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Parallel Jobs in Schenectady, NY (NOW HIRING)

Windows, Linux) Experience with Java Swing Experience with Graphical User Interface Parallel programming and running parallel jobs on supercomputing systems Experience functioning within an agile ...

Windows, Linux) โ€ข Experience with Java Swing โ€ข Experience with Graphical User Interface โ€ข Parallel programming and running parallel jobs on supercomputing systems โ€ข Experience functioning ...

Cloud Platform Delivery Lead - Azure: Manager

Albany, NY ยท On-site

$63 - $82.25/hr

... parallel Azure workstreams (e.g., six to seven concurrent workstreams). Demonstrates the ability to make informed technical decisions, identify delivery and execution risks, evaluate trade-offs, and ...

Advanced knowledge of concurrency, lock-free data structures, and parallel processing. * Mentorship Skills: Experience supporting or mentoring less experienced developers as they build new skills.

You also have a strong ability to work independently and manage multiple audits in parallel. Willing and able to travel up to 50% domestically and internationally to supplier sites and flexibility to ...

Parallel information

See Schenectady, NY salary details

$24.2K

$50.7K

$87.6K

How much do parallel jobs pay per year?

As of Jun 14, 2026, the average yearly pay for parallel in Schenectady, NY is $50,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,700.00 and $57,600.00 per year, depending on experience, location, and employer.

Did the US lose 33,000 jobs in June?

The job title 'Parallel' does not relate directly to employment data; however, in June, the US economy added approximately 339,000 jobs according to the Bureau of Labor Statistics, so there was no loss of 33,000 jobs that month. Job reports are typically released monthly and include data on employment changes across various sectors.

How to make $2000 a week working from home?

To make $2000 a week working from home, individuals often pursue high-paying freelance roles, remote sales positions, or specialized consulting that leverage in-demand skills. Building a strong portfolio, gaining relevant certifications, and using online platforms can help increase earning potential, but consistent high income typically requires experience, skill, and dedication.

What are some 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 are parallel jobs?

Parallel jobs refer to tasks or processes that run simultaneously to improve efficiency and reduce completion time. In a work context, this often involves managing multiple projects or responsibilities at the same time, requiring strong organizational and multitasking skills.

What are the key skills and qualifications needed to thrive as a Parallel (Parallel Computing Engineer), and why are they important?

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.

How to make $10,000 a month without a degree?

To earn $10,000 a month in a role like a software developer or freelancer, focus on building specialized skills, gaining experience, and offering high-value services. Many high-paying jobs in tech, sales, or consulting do not require a degree but do require strong skills, certifications, or a proven track record, often involving remote work or flexible schedules.
What cities near Schenectady, NY are hiring for Parallel jobs? Cities near Schenectady, NY with the most Parallel job openings:
Infographic showing various Parallel job openings in Schenectady, NY as of June 2026, with employment types broken down into 100% Full Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $50,660 per year, or $24.4 per hour.
Software Developer (3793)

Software Developer (3793)

Navarro Inc.

Niskayuna, NY โ€ข On-site

Other

Posted 29 days ago


Job description

Navarro Research and Engineering is recruiting a Software Developer in Niskayuna, NY. A DOE L Clearance (or DOD equivalent) is required to be considered for this position.

Navarro Research & Engineering is an award-winning federal contractor dedicated to partnering with clients to advance clean energy and deliver effective solutions for complex challenges in the nuclear and environmental fields. Joining Navarro means being a part of an exceptional team committed to quality and safety while also looking for innovative strategies to create value for the client's success. Headquartered in Oak Ridge, Tennessee, Navarro has active programs in place across the nation for DOE/NNSA, NASA, and the Department of Defense.

The Core Analysis Process System (CAPS) Project is looking to hire a software developer with a passion for developing and implementing complex software solutions for scientific and engineering problems on high performance supercomputing systems. The project works directly with our engineers to provide common software engineering solutions for the reactor design community, applicable to all naval nuclear core designs. The project is focused on the ability to provide robust, user friendly, automated tools to evaluate thermal hydraulic and reactor performance design conditions. Depending on the background of the individual, near-term work assignments may include designing, developing, testing, verifying, and maintaining engineering software or porting engineering software to modern computing architectures. Work will be largely focused on problem solving; software systems architecture, scientific programming; and requirements gathering across application developers, engineering users, and system administrator groups. Particular application areas include nuclear reactor physics, reactor thermal performance and casualty analysis, and data science.

Desired Knowledge, Skills, and Abilities

Demonstrated experience with all aspects of software architecture (design, implementation, testing, maintenance, configuration management) Experience with client-server software systems used across multiple operating environments (e.g. Windows, Linux) Experience with Java Swing Experience with Graphical User Interface Parallel programming and running parallel jobs on supercomputing systems Experience functioning within an agile development methodology Ability to work effectively across multiple projects simultaneously Demonstrated ability and passion for developing scientific software Capacity to work independently, as well as within interdisciplinary teams with minimal supervision