OR · On-site
$122K - $161K/yr
Develop code for multiple operating systems What we need to see: * BS or MS degree in Computer ... Background with operating system interfaces for threads, process control, and virtual memory
Senior System Firmware Engineer - BIOS UEFI
Hillsboro, OR · On-site
$130K - $172K/yr
... computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ... Solid understanding of low-level interfaces between BIOS (UEFI) and OS like I2C/SPI/PCIe/JTAG etc.
Senior System Firmware Engineer - BIOS UEFI
Hillsboro, OR · On-site
$130K - $172K/yr
... computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited ... Solid understanding of low-level interfaces between BIOS (UEFI) and OS like I2C/SPI/PCIe/JTAG etc.
Senior AI Software Architect - Runtime
$141K - $191K/yr
... by the brain's extraordinary efficiency, scalability, and adaptability. Our Loihi series of ... BSc, MSc, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a ...
Senior AI Software Architect - Runtime
$141K - $191K/yr
... by the brain's extraordinary efficiency, scalability, and adaptability. Our Loihi series of ... BSc, MSc, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a ...
Senior AI Software Architect - Runtime
Hillsboro, OR · On-site
$141K - $191K/yr
... by the brain's extraordinary efficiency, scalability, and adaptability. Our Loihi series of ... BSc, MSc, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a ...
Senior AI Software Architect - Runtime
Hillsboro, OR · On-site
$141K - $191K/yr
... by the brain's extraordinary efficiency, scalability, and adaptability. Our Loihi series of ... BSc, MSc, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or a ...
Brain Computer Interface information
What is a Brain Computer Interface job?
A Brain-Computer Interface (BCI) job involves developing systems that enable direct communication between the brain and external devices. Professionals in this field work on hardware and software to interpret neural signals, often for medical, assistive, or neurotechnology applications. Roles can include research, software engineering, signal processing, and machine learning to improve BCIs' accuracy and functionality. These jobs are common in healthcare, neuroscience, gaming, and AI-driven human augmentation industries.
What are some common challenges faced by professionals working in Brain Computer Interface roles?
Professionals in Brain Computer Interface roles often face challenges related to accurately interpreting complex neural signals, minimizing noise in data, and ensuring that BCI systems are intuitive for end-users. They frequently collaborate with neuroscientists, engineers, software developers, and clinicians to overcome technical and usability barriers. Balancing research innovation with real-world applicability can be demanding, and staying current with rapidly advancing technology is essential. These challenges make the field dynamic and rewarding for those passionate about shaping the future of human-computer interaction.
What are the key skills and qualifications needed to thrive in the Brain Computer Interface position, and why are they important?
To thrive in a Brain Computer Interface role, you typically need a strong background in neuroscience, biomedical engineering, or computer science, coupled with experience in signal processing and neural data analysis. Familiarity with tools such as MATLAB, Python, EEG/MEG systems, and relevant certifications in neurotechnology are highly valuable. Strong problem-solving abilities, collaboration, and effective communication skills are essential for working on multidisciplinary teams and translating research into practical applications. These skills ensure that you can design, develop, and refine advanced BCI systems that meet both technical and user needs in this rapidly evolving field.
What are the most commonly searched types of Brain Computer Interface jobs in Oregon? The most popular types of Brain Computer Interface jobs in Oregon are:
What are popular job titles related to Brain Computer Interface jobs in Oregon? For Brain Computer Interface jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Brain Computer Interface jobs in Oregon look for? The top searched job categories for Brain Computer Interface jobs in Oregon are:
- Qualitative Research Phd Intern
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What cities in Oregon are hiring for Brain Computer Interface jobs? Cities in Oregon with the most Brain Computer Interface job openings:
$122K - $161K/yr
Full-time
Posted 25 days ago
Nvidia rating
9.3
Based on 5 frontline employees who took The Breakroom Quiz
15th of 209 rated software companies
Job description
NVIDIA's invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. We're looking to grow our company, and form teams with the smartest people in the world. Join us at the forefront of technological advancement.
Are you a motivated system software engineer with a deep understanding of device driver who has phenomenal C/C++ skills? If so, this role might be for you. We are looking for a seasoned software professional to work on the CUDA Driver, a core component of our platform for accelerating general purpose computation on the GPU. You will be an integral part of a team that delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, data science and self-driving cars to video games and virtual reality.
What you'll be doing:
As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world. You will craft elegant solutions to exciting problems and shape the future direction of CUDA as you collaborate with your peers across NVIDIA.
Evangelize, architect, and implement new features
Coordinate and drive development efforts across multiple teams
Help define forward-looking improvements to the CUDA APIs and programming model
Write effective, maintainable, and well-tested code
Develop code for multiple operating systems
What we need to see:
BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)
Strong C and C++ programming skills
Minimum of 7 years of related development experience (multiple positions for varying experience levels open)
Experience driving projects across multiple teams
Experience working with large codebases
Background with operating system interfaces for threads, process control, and virtual memory
Experience writing and debugging multithreaded programs
Good written communication as well as presentation skills
Ways to stand out from the crowd:
Prior experience with parallel computing
Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
Knowledge of memory coherence and consistency models
Background with kernel mode development
Experience with Linux, or Windows Systems Software development
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