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60 Nvidia Algorithm Engineer Jobs Hiring Near You

Nvidia

OR · On-site

$122.40K - $161.30K/yr

... algorithms at the core of large-scale quantum simulation and quantum-HPC workflows. You will play a ... NVIDIA's cuQuantum group is a dynamic, high-impact team with strong visibility across the global ...

Nvidia

OR · Hybrid

$54.50 - $72/hr

NVIDIA is currently seeking a Senior Developer Technology Engineer for High-Performance Databases! Would you enjoyresearching new algorithms and memory management techniques to accelerate databases ...

Nvidia

Senior Developer Technology Engineer - AI

Durham, NC · Hybrid

$52.75 - $69.50/hr

Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer ... NVIDIA's success in the advancement and availability of Artificial Intelligence has created ...

Nvidia

OR · Hybrid

$54.50 - $72/hr

Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer ... NVIDIA's success in the advancement and availability of Artificial Intelligence has created ...

Nvidia

Senior Developer Technology Engineer - AI

Austin, TX · Hybrid

$54 - $71.25/hr

Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer ... NVIDIA's success in the advancement and availability of Artificial Intelligence has created ...

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Nvidia Jobs Information

What does an Algorithm Engineer do?

An Algorithm Engineer designs, develops, and optimizes algorithms to solve complex computational problems. They analyze data, improve system performance, and implement mathematical models for various applications, such as machine learning, computer vision, and optimization. This role requires proficiency in programming languages like Python or C++, strong mathematical skills, and an understanding of data structures and algorithms. Algorithm Engineers work closely with software developers, data scientists, and researchers to integrate efficient solutions into real-world systems.

What are the key skills and qualifications needed to thrive in the Algorithm Engineer position, and why are they important?

To thrive as an Algorithm Engineer, you need a strong background in mathematics, computer science, and programming, usually demonstrated with a degree in these fields and experience in algorithm design and analysis. Familiarity with languages like Python, C++, or Java, and tools such as MATLAB or TensorFlow, as well as relevant certifications like those in data science or machine learning, are typically advantageous. Outstanding problem-solving abilities, analytical thinking, and effective communication are critical soft skills for success in this role. These competencies are crucial because they enable Algorithm Engineers to design efficient, innovative solutions and collaborate seamlessly with multidisciplinary teams.

What are the typical challenges an Algorithm Engineer faces in their day-to-day work?

Algorithm Engineers often encounter complex problems that require creative, efficient solutions within strict performance or resource constraints. They may need to optimize existing algorithms, develop new ones from scratch, and ensure seamless integration into larger software systems, often while balancing accuracy, speed, and scalability. Collaborating with other engineers, data scientists, and product teams to align technical efforts with business goals is also a regular part of the job. Staying updated with the latest advancements in algorithms and technology is essential, making continuous learning a key aspect of the role.

What is it like to work at Nvidia?

Nvidia is known for its collaborative and innovative culture, prioritizing teamwork and creativity to drive technological advancements. The company's structure is organized into various teams, including research and development, engineering, and sales, with a focus on fostering open communication and knowledge sharing across departments. Working at Nvidia may appeal to candidates who are passionate about artificial intelligence, graphics, and high-performance computing, as the company offers opportunities to contribute to cutting-edge projects and collaborate with experts in the field.
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Infographic showing various Algorithm Engineer job openings at Nvidia in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 85% Physical, 13% Hybrid, and 2% Remote job distribution.
Senior Developer Technology Engineer, CPU Performance

Senior Developer Technology Engineer, CPU Performance

Nvidia

New York, NY • Hybrid

$153.20K/yr

Full-time

Posted 10 days ago

Job description

We are currently seeking a Senior Developer Technology Engineer, CPU Performance!

Would you enjoy researching new algorithms and discovering new techniques to optimize data intensive applications? Do you like investigating hardware and system bottlenecks, and optimizing the performance of critical applications on heterogeneous computing systems with CPUs and GPUs? Are you excited about the opportunity to work on the leading edge of technology with both visibility and impact to the success of a leader like NVIDIA? If so, the Developer Technology Team invites you to consider this opportunity.

What you will be doing:

  • In this role, you will research and develop techniques to accelerate large scale applications running on NVIDIA's family of advanced CPU platforms.

  • Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex database and data analytics workloads to ensure the best possible performance on modern hardware architecture focused on CPU performance.

  • Publish and present discovered optimization techniques in developer blogs or relevant conferences to engage and educate the Developer community.

  • Influence the design of next-generation hardware architectures, software, and programming models in collaboration with research, hardware, system software, libraries, and tools teams at NVIDIA

What we need to see:

  • Masters or PhD in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience).

  • At least 5+ years of relevant work or research experience.

  • Expert knowledge of modern CPU architectures (ARM, x86) and system/OS

  • In-depth expertise with CPU architecture fundamentals, especially memory subsystem (cache DRAM, storage.)

  • Hands-on experience with low-level parallel programming, vectorization, CPU intrinsics and concurrent data structures.

  • Programming fluency in modern C/C++ with a deep understanding of algorithms, concurrency, and other optimization techniques.

  • Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.

Ways to stand out from the crowd:

  • Experience optimizing the performance of distributed database systems and frameworks (e.g. production database or Spark).

  • Background with compression, storage systems, networking, and distributed computer architectures.

  • Knowledge of GPU architectures.

The DevTech Engineer plays a crucial role in the success of NVIDIA and our customers. DevTechs work with external technologists to investigate performance of their applications, design parallel algorithms and implement optimizations in an accelerated computing environment. As recognized experts in the field we publish our findings in developer blogs or at relevant conferences and workshops. With insight to our customers, the industry, and academia we are important representatives of NVIDIA as a technology leader. Within NVIDIA we contribute valuable application expertise that influences next generation hardware and software products. As critical problem solvers, we deepen our expertise, expand our knowledge, and work across domains and organizations. Whether you are a leading industry luminary or early in your career, the DevTech Team provides ample opportunity for growth in the exciting field of accelerated computing!

NVIDIA is widely considered to be one of technology's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Does contributing to and innovating in HPC, Accelerated Computing and Artificial Intelligence excite you? If so, we want to hear from you.

#LI-Hybrid

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 18, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.
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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

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