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Applied Invention Jobs (NOW HIRING)

Rilla

Software Engineer, Applied AI

New York, NY · On-site

$200K - $300K/yr

The Role The Applied AI team at Rilla is redefining how humans interact with machines-using voice ... drive the invention of new techniques, tooling, and models. You'll work across the full AI ...

Uottawa

APTPUO-Winter 2027-EMP5111

Campus, IL · On-site

$239.47/hr

The invention/innovation process. Creative problem-solving techniques. Entrepreneurship ... These rates will be applied until a new collective agreement is ratified. Retro will be paid after ...

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Applied Invention information

What is the difference between Applied Invention vs Patent Examiner?

AspectApplied InventionPatent Examiner
Required CredentialsEngineering or technical degree, possibly with patent law knowledgeEngineering or technical degree, legal training often preferred
Work EnvironmentResearch labs, product development teamsPatent offices, government agencies
Industry UsageTechnology, manufacturing, R&D sectorsLegal and intellectual property sectors
Common Search/ComparisonApplied Invention vs Patent Examiner

Applied Invention professionals focus on developing and applying new technologies, often working in R&D environments. Patent Examiners review patent applications to determine patentability, working within government agencies. While both roles require technical backgrounds, Applied Invention roles emphasize innovation and product development, whereas Patent Examiners focus on legal and patent processes.

What is an applied invention?

An applied invention is a practical development or innovation that addresses real-world problems by applying scientific principles. It often involves designing new devices, processes, or systems and may require patenting, prototyping, and testing to bring it to market or use. Applied inventions are common in engineering, technology, and product development fields.

What job makes inventions?

Jobs that involve creating inventions include roles such as inventors, research and development engineers, and product designers. These professionals typically have strong skills in engineering, science, or design, and often work in labs or innovation centers to develop new products or technologies.

How much do applied invention software engineers make?

Applied Invention software engineers typically earn between $80,000 and $130,000 annually, depending on experience, location, and skill set. Salaries may also vary based on the complexity of projects and the company's size, with additional compensation often including benefits and stock options.

What jobs can you do with applied science?

Applied science careers include roles such as research scientist, engineer, quality control analyst, and product developer. These jobs often require strong problem-solving skills, technical knowledge, and proficiency with tools like laboratory equipment or computer-aided design software.
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Applied Invention jobs near you
Infographic showing various Applied Invention job openings in the United States as of June 2026, with employment types broken down into 79% Full Time, and 21% Part Time. Highlights an 91% Physical, 6% Hybrid, and 3% Remote job distribution.
Senior Applied AI and AI Infrastructure Engineer - Chip Design and DFX

Senior Applied AI and AI Infrastructure Engineer - Chip Design and DFX

Nvidia Corporation

Santa Clara, CA • On-site

$127K - $173K/yr

Full-time

Posted 17 days ago

Job description

NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a "learning machine" that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life's work, to amplify human creativity and intelligence. Make the choice to join us today.
Design-for-X Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions in AI for Chip Design and AI for Predictions in various use cases in manufacturing testing on some of the industry's most complex semiconductor chips.
What you'll be doing:
  • As a senior member in our team, you will work on Applied AI projects that requires ML & Gen AI expertise.
  • You will work on building and managing deployment cycles as part of the AI Infrastructure requirements at an org-wide level.
  • For setting up a robust AI infrastructure, you will be the liaison between on-prem infrastructure teams and SW dev teams, while monitoring performance, automating deployments and maintaining code pipelines.
  • You will work on hard-to-solve problems in the Design For Test space which will involve application of algorithm design, using statistical tools to analyze and interpret complex datasets and explorations using Applied AI methods.
  • In addition, you will help develop and deploy DFT methodologies for our next generation products using Gen AI solutions.
  • You will also help mentor junior engineers on test designs and trade-offs including cost and quality.

What we need to see:
  • BSEE (or equivalent experience) with 12+, MSEE with 10+, or PhD with 6+ years of experience in AI Infrastructure management, Applied Machine Learning and Gen AI.
  • Excellent knowledge in building agents and multi-agentic ecosystems
  • Experience with SQL, ETL, and data modeling
  • Hands-on experience with cloud platforms (AWS, Azure, GCP)
  • Architect and optimize multi-region, globally distributed systems to meet our high standards for availability, latency, and throughput
  • Lead data modeling, performance tuning, and capacity planning for large-scale mission-critical Gen AI workloads
  • Strong programming skills in Python, C++ expected
  • Outstanding written and oral communication skills with the curiosity to work on rare challenges.

Ways to stand out from the crowd:
  • Experience in Ai infrastructure management for real-world systems
  • Experience in application of AI for Chip Design problem-solving
  • Good understanding of technology and passionate about what you do
  • Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment

NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level 5, and 248,000 USD - 379,500 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 19, 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.
Nvidia logo

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

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