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.
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.
Mainframe Systems Engineer (zOS Mainframe Internals, Parallel Sysplex, Hardware & Storage) Remote
$57.50 - $73.25/hr
... Engineer to oversee and administer the company's enterprise mainframe environment. In this role, you will support a Parallel Sysplex infrastructure and play a critical role in ensuring system ...
Mainframe Systems Engineer (zOS Mainframe Internals, Parallel Sysplex, Hardware & Storage) Remote
$57.50 - $73.25/hr
... Engineer to oversee and administer the company's enterprise mainframe environment. In this role, you will support a Parallel Sysplex infrastructure and play a critical role in ensuring system ...
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 ...
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 ...
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 ...
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 ...
Hands-on experience in low-level performance optimization, including GPU parallel programming, e.g., CUDA. * Programming fluency in C/C++ with a deep understanding of algorithms and software ...
Hands-on experience in low-level performance optimization, including GPU parallel programming, e.g., CUDA. * Programming fluency in C/C++ with a deep understanding of algorithms and software ...
... GPU programming, parallel programming experience • General optimization experience Principal Duties and Responsibilities: • Work on a wide range of ML compilers • Improve ML compiler ...
... GPU programming, parallel programming experience • General optimization experience Principal Duties and Responsibilities: • Work on a wide range of ML compilers • Improve ML compiler ...
Proven skills in asynchronous and parallel programming with practical experience using asyncio. * Experience working in Agile environments and applying core design patterns. * Demonstrated ...
Proven skills in asynchronous and parallel programming with practical experience using asyncio. * Experience working in Agile environments and applying core design patterns. * Demonstrated ...
Experience with parallel programming (e.g. OpenMP, MPI). * Experience working with collaborative software engineering practices, including coding standards and code review. * Experience writing ...
Experience with parallel programming (e.g. OpenMP, MPI). * Experience working with collaborative software engineering practices, including coding standards and code review. * Experience writing ...
Proven skills in asynchronous and parallel programming with practical experience using asyncio. * Experience working in Agile environments and applying core design patterns. * Demonstrated ...
Proven skills in asynchronous and parallel programming with practical experience using asyncio. * Experience working in Agile environments and applying core design patterns. * Demonstrated ...
Background in parallel programming (multithreading and multiprocessing) is a plus. * Experience with SQL database systems. * Familiarity with containerization technologies (e.g., Docker, Kubernetes)
Background in parallel programming (multithreading and multiprocessing) is a plus. * Experience with SQL database systems. * Familiarity with containerization technologies (e.g., Docker, Kubernetes)
Background in parallel programming (multithreading and multiprocessing) is a plus. * Experience with SQL database systems. * Familiarity with containerization technologies (e.g., Docker, Kubernetes)
Background in parallel programming (multithreading and multiprocessing) is a plus. * Experience with SQL database systems. * Familiarity with containerization technologies (e.g., Docker, Kubernetes)
... 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 ...
Quick apply
... 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 ...
GTM, AI-Native
New York, NY · On-site
$132.40K - $173.40K/yr
You might come from early GTM, technical founding teams, solutions or customer engineering, VC, or an unconventional path. Life at Parallel Our team works fully in-person , between our Palo Alto HQ ...
GTM, AI-Native
New York, NY · On-site
$132.40K - $173.40K/yr
You might come from early GTM, technical founding teams, solutions or customer engineering, VC, or an unconventional path. Life at Parallel Our team works fully in-person , between our Palo Alto HQ ...
Lifestyle Director
Manhattan, NY · On-site
$90K/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 ...
Lifestyle Director
Manhattan, NY · On-site
$90K/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 ...
GTM, Enterprise
New York, NY · On-site
About us Parallel is a web infrastructure company. Our products are used by leading businesses in ... We're currently valued at $2 billion and we're forming a world-class team of engineers, designers ...
GTM, Enterprise
New York, NY · On-site
About us Parallel is a web infrastructure company. Our products are used by leading businesses in ... We're currently valued at $2 billion and we're forming a world-class team of engineers, designers ...
... graph systems, parallel runtimes, or another related field * You have strong experience in performance analysis and optimization * No previous experience with OCaml or functional programming ...
... graph systems, parallel runtimes, or another related field * You have strong experience in performance analysis and optimization * No previous experience with OCaml or functional programming ...
... graph systems, parallel runtimes, or another related field * You have strong experience in performance analysis and optimization * No previous experience with OCaml or functional programming ...
... graph systems, parallel runtimes, or another related field * You have strong experience in performance analysis and optimization * No previous experience with OCaml or functional programming ...
NJ Duration: Full Time Description: DevOps Release Engineer Responsibilities include Deploying ... Creating branches to support parallel development Responsible for Code control and resolving merge ...
NJ Duration: Full Time Description: DevOps Release Engineer Responsibilities include Deploying ... Creating branches to support parallel development Responsible for Code control and resolving merge ...
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 ...
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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AI Systems Engineering | Autonomous Agents | Scalable Clusters
New York, NY · On-site
$250K - $600K/yr
The mission involves the architectural stewardship of massively parallel supercomputers and high ... Validate system performance through rigorous scripting and programming of distributed systems ...
New
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Be Seen First
AI Systems Engineering | Autonomous Agents | Scalable Clusters
New York, NY · On-site
$250K - $600K/yr
The mission involves the architectural stewardship of massively parallel supercomputers and high ... Validate system performance through rigorous scripting and programming of distributed systems ...
New
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 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 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 job makes $10,000 a month without a degree?
In the field of parallel programming, highly skilled software developers or engineers working on complex systems can earn $10,000 or more per month, especially with expertise in high-demand areas like GPU programming, distributed systems, or specialized frameworks. These roles often require strong coding skills, experience with parallel algorithms, and proficiency in tools such as CUDA or OpenCL, but may not always require a formal degree if demonstrated through a strong portfolio or certifications.
More about Parallel Programming jobs
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:
Full-time
Posted 25 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.