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Parallel Programming Jobs in New York (NOW HIRING)

Java Developer

New York, NY · On-site

$55.75 - $72.25/hr

Experience with Spring and knowledge of parallel programming concepts * Knowledge of Scala * Experience with MQ, SOAP, WSDL, REST * Experience with Git and Jira * Experience working in a large ...

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 ...

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 ...

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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.

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 ...

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 ...

Senior Java Developer

New York, NY

$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:
Infographic showing various Parallel Programming job openings in New York as of June 2026, with employment types broken down into 47% Full Time, 39% Part Time, 8% Temporary, and 6% Contract. Highlights an 74% Physical, 6% Hybrid, and 20% Remote job distribution.

Senior Software Developer (C++/Python, Geospatial)

Futran Tech Solutions Pvt. Ltd.

Bedminster, NJ • On-site

$55.50 - $73.50/hr

Full-time

Posted 24 days ago


Job description

Role: Senior Software Developer (C++/Python, Geospatial)
Location: Bedminster, NJ, New Jersey, US (5 days per week in the office)
Project Description:
This project will leverage huge data sets for extraction, pipelining and ETL focused on geospatial and vector type data sets. USGS type data will be used to develop target data sets using complex methods of manipulation. The position will require critical thinking beyond just core development. The right candidate will have a research mindset and ability to solution with minimal guidance and direction. The project requires a knowledge of distributed and parallel computing with ability to coordinate across multiple systems.
Responsibilities:
The responsibilities will include data processing (geospatial) and work on point cloud data sets. The developer will use Python for data processing and C++ libraries for development (i.e. data infrastructure). Requires critical thinking, solutioning problems and communicating effectively.
Mandatory Skills Description:
Navigation > Open Geospatial Consortium (OGC) formats (3D Tiles, MVT, WCS, WFS, WMS, WMTS), Python, Pandas, Navigation > GeoPandas, C++, Point Cloud, AWS Data Pipeline, Parallel Programming, Navigation > Geospatial Data Abstraction Library (GDAL), Navigation > Raster formats (ESRI Grid, GeoTIFF, JPEG 2000, NITF), VECTOR
Nice-to-Have Skills:
researcher mentality, critical thinking, out of box solutioning.
Steps of screening that will be held by client:
• 45 minute screening
• 3-4 hour block of technical interview
• 2-3 programming exercises
o Matrix computations
o Graph search
o Optimization on dynamic programming - most difficult