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Parallel Programming Jobs in New York (NOW HIRING)

Jane Street

Compiler Engineer

New York, NY · On-site

OxCaml is Jane Street's variant of the OCaml language, equipped with powerful features for high-performance and parallel programming, with data race freedom guarantees. This role involves the full ...

Jane Street

Compiler Engineer

New York, NY · On-site

OxCaml is Jane Street's variant of the OCaml language, equipped with powerful features for high-performance and parallel programming, with data race freedom guarantees. This role involves the full ...

Nvidia

Senior Developer Technology Engineer

New York, NY · Hybrid

$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.

INT Technologies

Senior Java Developer

New York, NY · On-site

$62.75 - $79.75/hr

... parallel programming, and design patterns * Experience with Cache architecture or Big Data i.e. Coherence, Hbase, Hadoop, etc. * Experience with Oracle and sound knowledge of using SQL statements ...

INT Technologies

Senior Java Developer

New York, NY

$62.75 - $79.75/hr

... parallel programming, and design patterns * Experience with Cache architecture or Big Data i.e. Coherence, Hbase, Hadoop, etc. * Experience with Oracle and sound knowledge of using SQL statements ...

LIS Solutions

Senior Java Developer

New York, NY · On-site

$62.75 - $79.75/hr

A thorough knowledge of standard Java including latest language features and commonly used open source libraries Experience with Spring and knowledge of parallel programming concepts Experience ...

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Parallel Programming information

What is a Parallel Programming job?

A Parallel Programming job involves developing software that can execute multiple tasks or computations simultaneously to improve performance and efficiency. Professionals in this field work with multi-core processors, distributed systems, and GPU computing to optimize software for speed and scalability. They typically use programming models like MPI, OpenMP, or CUDA to implement parallelism. Industries such as high-performance computing, data science, and machine learning heavily rely on parallel programming to handle large-scale computations.

What are some typical challenges encountered in a Parallel Programming role?

Professionals in parallel programming often face challenges such as identifying code sections that can be effectively parallelized, managing data dependencies, and handling synchronization between parallel tasks. Debugging and optimizing performance in multi-threaded or distributed environments can also be complex, requiring patience and attention to detail. Collaboration with data scientists, hardware engineers, and other software developers is common, as projects frequently involve cross-functional teamwork. Overcoming these challenges is a rewarding part of the job, leading to faster, more efficient software solutions that can have a significant impact in fields like scientific computing, finance, and machine learning.

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

To excel in Parallel Programming, you need a solid background in computer science, strong proficiency in languages such as C/C++, Python, or Java, and experience with parallel computing frameworks. Familiarity with tools like OpenMP, MPI, CUDA, or parallel processing libraries, as well as relevant certifications or coursework, is highly valuable. Analytical thinking, collaboration, and effective problem-solving are essential soft skills for success in this role. These competencies enable professionals to efficiently develop, debug, and optimize scalable applications in high-performance computing environments.

What are the most commonly searched types of Parallel Programming jobs in New York? The most popular types of Parallel Programming jobs in New York are:
What are popular job titles related to Parallel Programming jobs in New York? For Parallel Programming jobs in New York, the most frequently searched job titles are:
What job categories do people searching Parallel Programming jobs in New York look for? The top searched job categories for Parallel Programming jobs in New York are:
Parallel Programming jobs near you
Infographic showing various Parallel Programming job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 3% Contract, and 1% Summer. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.
Senior Software Engineer, C++ and CUDA - Analytics and Data Intelligence

Senior Software Engineer, C++ and CUDA - Analytics and Data Intelligence

Nvidia

New York, NY • On-site

$134K - $176K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We're looking for outstanding engineers and scientists to apply their parallel programming skills to accelerate open-source software libraries for GPU data processing.

As part of NVIDIA's Analytics and Data Intelligence (ADI) team, you will drive speed-of-light performance in structured data processing, spanning hardware from single workstations to multi-node GPU supercomputers. You will be building the computational core for dataframe and database accelerators-highly optimized C++ and CUDA libraries that leverage the parallel nature of GPUs to accelerate operations from data loading and parsing to joins, aggregations, and more. Come bring your creativity and problem-solving skills to our open-source software suite, and you can be our next major contributor!

What you'll be doing:

  • Developing novel, parallel algorithms to accelerate core problems in data processing and power the next generation of data center workflows

  • Implementing solutions in C++ and CUDA

  • Contributing to open source projects, such as cuDF, Velox, Presto and Spark

  • Benchmarking, profiling, and optimizing code

  • Working closely with the world's top experts in GPU hardware, software and workflows

What we need to see:

  • 5+ years of experience in Computer Science or Software Engineering

  • MS degree or PhD in computer science, engineering, or a related field (or equivalent experience)

  • Strong Modern C++ programming skills

  • Familiarity with at least one parallel programming framework, such as CUDA, OpenACC, OpenMP, etc.

  • You care deeply about robust, readable, high-performance code

  • Excited to learn, explore new problem areas, and apply your creativity to some of the most challenging and rewarding problems we have

Ways to stand out from the crowd:

  • Familiarity with RAPIDS cuDF

  • Experience in data science workflow development and debugging

  • Passion for publishing your work in technical blogs and conferences.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: AI, Data Engineering, Data Science. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you.

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 July 7, 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.
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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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