... Android), a multitude of hardware platforms both NVIDIA GPUs and Tegra Processors. Are you ... Work closely with world-class engineers, architects, technical product managers and application ...
... Android), a multitude of hardware platforms both NVIDIA GPUs and Tegra Processors. Are you ... Work closely with world-class engineers, architects, technical product managers and application ...
GPU Software Program Manager
Austin, TX · On-site
$180K - $297K/yr
Partner with hardware, validation, platform engineering, global teams, and Android ecosystem ... embedded software * Strong understanding of software development lifecycles: architecture ...
GPU Software Program Manager
Austin, TX · On-site
$180K - $297K/yr
Partner with hardware, validation, platform engineering, global teams, and Android ecosystem ... embedded software * Strong understanding of software development lifecycles: architecture ...
Lead Sensor Architect, Client Platforms
Austin, TX · On-site
$178K/yr
... Engineering, Computer Science, Physics, or a related discipline required. Master's degree or Ph.D. in a relevant field (e.g., sensor systems, signal processing, embedded systems) is preferred.
Lead Sensor Architect, Client Platforms
Austin, TX · On-site
$178K/yr
... Engineering, Computer Science, Physics, or a related discipline required. Master's degree or Ph.D. in a relevant field (e.g., sensor systems, signal processing, embedded systems) is preferred.
Lead Sensor Architect, Client Platforms
Austin, TX · On-site
$54.75 - $75/hr
... Engineering, Computer Science, Physics, or a related discipline required. Master's degree or Ph.D. in a relevant field (e.g., sensor systems, signal processing, embedded systems) is preferred.
Lead Sensor Architect, Client Platforms
Austin, TX · On-site
$54.75 - $75/hr
... Engineering, Computer Science, Physics, or a related discipline required. Master's degree or Ph.D. in a relevant field (e.g., sensor systems, signal processing, embedded systems) is preferred.
Embedded Android Developer information
See Austin, TX salary details
$36.7K - $69.3K
6% of jobs
$98K is the 25th percentile. Wages below this are outliers.
$69.3K - $101.9K
21% of jobs
The median wage is $114.7K / yr.
$101.9K - $134.5K
57% of jobs
$134.5K - $167.2K
15% of jobs
$167.2K - $199.8K
0% of jobs
$199.8K - $232.4K
0% of jobs
$232.4K - $265K
0% of jobs
$265K - $297.6K
0% of jobs
$297.6K - $330.3K
0% of jobs
$330.3K - $362.9K
0% of jobs
$362.9K - $395.5K
0% of jobs
$36.7K
$128K
$395.5K
How much do embedded android developer jobs pay per year?
What are the key skills and qualifications needed to thrive as an embedded Android developer, and why are they important?
What are some common challenges faced by embedded Android developers when integrating Android with custom hardware?
What is the difference between Embedded Android Developer vs Mobile App Developer?
| Aspect | Embedded Android Developer | Mobile App Developer |
|---|---|---|
| Required Skills | Embedded systems, C/C++, Android NDK, hardware integration | Java/Kotlin, UI/UX design, app deployment |
| Work Environment | Embedded devices, IoT hardware, specialized hardware | Smartphones, tablets, app stores |
| Industry Usage | Consumer electronics, IoT, automotive | General 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?

Nvidia rating
9.6
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.
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.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