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Parallel Jobs in New York (NOW HIRING)

3B Staffing LLC

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Work with distributed systems, multi-threading, concurrency, and parallel processing to build efficient solutions. * Design and develop RESTful APIs and implement Service-Oriented Architecture (SOA ...

HSSSoft

Devops Chef Developer.

Edison, NJ

Creating branches to support parallel development Responsible for Code control and resolving merge conflicts Creating branches to support parallel development Responsible for Code control and ...

Vanguard-IP

Patent Associate 21952 New York

Manhattan, NY · On-site

$100 - $150/hr

ITC (Section 337) investigations, including coordination with parallel district court and/or PTAB proceedings * Drafting high-quality written work product, including briefs, motions, and client ...

3B Staffing LLC

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

Work with distributed systems, multi-threading, concurrency, and parallel processing to build efficient solutions. * Design and develop RESTful APIs and implement Service-Oriented Architecture (SOA ...

Vichara

Advent Geneva Developer

Brooklyn, NY · On-site +1

Manage the task tracking related to onboarding multiple funds, as well as monitoring the health of funds we have in a parallel state. They would be expected to support our engagement with Advent ...

Vichara

Advent Geneva Developer

Brooklyn, NY

Manage the task tracking related to onboarding multiple funds, as well as monitoring the health of funds we have in a parallel state. They would be expected to support our engagement with Advent ...

Ladd & Co.

Associate, Capital Placement

Manhattan, NY · On-site

$90 - $130/hr

The role demands fluency across asset classes, the ability to manage multiple processes in parallel, and direct contact with allocators, family offices, and institutional investors. Travel across the ...

Mondo

Senior Project Manager

Manhattan, NY · Remote

$60/hr

Manage and deliver multiple projects in parallel, coordinating activities within the project team against the Program Roadmap * Own team capacity planning, Agile velocity calculation, and sprint ...

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All JobsParallel JobsParallel Jobs in New York

Parallel information

See New York salary details

$27.4K

$57.3K

$99K

How much do parallel jobs pay per year?

As of Sep 6, 2026, the average yearly pay for parallel in New York is $57,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,800.00 and $65,100.00 per year, depending on experience, location, and employer.

What is a parallel?

In the context of computing and technology, 'Parallel jobs' refer to tasks or processes that are executed simultaneously across multiple processors or computers. This approach is commonly used in high-performance computing (HPC), data processing, and scientific research to speed up complex computations by breaking them into smaller, concurrent tasks. Parallel jobs can significantly reduce the time required to process large datasets or perform intensive calculations. They are managed using parallel computing frameworks and often require specialized software and hardware to coordinate the execution of multiple processes. Understanding how to design and manage parallel jobs is essential for roles in data science, engineering, and research fields.

What skills and qualifications are needed to thrive as a parallel?

To thrive as a Parallel Computing Engineer, you need a strong background in computer science, mathematics, and parallel algorithms, often supported by a relevant degree. Proficiency with parallel programming languages (such as CUDA, OpenMP, or MPI), high-performance computing (HPC) clusters, and debugging tools is essential. Strong analytical thinking, collaborative teamwork, and effective problem-solving skills help you stand out in this field. These skills are vital for optimizing computational processes and ensuring efficient, scalable solutions in complex computing environments.

What are common challenges faced by professionals working in parallel computing roles, and how can they be addressed?

Professionals in parallel computing roles often encounter challenges such as debugging complex, concurrent code and optimizing performance across multiple processors. These issues require a solid understanding of parallel algorithms and experience with tools designed for performance profiling and debugging. Collaboration with team members is essential, as projects typically involve working closely with software engineers, system architects, and hardware specialists. To address these challenges, it's helpful to stay current with best practices, participate in code reviews, and leverage community resources and documentation.

What is the difference between Parallel vs Network Engineer?

AspectParallelNetwork Engineer
Required CertificationsCompTIA A+, Cisco CCNA, Network+CCNA, CCNP, CompTIA Network+
Work EnvironmentData centers, server rooms, cloud environmentsCorporate offices, data centers, ISPs
Industry UsageIT, cloud services, data managementTelecommunications, IT, enterprise networks
Common Search/ComparisonParallel vs Network Engineer

Parallel and Network Engineer roles share similar certifications and work environments, often overlapping in IT and data management sectors. However, Parallel roles focus more on parallel processing and computing tasks, while Network Engineers specialize in designing and maintaining network infrastructure. Understanding these differences helps job seekers identify the right career path based on their skills and interests.

What cities in New York are hiring for Parallel jobs?

Cities in New York with the most Parallel job openings:

Parallel jobs near you
Infographic showing various Parallel job openings in New York as of August 2026, with employment types broken down into 80% Full Time, 16% Part Time, and 4% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $57,284 per year, or $27.5 per hour.

Senior AI Developer Technology Engineer, Financial Sector

Nvidia

New York, NY • Hybrid

$59.50 - $78.75/hr

Full-time

Re-posted 18 days ago

Key responsibilities

  • Research and develop techniques to GPU-accelerate high-performance workloads at the intersection of AI and financial markets.

  • Perform in-depth analysis and optimization of complex AI and HPC workloads to ensure optimal performance on CPU and GPU architectures.

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

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

We're currently seeking a Senior AI Developer Technology Engineer, Financial Sector!

Would you like to help shape the future of financial AI and data analytics by designing and optimizing parallel algorithms on cutting-edge computing platforms?Is it rewarding toinvestigate, find, and eliminate systembottlenecks to achieve the best possible performance of computer hardware?Could you be thrilled about an opportunity to partner with the Developer community, working at the forefront of technology breakthroughs that contribute to the success of an industry leader like NVIDIA? If so, the Developer Technology Team invites you to consider this role.

What you will be doing:

  • In this position, you will research and develop techniques to GPU-accelerate high-performance workloads at the intersection of AI and financial markets.

  • Work directly with other technical experts in their fields (industry and academia) to perform in-depth analysis and optimization of complex AI and HPC workloads to ensure the best possible performance on modern CPU and GPU architectures.

  • 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:

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

  • You have 5+ years of relevant work or research experience.

  • Direct experience improving the performance of large computational applications used by financial institutions.

  • Excellent understanding of linear algebra.

  • 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.

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

Ways to stand out from the crowd:

  • A Master's or PhD in a relevant field is highly valued.

  • Prior work experience in capital markets with exposure to systematic/algorithmic strategies and quantitative trading.

  • Experience with parallelizing and optimizing machine learning algorithms like decision trees, time series, and Monte Carlo simulations.

  • Deep knowledge of financial data models, pricing/risk simulation algorithms, portfolio optimization, or other financial specific applications/ services.

  • Have developed ML/DL techniques in the finance space, such as stock market prediction, fraud detection, portfolio optimization/selection.

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 a GPU 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 Developer Technology Team provides ample opportunity for growth in the exciting field of GPU-accelerated computing!

#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 August 9, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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