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Embedded Android Developer Jobs in Austin, TX (NOW HIRING)

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Embedded Android Developer information

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$36.7K

$128K

$395.5K

How much do embedded android developer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for embedded android developer in Austin, TX is $127,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,200.00 and $131,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an embedded Android developer, and why are they important?

To thrive as an Embedded Android Developer, you need strong programming skills in Java, C/C++, and a solid understanding of embedded systems and Android OS architecture, often supported by a degree in computer science or engineering. Familiarity with tools like Android Studio, AOSP, Git, and experience with hardware debugging or cross-compilation is typically required. Problem-solving, adaptability, and effective collaboration are critical soft skills for integrating software with hardware and working across multidisciplinary teams. These skills ensure the delivery of robust, efficient embedded Android solutions that meet both technical requirements and user needs.

What are some common challenges faced by embedded Android developers when integrating Android with custom hardware?

Embedded Android Developers often encounter challenges related to hardware compatibility, limited resources, and real-time performance constraints. Integrating Android with custom hardware may require writing device drivers, optimizing for low power consumption, and troubleshooting hardware-software interactions. Close collaboration with hardware engineers and thorough testing on target devices are essential to ensure a stable and efficient system. Additionally, keeping up with Android OS updates while maintaining hardware support can be a continuous challenge.

What is the difference between Embedded Android Developer vs Mobile App Developer?

AspectEmbedded Android DeveloperMobile App Developer
Required SkillsEmbedded systems, C/C++, Android NDK, hardware integrationJava/Kotlin, UI/UX design, app deployment
Work EnvironmentEmbedded devices, IoT hardware, specialized hardwareSmartphones, tablets, app stores
Industry UsageConsumer electronics, IoT, automotiveGeneral mobile applications, social media, gaming

Embedded Android Developers focus on integrating Android into hardware devices, requiring knowledge of embedded systems and hardware interfaces. Mobile App Developers create applications primarily for smartphones and tablets, emphasizing user interface and experience. While both roles involve Android development, their work environments and skill sets differ significantly.

What does an embedded Android developer do?

An Embedded Android Developer specializes in designing, developing, and maintaining Android-based software that runs on embedded systems, such as smart devices, IoT gadgets, automotive infotainment systems, and specialized hardware. Their work involves integrating the Android operating system with hardware components, optimizing performance, and ensuring reliable communication between the hardware and software layers. They often collaborate with hardware engineers and use low-level programming to customize Android for specific devices, ensuring that applications and system features function seamlessly in resource-constrained environments.
What are popular job titles related to Embedded Android Developer jobs in Austin, TX? For Embedded Android Developer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Embedded Android Developer jobs in Austin, TX look for? The top searched job categories for Embedded Android Developer jobs in Austin, TX are:
Infographic showing various Embedded Android Developer job openings in Austin, TX as of August 2026, with employment types broken down into 21% Full Time, 70% Part Time, and 9% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $127,958 per year, or $61.5 per hour.

Solutions Architect - Rack Scale AI Systems

Nvidia

Austin, TX

Full-time

Re-posted 14 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies


Job description

NVIDIA is looking for a Solutions Architect to work in IPP's (Infrastructure, Planning and Process) Cloud Infrastructure Team. IPP is a global organization within NVIDIA. This group works with various other groups within NVIDIA such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure needs. These cloud services provide almost half a million automated jobs per day on thousands of servers helping with the productivity of thousands of NVIDIA's software engineers worldwide. The cloud hosts a heterogeneous mix of machines and devices with various operating systems (Windows/Linux/Android), a multitude of hardware platforms both NVIDIA GPUs and Tegra Processors. Are you passionate about distributed infrastructure and looking for sophisticated, critical issues, ready to build the next generation of cloud services, design creative solutions, mine through data to uncover real problems and fix them?

What you'll be doing:

  • Work with NVIDIA Product Teams to understand new product roadmaps and requirements primarily Rack Scale AI Products.

  • Finding Optimum Solutions to deploy these products in a Datacenter or a Lab environment using sophisticated design techniques, services and tools.

  • Assist in roll-out and deployment of new development features aimed at supporting the latest NVIDIA hardware and technologies.

  • Work closely with world-class engineers, architects, technical product managers and application developers setting the best strategies in place for a product launch.

  • Defining and implementing full scale solutions for product onboarding into our hosted and private cloud environments.

  • Solve sophisticated problems involving multi-site deployments of NVIDIA products and directly contribute to the overall quality of deployments and improve time to market next gen products.

  • Collaborate with multi-functional teams, including system engineering, software engineering, mechanical/thermal engineering, operations, data center teams, external vendors, and other partners to successfully deliver a reliable and robust platform from concept to prototype to deployments.

  • Integrate and Optimize Cluster Deployment methods and manage SW stack deployments, including provisioning these services into the cloud.

What we need to see:

  • Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience.

  • 12+ years of relevant experience.

  • 6+ years of Linux and Scripting experience.

  • Solid background on OS Kernels and system engineering.

  • A track record of quickly understanding new technologies outside of your domain expertise and deploying systems in sophisticated configurations from hardware through multiple layers of software in a fast-paced environment.

  • Strong technical skills and understanding of embedded systems, orchestration & automation systems, data centers and cloud architecture, as well as excellent communication and planning skills.

  • Strong problem-solving ability and experience in product engineering/failure analysis and debug/ HW or test design.

  • Understanding of dense datacenter design including compute, Storage and networking.

Ways to stand out from the crowd:

  • Understanding of software engineering principles and enterprise system architecture.

  • Experience with gpu and compute clusters administration & automation.

  • Experience in large scale QA environments, for product bring ups.

  • Special skills in large-scale computing and cluster computing(MPI), data center design include high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. Widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and passionate about new technologies we want you on our team!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 333,500 USD for Level 5, and 256,000 USD - 414,000 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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