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Parallel Programming Jobs in New York (NOW HIRING)

LIS Solutions

Senior Java Developer

New York, NY · On-site

$62.75 - $79.75/hr

... parallel programming concepts • Experience working in a large technology organization, ideally within investment banking • User-level knowledge of Unix/Linux • Knowledge of basic SQLSkills ...

Parallel Web Systems Inc

Deployed Engineer

New York, NY · On-site

$150K - $300K/yr

About us Parallel is a web infrastructure company. Our products are used by leading businesses in ... Join our deployed engineering team - you will work closest with our customers, help them get the ...

Jane Street

Programming Language Engineer

New York, NY · On-site

Programming languages work at Jane Street spans a wide variety of different areas: * Language ... Incremental and parallel computation. Building runtimes that can evaluate large, irregular, dynamic ...

Nokia

Photonics Layout and Tooling Engineer

Manhattan, NY · On-site

$105K - $195K/yr

Background in parallel programming (multithreading and multiprocessing) is a plus. * Experience with SQL database systems. * Familiarity with containerization technologies (e.g., Docker, Kubernetes)

Bristal Assisted Living

Lifestyle Director

Somerset, NJ · On-site

$75K/yr

... parallel programming in both neighborhoods, including additional small group or 1:1 resident programming where applicable and beneficial. * Create monthly schedules for the Programming Department ...

HSSSoft

Devops Chef Developer.

Edison, NJ

We do have a job opening for the position of Devops Chef DeveloperPosition with one of our clients ... Creating branches to support parallel development Responsible for Code control and resolving merge ...

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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.

Research Scientist, ML Systems

Elliot Partnership

New York, NY • On-site

Full-time

Re-posted 7 days ago

Job description

  • Research Scientist, ML Systems (HPC & Systems Optimization)
  • New York, NY (Hybrid, 3 days in office)
  • Highly competitive compensation package

Join an elite technology and research group at the forefront of global finance, where world-class engineering and quantitative research converge to solve some of the most complex problems in any industry. Their teams are composed of passionate, first-principles thinkers who operate in one of the world's most demanding high-performance computing environments. We are seeking a visionary systems specialist to join them and re-engineer the fundamental building blocks of their machine learning models, enabling the next generation of quantitative research.
The Role
We are seeking a specialist with a Ph.D. for a unique role that sits at the deep intersection of ML algorithms and high-performance hardware, much in the vein of researchers like Tri Dao. This is not a typical ML position. It's a role for a true systems builder who can optimize the core computational mechanics of complex models through low-level, hardware-aware development. You will have the autonomy and resources to dive deep into the stack, profile performance bottlenecks, and write highly optimized code to push the boundaries of what's possible on the latest hardware.
Responsibilities
  • Re-engineer the fundamental building blocks of complex machine learning models to achieve massive performance gains.
  • Design and implement novel numerical algorithms in C++ and CUDA to accelerate model training and inference.
  • Profile and analyze deep learning workloads to identify and solve non-obvious performance bottlenecks across the entire system, from the CPU to the GPU and interconnect.
  • Collaborate with world-class quantitative researchers and engineers to co-design and implement the next generation of ML systems and infrastructure.
  • Stay at the cutting edge of academic and industry research in HPC, computer architecture, and ML systems.

Who we're looking for
  • A Ph.D. in Computer Science, Electrical & Computer Engineering, Physics, or a related technical field with a strong publication record.
  • Deep, hands-on expertise in high-performance computing (HPC) and parallel programming models (e.g. CUDA, MPI, OpenMP).
  • Expert-level proficiency in C++ for performance-critical development.
  • Demonstrable experience in low-level systems optimization, performance profiling, and identifying hardware bottlenecks (e.g. memory bandwidth, latency).
  • A background in optimizing numerical algorithms, computational mechanics, or compiler technologies is a significant plus.

Apply