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Parallel Jobs in New York (NOW HIRING)

Nvidia

Senior Developer Technology Engineer

New York, NY · On-site +1

$59.50 - $78.75/hr

A background that includes parallel programming, ideally CUDA C/C++. * Hands on experience doing low-level performance optimizations. * In-depth expertise with CPU and GPU architecture fundamentals.

A3N consulting Llc

Fidessa Developer

Jersey City, NJ · On-site

Functional Skills · Ability to handle multiple projects in parallel and manage time effectively. · Proactive, self-driven, and able to take full ownership with minimal supervision. · Strong ...

Thea Enterprises LLC

Warehouse Associate

Clifton, NJ · On-site

$17/hr

Growing warehousing operation in Clifton, NJ looking for an experienced candidate to cut, parallel, and spool electric wire and cable. * Must be able to operate a forklift and communicate effectively ...

IntraEdge

Program Manager II

Manhattan, NY

Manage parallel testing framework (PTF) and testing best practices * Own prioritization for entire program, and focused planning on key areas Data Insights & Funding Management * Collate data to ...

IntraEdge

Program Manager II

Manhattan, NY · On-site

Manage parallel testing framework (PTF) and testing best practices * Own prioritization for entire program, and focused planning on key areas Data Insights & Funding Management * Collate data to ...

Sonsoft Inc

Ruby Chef Developer

Edison, NJ · On-site

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

Sonsoft Inc

Ruby 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 ...

Jane Street

Programming Language Engineer

New York, NY · On-site

Incremental and parallel computation. Building runtimes that can evaluate large, irregular, dynamic computation graphs incrementally and/or parallel across many cores and machines, with first-class ...

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Showing results 21-40

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 5, 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 Developer Technology Engineer

Nvidia

New York, NY • On-site, Remote

$59.50 - $78.75/hr

Full-time

Re-posted 29 days ago

Key responsibilities

  • Research and develop techniques to accelerate top CSP workloads on NVIDIA's computing platform including CPUs, GPUs, and interconnects.

  • Work directly with key customers to analyze and optimize complex workloads for improved performance on current and next-generation hardware.

  • Collaborate with libraries, tools, system software architecture, hardware, and research teams to influence the design of next-generation programming models, software, and architectures.

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 Developer Technology Engineer!

NVIDIA's Developer Technology Engineering team is a global network of world-class experts revolutionizing industries through accelerated computing. We empower developers with groundbreaking solutions that solidify NVIDIA's leadership. If you're passionate about optimizing large application workloads, eliminating system bottlenecks, and collaborating on cutting-edge technology breakthroughs, consider joining our team.

What you will be doing:

  • In this role, you will research and develop techniques to accelerate top CSP workloads on NVIDIA's computing platform including advanced CPUs, GPUs and interconnects.

  • Work directly with key customers to perform in-depth analysis and optimization of complex workloads to ensure the best possible performance on current and next-generation hardware.

  • Collaborate with libraries, tools, system software architecture, hardware, and research teams at NVIDIA to influence the design of next-generation programming models, software, and architectures.

What we need to see:

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

  • You have 8+ years of relevant work experience or research.

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

  • A background that includes parallel programming, ideally CUDA C/C++.

  • Hands on experience doing low-level performance optimizations.

  • In-depth expertise with CPU and GPU architecture fundamentals.

  • Strong math skills, including linear algebra, for problem-solving and performance modeling

  • Good communication, organization and prioritization skills

Ways to stand out from the crowd:

  • Designed highly optimal parallel algorithms and data structures for applications with high bytes to compute ratio, such as processing directly on compressed data and kernel fusion.

  • You optimized end-to-end performance of applications spanning many layers of software, from OS to high-level frameworks.

  • You influenced hardware feature design leveraging your application and domain knowledge.

The Developer Technology Engineer (DevTech) 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 visibility 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

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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