with your DSO well in advance.
Are there specific embedded engineering industries where OPT students have better sponsorship outcomes?
Automotive, medical devices, aerospace, and semiconductor companies tend to sponsor embedded engineers more reliably than startups or consumer electronics firms. These industries have long product development cycles, specialized hiring needs, and established immigration programs. Defense contractors are a notable exception as many require U.S. citizenship or permanent residency for security clearance reasons, which would limit your options on OPT.