ZipRecruiter

Log In

1

Freelance High Performance Computing Engineer Jobs in New York

QUANTUM COMPUTING, INC.

RF Systems Engineer

Hoboken, NJ · Hybrid

$125K - $191K/yr

RF/Systems Engineer Location: Hoboken, NJ Division: Revenue Department: Defense About Us: Quantum ... high-performance computing, artificial intelligence, cyber security as well as remote sensing ...

Seven Research

Core Developer

New York, NY · On-site

$200K - $300K/yr

Your Role Core Developers are at the heart of our technological ecosystem, working to continuously ... Advanced knowledge of high-performance computing, distributed system design, and network ...

Seven Research

Core Developer

New York, NY · On-site

$200K - $300K/yr

Your Role Core Developers are at the heart of our technological ecosystem, working to continuously ... Advanced knowledge of high-performance computing, distributed system design, and network ...

YO AI Labs

CUDA Developer - Remote

New York, NY · Remote

Experience with high-performance computing or GPU-accelerated applications. * Experience optimizing workloads across different GPU architectures. * Background in graphics, compute shaders, or AI/ML ...

Advanced Micro Devices

Reliability Engineer

Secaucus, NJ · On-site

$104K - $130K/yr

AMD is powering the next generation of supercomputing, high-performance computing, cloud, and AI ... Programming experience with Python or Unix (Bash and/or PowerShell). * Understanding of statistical ...

Seven Research

Core Developer - Intern

New York, NY · On-site

$200K - $300K/yr

Your Role Core Developers are at the heart of our technological ecosystem, working to continuously ... Advanced knowledge of high-performance computing, distributed system design, and network ...

Seven Research

Core Developer - Intern

New York, NY

$200K - $300K/yr

Your Role Core Developers are at the heart of our technological ecosystem, working to continuously ... Advanced knowledge of high-performance computing, distributed system design, and network ...

QCi

Postdoctoral Researcher in Quantum Optics

Hoboken, NJ · On-site

$126K/yr

The successful candidate will collaborate closely with both the high-performance computing ... Required Skills and Experience - PhD in Physics, Applied Physics, Electrical Engineering, or a ...

VAST Data

Customer Support Engineer

New York, NY · On-site

... and high-performance computing at customer sites and in the lab. You will work directly with ... Scripting and programming - bash scripting is required; must be familiar with one or more other ...

VAST Data

Customer Support Engineer

Manhattan, NY · On-site

... and high-performance computing at customer sites and in the lab. You will work directly with ... Scripting and programming - bash scripting is required; must be familiar with one or more other ...

Pkaza

Lead Electrical Engineer HPC

Manhattan, NY · On-site

$176K - $183K/yr

Lead Electrical Engineer - High Performance Computing - NYC This opportunity is working directly with a leading mission-critical data center developer / wholesale provider. This company provides ...

previous page

Showing results 41-60

All JobsHigh Performance Computing Engineer JobsFreelance High Performance Computing Engineer JobsFreelance High Performance Computing Engineer Jobs in New York

Freelance High Performance Computing Engineer information

What is a freelance high performance computing engineer?

A Freelance High Performance Computing (HPC) Engineer is a professional who specializes in designing, implementing, and optimizing computing systems that handle complex, large-scale computations. They work independently or on a contract basis for different organizations, helping to develop and maintain supercomputers, clusters, and parallel processing applications. Their expertise is often sought in fields like scientific research, finance, artificial intelligence, and engineering where processing large datasets quickly is essential. Freelancers in this field typically possess strong programming skills, knowledge of HPC architectures, and experience with performance tuning and troubleshooting.

What are the key skills and qualifications needed to thrive as a freelance high performance computing engineer?

To thrive as a Freelance High Performance Computing Engineer, you need expertise in parallel programming, cluster management, and a strong background in computer science or engineering. Familiarity with tools such as MPI, OpenMP, Linux environments, and cloud-based HPC platforms, along with certifications in cloud services or HPC technologies, is highly beneficial. Excellent problem-solving, project management, and communication skills set top freelancers apart when working with diverse clients. These competencies ensure the delivery of optimized, scalable solutions and effective collaboration in complex technical projects.

How do freelance high performance computing engineers typically collaborate with client teams during projects?

Freelance HPC Engineers often work closely with client engineering, research, or IT teams to design, implement, and optimize computational solutions. Collaboration usually occurs through regular virtual meetings, code reviews, and progress updates to ensure alignment with project goals and technical requirements. Clear communication and documentation are essential, as freelancers may need to integrate their work into larger systems or hand off projects to in-house teams. Building strong relationships and understanding the client's workflow help ensure successful project delivery and can lead to ongoing opportunities.

What is the difference between Freelance High Performance Computing Engineer vs Freelance Data Scientist?

AspectFreelance High Performance Computing EngineerFreelance Data Scientist
CredentialsAdvanced degrees in computer science, engineering, or related fields; knowledge of HPC systemsDegree in data science, statistics, or related fields; proficiency in programming and analytics
Work EnvironmentSpecialized computing clusters, research labs, or cloud HPC platformsData analysis environments, cloud platforms, and business analytics tools
Industry UsageResearch institutions, scientific computing, engineering simulations
Search & Comparison IntentFocus on high-performance computing tasks, technical skills

While both roles involve advanced technical skills, Freelance High Performance Computing Engineers specialize in optimizing and managing large-scale computing resources for scientific and engineering applications. Freelance Data Scientists focus on analyzing data to extract insights for business or research purposes. The key difference lies in their core focus: HPC engineers work with hardware and system performance, whereas data scientists work with data analysis and modeling.

What are the most commonly searched types of High Performance Computing Engineer jobs in New York?

The most popular types of High Performance Computing Engineer jobs in New York are:

What are popular job titles related to Freelance High Performance Computing Engineer jobs in New York?

For Freelance High Performance Computing Engineer jobs in New York, the most frequently searched job titles are:

What job categories do people searching Freelance High Performance Computing Engineer jobs in New York look for?

The top searched job categories for Freelance High Performance Computing Engineer jobs in New York are:

Freelance High Performance Computing Engineer jobs near you
Infographic showing various Freelance High Performance Computing Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Senior Developer Technology Engineer, High-Performance Databases

New York, NY • Hybrid

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$59.50 - $78.75/hr

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

NVIDIA is currently seeking a Senior Developer Technology Engineer for High-Performance Databases. Would you enjoy researching new algorithms and memory management techniques to accelerate databases on modern computer architectures. Do you like investigating hardware and system bottlenecks, and optimizing performance of data intensive applications.

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 GPU-accelerate high performance database and ETL applications.

Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex data intensive workloads to ensure the best possible performance of current GPU architectures. 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: A 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.

Programming fluency in C/C++ with a deep understanding of algorithms and software design. Hands-on experience with low-level parallel programming, e.g., CUDA, OpenACC, OpenMP, MPI, pthreads, TBB, etc. In-depth expertise with CPU/GPU architecture fundamentals, especially memory subsystem

Domain expertise in high performance databases, ETL and data analytics 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. Data Analytics is one of the rapidly growing fields in GPU accelerated computing. Data preprocessing and data engineering are traditionally CPU based and are becoming the bottleneck for Machine Learning (ML) and Deep Learning (DL) applications, as performance of the frameworks and core ML/DL libraries has been highly optimized leveraging GPUs.

Many of today's applications have complex data analytics pipelines that can benefit from optimizations in memory management, compression, parallel algorithms like sort, search, join, aggregation, groupby, scaling up to multi GPU systems, and scaling out to many nodes. Take a look at some of the open-source projects that our Devtech team have worked on: NVIDIA nvcomp, NVIDIA Distributed join, NVIDIA cuCollections. #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 March 21, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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

View All Nvidia Jobs

Apply