Developer Technology Engineer – AI

Posted 4 Days Ago
Be an Early Applicant
3 Locations
In-Office
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and optimize parallel algorithms and data structures for GPU-accelerated applications. Partner with application developers and NVIDIA architecture, research, libraries, tools, and system software teams to influence future hardware and software platforms. The role requires strong programming, algorithms, mathematical, and parallel-computing expertise, with occasional travel for conferences and developer visits.
Summary Generated by Built In

NVIDIA has been redefining 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. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

What You'll Be Doing:

  • Working directly with key application developers to understand the current and future problems they are solving, crafting and optimizing core parallel algorithms and data structures to provide the best solutions using GPUs, through both reference code development and direct contribution to the applications.

  • Collaborating closely with diverse groups at NVIDIA such as the architecture, research, libraries, tools, and system software teams to influence the design of next-generation architectures, software platforms, and programming models, by investigating the impact on application performance and developer efficiency.

  • Need to travel from time to time for conferences and for on-site visits with developers.

What We Need To See:

  • A BS, MS, or PhD degree from a leading university in an engineering or computer science related field (or equivalent experience).

  • 3 years work experience; while not a requirement, domain expertise in telecommunications, medical imaging, machine learning, deep learning, HPC, or natural sciences is helpful.

  • Programming proficiency in C/C++ and/or Python with a deep understanding of software design, programming techniques, and algorithms.

  • Strong mathematical fundamentals, including linear algebra and numerical methods.

  • Experience with parallel programming, ideally CUDA C/C or OpenACC.

  • Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family by visiting http://www.nvidiabenefits.com

NVIDIA is committed to fostering a diverse 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. 

Skills Required

  • Bachelor’s, master’s, or doctoral degree in engineering, computer science, or a related field, or equivalent experience
  • At least 3 years of work experience
  • Programming proficiency in C, C++, and/or Python
  • Deep understanding of software design, programming techniques, and algorithms
  • Strong mathematical fundamentals, including linear algebra and numerical methods
  • Experience with parallel programming, ideally CUDA C/C++ or OpenACC
  • Strong communication and organizational skills
  • Logical problem-solving approach, time management, and task prioritization skills
  • Domain expertise in telecommunications, medical imaging, machine learning, deep learning, high-performance computing, or natural sciences

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility — Company stock and RSUs have driven exceptional total compensation, with a generous employee stock purchase plan and ongoing equity refreshers playing a central role. Feedback suggests historic share-price gains created significant financial upside for many.
  • Healthcare Strength — Multiple plan options (HSA, PPO, and in some locations Kaiser) with in-network preventive care covered at 100% and company HSA contributions indicate a robust offering. Mental-health sessions and broad dental, vision, and disability coverage further strengthen the package.
  • Parental & Family Support — Up to 22 weeks of fully paid parental leave, adoption and surrogacy reimbursement, and coverage for IVF and egg freezing are highlighted as standout features. Additional family-care resources and caregiving support broaden the appeal.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

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. Today, NVIDIA is increasingly known as “the AI computing company.”

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